3D Microwave Imaging Using Huygens Principle: A Phantom-based Validation

Journal article

Khalid, B., Khalesi, B., Ghavami, N., Dudley, S., Ghavami, M. and Tiberi, G. (2021). 3D Microwave Imaging Using Huygens Principle: A Phantom-based Validation. 2021 Photonics & Electromagnetics Research Symposium (PIERS). https://doi.org/10.1109/piers53385.2021.9695090
AuthorsKhalid, B., Khalesi, B., Ghavami, N., Dudley, S., Ghavami, M. and Tiberi, G.
Abstract

The main aim of this paper is to upgrade MammoWave acquisition and appropriately extend the Huygens Principle (HP) algorithm for allowing a 3D imaging reconstruction.
The MammoWave device contains a cylindrical hub and two antennas, which are positioned at the same height and connected to a 2-port vector network analyser (Cobalt C1209, Copper Mountain, Indianapolis, IN). The two antennas can rotate azimuthally all around the object to be imaged. Measurements are performed recording the complex S21 in a multi-bistatic fashion. In this paper, we have performed a phantom-based investigation using a multi-quote scanning
procedure via MammoWave operating at a 1{6.5 GHz frequency range. Specifically, a cylindrical phantom possessing a radius of 5.5 cm and height of 13 cm is constructed and a 3D structured volumetric flask with the spherical bottom (radius 1.75 cm) is used as inclusion. The materials and mixtures used in the preparation of the phantom have a contrast of 5 in dielectric properties. Next, measurements at planes along the z-axis are performed and multi-quote data are used in a modified version of the HP-based algorithm via superimposition theorem. The complex 6£15£80 S21 is processed allowing 3D imaging reconstruction; our results clearly show the 3D visualisation of the detected inclusion at multiple planes. In more details, we verified that the dimension of the detected inclusion varies in the different planes of visualisation, accordingly to the spherical inclusion cross-section, with an average error in dimension qualification of < 10%.

Keywords3D Microwave Imaging; Huygens Principle; Phantom-based Validation; UWB
Year2021
Journal2021 Photonics &amp; Electromagnetics Research Symposium (PIERS)
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Digital Object Identifier (DOI)https://doi.org/10.1109/piers53385.2021.9695090
Web address (URL)https://piers.org/
Publication dates
Online21 Nov 2021
Print21 Nov 2021
Publication process dates
Accepted25 Oct 2021
Deposited05 Nov 2021
Accepted author manuscript
License
File Access Level
Open
Web address (URL) of conference proceedingshttps://piers.org/
Permalink -

https://openresearch.lsbu.ac.uk/item/8y8q7

Download files

Accepted author manuscript
3D Microwave Imaging.pdf
License: CC BY 4.0
File access level: Open

  • 227
    total views
  • 76
    total downloads
  • 0
    views this month
  • 0
    downloads this month

Export as

Related outputs

Machine Learning Techniques for Autonomous Lesion Detection in Microwave Breast Imaging Clinical Data
Shadwell, H., Nnadi, N., Aliyu, A., Ghavami, N., Ghavami, M., Tiberi, G. and Sohani, B. (2024). Machine Learning Techniques for Autonomous Lesion Detection in Microwave Breast Imaging Clinical Data. ISMICT 2024. London, UK 15 - 17 May 2024 Institute of Electrical and Electronics Engineers (IEEE).
Automated Marker-based Abnormal Gait Pattern Detection Using Novel 6-dimensional Skeleton
Wickramarachchi, W., Brown, R., Ghavami, M., Berthaume, M. and Dudley-Mcevoy, S. (2024). Automated Marker-based Abnormal Gait Pattern Detection Using Novel 6-dimensional Skeleton. ISMICT 2024. London, UK 15 - 17 May 2024 Institute of Electrical and Electronics Engineers (IEEE).
Huygens Principle based Microwave Imaging for Lung Lesion Detection using Realistic Phantom
Khalid, B., Khalesi, B., Ghavami, N., Brown, R., Dudley-Mcevoy, S., Ghavami, M. and Tiberi, G. (2024). Huygens Principle based Microwave Imaging for Lung Lesion Detection using Realistic Phantom. ISMICT 2024. London, UK 15 - 17 May 2024 Institute of Electrical and Electronics Engineers (IEEE).
Ultra-Wide Band Radar Empowered Driver Drowsiness Detection with Convolutional Spatial Feature Engineering and Artificial Intelligence
Siddiqui, H., Akmal, A., Iqbal, M., Saleem, A., Raza, M., Zafar, K., Zaib, A., Dudley-Mcevoy, S., Arambarri, J., Castilla, Á. and Rustam, F. (2024). Ultra-Wide Band Radar Empowered Driver Drowsiness Detection with Convolutional Spatial Feature Engineering and Artificial Intelligence. Sensors. 24 (12), p. 3754. https://doi.org/10.3390/s24123754
Frequency Selection to Improve the Performance of Microwave Breast Cancer Detecting Support Vector Model by Using Genetic Algorithm
Taghipour-Gorjikolaie, M., Khalesi, B., Ghavami, N., Tiberi, G., Badia, M., Papini, L., Fracassini, A., Bigotti, A., Palomba, G. and Ghavami, M. (2024). Frequency Selection to Improve the Performance of Microwave Breast Cancer Detecting Support Vector Model by Using Genetic Algorithm. MeMeA: IEEE Medical Measurments & Applications. EINDHOVEN, THE NETHERLANDS 26 - 28 Jun 2024 IEEE. https://doi.org/10.1109/memea60663.2024.10596878
Modified Flower Pollination Algorithm for Energy Forecasting and Demand Management Coupled with Improved Battery Life for Smart Building Micro-Grid
Hamza, Ali, Ali, Zunaib, Dudley, Sandra, Uneeb, Muhammad, Alghamdi, Sultan M and Christofides, Nicholas (2024). Modified Flower Pollination Algorithm for Energy Forecasting and Demand Management Coupled with Improved Battery Life for Smart Building Micro-Grid. 2024 IEEE Texas Power and Energy Conference (TPEC). https://doi.org/10.1109/tpec60005.2024.10472245
Gender classification based on gait analysis using ultrawide band radar augmented with artificial intelligence
Dudley-Mcevoy, S., Saleem, A., Siddiqui, H. and Sehar, R. (2024). Gender classification based on gait analysis using ultrawide band radar augmented with artificial intelligence. Expert Systems with Applications. 249 (PART C). https://doi.org/http10.1016/j.eswa.2024.123843
Power Grid Frequency Forecasting from μPMU Data using Hybrid Vector-Output LSTM network
Dey, M., Wickramarachchi, D., Rana, S.P., Simmons, .C.V and Dudley, S. (2023). Power Grid Frequency Forecasting from μPMU Data using Hybrid Vector-Output LSTM network. 2023 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE). 23 - 26 Oct 2023 IEEE. https://doi.org/10.1109/ISGTEUROPE56780.2023.10408056
Distribution Substation Dynamic Reconfiguration and Reinforcement-Digital Twin Model
Brown, R., Wickramarachchi, W., Ali, Z., Saleem, K. and Dudley-Mcevoy, S. (2023). Distribution Substation Dynamic Reconfiguration and Reinforcement-Digital Twin Model. IEEE Energy Conversion Congress and Exposition (ECCE). Center in Nashville, Tennessee | October 29 – November 2, 2023 29 Oct - 02 Nov 2023 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ECCE53617.2023.10362160
MammoWave Breast Imaging Device: Prospective Clinical Trial Results and AI Enhancement
Ghavami, N., Sánchez-Bayuela, D.A., Badia, M., Papini, L., Rana, S.P., Bigotti, A., Palomba, G., Raspa, G., Castellano, C.R., Bernardi, D., Tagliafico, A., Calabrese, M., Dudley, S., Ghavami, M. and Tiberi, G. (2023). MammoWave Breast Imaging Device: Prospective Clinical Trial Results and AI Enhancement. IEEE. https://doi.org/10.1109/cama57522.2023.10352699
Power Grid Frequency Forecasting from μPMU Data using Hybrid Vector-Output LSTM network
Dey, M., Wickramarachchi, D., Rana, S.P., Simmons, C.v. and Dudley, S. (2023). Power Grid Frequency Forecasting from μPMU Data using Hybrid Vector-Output LSTM network. 2023 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE). https://doi.org/10.1109/isgteurope56780.2023.10408056
Novel Parameter-Free and Parametric Same Degree Distribution-based Dimensionality Reduction Algorithms for Trustworthy Data Structure Preserving
Hajderanj, L., Chen, D. and Dudley-Mcevoy, S. (2023). Novel Parameter-Free and Parametric Same Degree Distribution-based Dimensionality Reduction Algorithms for Trustworthy Data Structure Preserving. Information Sciences. 661, p. 120030. https://doi.org/10.1016/j.ins.2023.120030
Cancer Detection Using Advanced UWB Microwave Technology
Khalid, B. (2023). Cancer Detection Using Advanced UWB Microwave Technology. PhD Thesis London South Bank University School of Engineering https://doi.org/10.18744/lsbu.95w5x
Cost-effective and Resilient Operation of Distribution Grids and 5G Telecommunication
Wang, J., Qiu, D., Wang, Y., Ghosh, S., Pinson, P., Dudley, S. and Strbac, G. (2023). Cost-effective and Resilient Operation of Distribution Grids and 5G Telecommunication. 2023 IEEE Power &amp; Energy Society General Meeting (PESGM). https://doi.org/10.1109/pesgm52003.2023.10252696
Footwear-integrated force sensing resistor sensors: A machine learning approach for categorizing lower limb disorders
Siddiqui, H.U.R., Nawaz, S., Saeed, M., Saleem, A., Raza, M.A., Raza, A., Aslam, M.A. and Dudley, S. (2023). Footwear-integrated force sensing resistor sensors: A machine learning approach for categorizing lower limb disorders. Engineering Applications of Artificial Intelligence. 127, p. 107205. https://doi.org/10.1016/j.engappai.2023.107205
Empowering Lower Limb Disorder Identification through PoseNet and Artificial Intelligence
Siddiqui, H., Saleem, A., Raza, M., Villar, S., Lopez, L., Díez, I., Rustam, F. and Dudley-Mcevoy, S. (2023). Empowering Lower Limb Disorder Identification through PoseNet and Artificial Intelligence. Diagnostics. 13 (18), p. 2881. https://doi.org/10.3390/diagnostics13182881
A Reliable Antenna Array for the 28GHz mmWave Band in a 5G Massive MIMO Communication
Ekolle, Z.E., Ryuji, K. and Ghavami, M. (2023). A Reliable Antenna Array for the 28GHz mmWave Band in a 5G Massive MIMO Communication. International Symposium On Wireless Personal Multimedia Communications. Tampa, Florida 19 - 22 Nov 2023
Huygens Principle-based Microwave Brain Imaging through Finite Difference Time Domain
Movafagh, M., Ghavami, N., Tiberi, G., Dudley-Mcevoy, S. and Ghavami, M. (2023). Huygens Principle-based Microwave Brain Imaging through Finite Difference Time Domain. 2023 IEEE Conference on Antenna Measurements & Applications. Genoa, Italy 15 - 17 Nov 2023 Institute of Electrical and Electronics Engineers (IEEE).
Enhancing Cricket Performance Analysis with Human Pose Estimation and Machine Learning
Siddiqui, H., Faizan Y., Rustam, F., Soriano, E., Ballester, J.B., Díez, I., Dudley-Mcevoy, S. and Ashraf, I. (2023). Enhancing Cricket Performance Analysis with Human Pose Estimation and Machine Learning. Sensors. 23 (15), p. 6839. https://doi.org/10.3390/s23156839
A multicentric, single arm, prospective, stratified clinical investigation to evaluate MammoWave’s ability in breast lesions detection
Ghavami, M., Ghavami, N., Tiberi, G., Alvarez Sánchez-Bayuela, D., Badia, M., Romero Castellano, C., Calabrese, M. and Tagliafico, A. (2023). A multicentric, single arm, prospective, stratified clinical investigation to evaluate MammoWave’s ability in breast lesions detection. PLoS ONE. 18 (7), p. e0288312. https://doi.org/10.1371/journal.pone.0288312
Dataset related to "A multicentric, single arm, prospective, stratified clinical investigation to evaluate MammoWave’s ability in breast lesions detection"
Tiberi, G., Ghavami, M., Alvarez Sánchez-Bayuela, D., Ghavami, N., Tagliafico, A. and Romero Castellano, C. (2023). Dataset related to "A multicentric, single arm, prospective, stratified clinical investigation to evaluate MammoWave’s ability in breast lesions detection". London South Bank University. https://doi.org/10.18744/lsbu.9457q
Cutting-edge strategies for breast lesions detection through Radiomics in novel microwave imaging technologies: Features' extraction reliability on microwave images from MammoWave device
Tiberi, G., Ghavami, M., Dudley-Mcevoy, S., Ghavami, N. and Alvarez Sánchez-Bayuela, D. (2023). Cutting-edge strategies for breast lesions detection through Radiomics in novel microwave imaging technologies: Features' extraction reliability on microwave images from MammoWave device. ECR 2023. Vienna 01 - 05 Mar 2023 European Society of Radiology. https://doi.org//10.26044/ecr2023/C-18521
MammoWave Breast Imaging Device: An International and Multicentric Clinical Investigation
Tiberi, G., Ghavami, M., Ghavami, N., Tagliafico, A, Calabrese, M and Alvarez Sánchez-Bayuela, D. (2023). MammoWave Breast Imaging Device: An International and Multicentric Clinical Investigation. EUCAP 23. Florence, Italy 26 - 31 Mar 2023 EuCAP.
A Spiral-like Acquisition Strategy for 3D Huygens' Principle Based Microwave Imaging
Khalid, B., Khalesi, B., Ghavami, N., Raspa, G., Badia, M., Dudley-Mcevoy, S., Ghavami, M. and Tiberi, G. (2023). A Spiral-like Acquisition Strategy for 3D Huygens' Principle Based Microwave Imaging. Photonics & Electromagnetics Research Symposium (Piers) 2023. Prague 06 Jun - 03 Jul 2023 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/PIERS59004.2023.10221326
A Multicentric, Single Arm, Prospective, Stratified Clinical Investigation to Confirm MammoWave’s Ability in Breast Lesions Detection
Ghavami, M., Tiberi, G., Ghavami, N., Alvarez Sánchez-Bayuela, D., Castellano, C., Bigotti, A., Badia, M., Papini, L., Raspa, G., Palomba, G., Loretoni, R., Calabrese, M. and Tagliafico, A. (2023). A Multicentric, Single Arm, Prospective, Stratified Clinical Investigation to Confirm MammoWave’s Ability in Breast Lesions Detection. Diagnostics. 13 (12). https://doi.org/10.3390/diagnostics13122100
Multi-BD Symbiotic Radio-Aided 6G IoT Network: Energy Consumption Optimization with QoS Constraint Approach
Ghavami, M., Yeganeh, R. and Omidi, M. (2023). Multi-BD Symbiotic Radio-Aided 6G IoT Network: Energy Consumption Optimization with QoS Constraint Approach. IEEE Transactions on Green Communications and Networking. https://doi.org/10.1109/TGCN.2023.3281460
Breast Cancer Detection using Machine Learning Approaches on Microwave-based Data
Ghavami, M., Ghavami, N., Rana, S. and Tiberi, G. (2023). Breast Cancer Detection using Machine Learning Approaches on Microwave-based Data. EUCAP 23. Florence, Italy 26 - 31 Mar 2023
Radar-based Imaging through StrokeWave Device: Preliminary Experimental Results
Ghavami, N., Ghavami, M. and Tiberi, G. (2023). Radar-based Imaging through StrokeWave Device: Preliminary Experimental Results. EUCAP 23. Florence, Italy 26 - 31 Mar 2023
An Approach to Detect Chronic Obstructive Pulmonary Disease Using UWB Radar-Based Temporal and Spectral Features
Siddiqui, H., Ali Raza, Saleem, A., Rustam, F., Isabel De la Torre, Daniel Gavilanes Aray, Vivian Lipari, Ashraf, I. and Dudley-Mcevoy, S. (2023). An Approach to Detect Chronic Obstructive Pulmonary Disease Using UWB Radar-Based Temporal and Spectral Features. Diagnostics. 13 (6), p. 1096. https://doi.org/10.3390/diagnostics13061096
Data Driven Machine Learning Model for Condition Monitoring and Anomaly Detection in Power Grids
Saleem, K., Alkan, B. and Dudley-Mcevoy, S. (2023). Data Driven Machine Learning Model for Condition Monitoring and Anomaly Detection in Power Grids. 2023 IEEE Power & Energy Society General Meeting. Orlando, Florida, US 10 - 16 Jul 2023 Institute of Electrical and Electronics Engineers (IEEE).
Radiation-free Microwave Technology for Breast Lesion Detection using Supervised Machine Learning Model
Rana, S., Dey, M., Loretoni, R., Duranti, M., Ghavami, M., Dudley-Mcevoy, S. and Tiberi, G. (2023). Radiation-free Microwave Technology for Breast Lesion Detection using Supervised Machine Learning Model. Tomography. 9 (1), pp. 105-129. https://doi.org/10.3390/tomography9010010
Respiration Based Non-Invasive Approach for Emotion Recognition Using Impulse Radio Ultra Wide Band Radar and Machine Learning
Siddiqui, H., Shahzad, H., Saleem, A., Khan Khakwani, Abdul Baqi, Rustam, F., Lee, E., Ashraf, I. and Dudley-Mcevoy, S. (2021). Respiration Based Non-Invasive Approach for Emotion Recognition Using Impulse Radio Ultra Wide Band Radar and Machine Learning. Sensors. 21 (24), p. e8336. https://doi.org/10.3390/s21248336
A systematic review of physiological signals based driver drowsiness detection systems.
Saleem, A.., Siddiqui, H.U.R., Raza, M.A., Rustam, F., Dudley-Mcevoy, S. and Ashraf, I. (2022). A systematic review of physiological signals based driver drowsiness detection systems. Cognitive neurodynamics. 17 (5), pp. 1229-1259. https://doi.org/10.1007/s11571-022-09898-9
Microgrid Cyberphysical Systems ; Chapter 5 - Control of PV and EV connected smart grid
Ali, Z., Saleem, K., Putrus, G., Marzband, M. and Dudley-Mcevoy, S. (2022). Microgrid Cyberphysical Systems ; Chapter 5 - Control of PV and EV connected smart grid. in: Subudhi, B. (ed.) Elsevier Renewable Energy and Plug-In Vehicle Integration Elsevier Renewable Energy and Plug-In Vehicle Integration.
Detecting Power Grid Frequency Events from μPMU Voltage Phasor Data Using Machine Learning
Dey, M., Rana, S., Wylie, J., Simmons, C. V. and Dudley-Mcevoy, S. (2022). Detecting Power Grid Frequency Events from μPMU Voltage Phasor Data Using Machine Learning. The IET 11th International Conference on Renewable Power Generation. IET London: Savoy Place. 22 - 23 Sep 2022 Institute of Engineering and Technology (IET).
Automatic User Preferences Selection of Smart Hearing Aid Using BioAid
Siddiqui, H., Saleem, A., Raza, M., Kainat Zafar, Riccardo Russo and Dudley-Mcevoy, S. (2022). Automatic User Preferences Selection of Smart Hearing Aid Using BioAid. Sensors. 22 (20), p. 8031. https://doi.org/10.3390/s22208031
3D Huygens Principle based Microwave Imaging through MammoWave Device: Validation through Phantoms.
Khalid, B., Khalesi, B., Ghavami, N., Sani, L., Vispa, A., Madia, M., Dudley-Mcevoy, S., Ghavami, M. and Tiberi, G. (2022). 3D Huygens Principle based Microwave Imaging through MammoWave Device: Validation through Phantoms. IEEE Access. Volume (10), pp. 106770 - 106780. https://doi.org/10.1109/ACCESS.2022.3211957
Respiration-Based COPD Detection Using UWB Radar Incorporation with Machine Learning
Siddiqui, H., Saleem, A., Imran B., Kainat Z., Rustam, F., De la Torre, I., Dudley-Mcevoy, S. and Ashraf, I. (2022). Respiration-Based COPD Detection Using UWB Radar Incorporation with Machine Learning. Electronics. 11 (18), p. 2875. https://doi.org/10.3390/electronics11182875
A Microwave Imaging Procedure for Lung Lesion Detection: Preliminary Results on Multilayer Phantoms
Khalid, B., Khalesi, B., Ghavami, M., Ghavami, N. and Tiberi, G. (2022). A Microwave Imaging Procedure for Lung Lesion Detection: Preliminary Results on Multilayer Phantoms. Electronics (Switzerland). 11 (13), p. 2105. https://doi.org/10.3390/electronics11132105
Automated breast lesion localisation in microwave imaging employing simplified pulse coupled neural network
Dey, M., Rana, S., Loretoni, R., Duranti, M., Sani, L., Vispa, A., Raspa, G., Ghavami, M., Dudley-Mcevoy, S. and Tiberi, G. (2022). Automated breast lesion localisation in microwave imaging employing simplified pulse coupled neural network. PLoS ONE. https://doi.org/10.1371/journal.pone.0271377
Ultra-Wideband (UWB) Systems in Biomedical Sensing
Tiberi, G. and Ghavami, M. (2022). Ultra-Wideband (UWB) Systems in Biomedical Sensing. Sensors. 22 (12), p. 4403. https://doi.org/10.3390/s22124403
Performance Analysis and Benchmarking of PLL-Driven Phasor Measurement Units for Renewable Energy Systems
Ali, Z., Saleem, K., Brown, R., Christofides, N. and Dudley-Mcevoy, S. (2022). Performance Analysis and Benchmarking of PLL-Driven Phasor Measurement Units for Renewable Energy Systems. Energies. 15 (5), p. e1867. https://doi.org/10.3390/en15051867
MammoWave Breast Imaging Device: Path to Clinical Validation, Results and Implications in Future Population-based Breast Screening Programs
Tiberi, G., Ghavami, N., Sanchez-Bayuela, D., Sani, L., Vispa, A., Bigotti, A., Badia, M., Papini, L., Raspa, G., Castellano, C.R., Hernandez, L.M.C., Bernardi, D., Tagliafico, A., Calabrese, M. and Ghavami, M. (2022). MammoWave Breast Imaging Device: Path to Clinical Validation, Results and Implications in Future Population-based Breast Screening Programs. EuCAP 2022. Madrid, Spain 27 Mar - 01 Apr 2022 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.23919/eucap53622.2022.9769530
Markerless Gait Classification Employing 3D IR-UWB Physiological Motion Sensing
Rana, S., Dey, M., Ghavami, M. and Dudley-Mcevoy, S. (2022). Markerless Gait Classification Employing 3D IR-UWB Physiological Motion Sensing. IEEE Sensors Journal. 22 (7), pp. 6931-6941. https://doi.org/10.1109/JSEN.2022.3154092
Improving Indoor Localization Using Mobile UWB Sensor and Deep Neural Networks
Nosrati, L., Fazel, M. S. and Ghavami, M. (2022). Improving Indoor Localization Using Mobile UWB Sensor and Deep Neural Networks. IEEE Access. https://doi.org/10.1109/ACCESS.2022.3151436
An Analytically Based Approach for Evaluating the Impact of the Noise on the Microwave Imaging Detection
Sohani, Behnaz, Abdallah, Adam Degaichia, Tiberi, Gianluigi, Ghavami, Navid, Ghavami, Mohammad and Dudley, Sandra (2021). An Analytically Based Approach for Evaluating the Impact of the Noise on the Microwave Imaging Detection. 2021 Photonics &amp; Electromagnetics Research Symposium (PIERS). https://doi.org/10.1109/piers53385.2021.9695034
Radial Basis Function for Breast Lesion Detection from MammoWave Clinical Data
Rana, S., Dey, M., Riccardo Loretoni, Michele Duranti, Lorenzo Sani, Alessandro Vispa, Ghavami, M., Sandra Dudley and Gianluigi Tiberi (2021). Radial Basis Function for Breast Lesion Detection from MammoWave Clinical Data. Diagnostics. 11 (10). https://doi.org/10.3390/diagnostics11101930
A Novel Approach to Railway Track Faults Detection Using Acoustic Analysis.
Shafique, R., Siddiqui, H., Rustam, F., Ullah, S., Siddique, Muhammad Abubakar, Lee, E., Ashraf, I. and Dudley-Mcevoy, S. (2021). A Novel Approach to Railway Track Faults Detection Using Acoustic Analysis. Sensors. 21 (18). https://doi.org/s21186221
Solar farm voltage anomaly detection using high-resolution μ PMU data-driven unsupervised machine learning
Dey, M., Rana, S., Simmons, Clarke V. and Dudley-Mcevoy, S. (2021). Solar farm voltage anomaly detection using high-resolution μ PMU data-driven unsupervised machine learning. Applied Energy. 303, p. 117656. https://doi.org/10.1016/j.apenergy.2021.117656
3D Microwave Imaging Using Huygens Principle: A Phantom-based Validation
Khalid, B., Khalesi, B., Ghavami, N., Tiberi, G., Dudley-Mcevoy, S. and Ghavami, M. (2021). 3D Microwave Imaging Using Huygens Principle: A Phantom-based Validation. Progress In Electromagnetics Research Symposium (PIERS 2021). Hangzhu 21 - 25 Nov 2021 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/PIERS53385.2021.9695090
MammoWave Breast Imaging Device: A Procedure for Device’s Characterization Via Phantom Measurements and Subsequent Clinical Trials’ Preliminary Results
Sani, L., Vispa, A., Ghavami, N., Álvarez Sánchez-Bayuela, D., Badia, M., Bigotti, A., Raspa, G., Castellano, C.R., Ghavami, M. and Tiberi, G. (2021). MammoWave Breast Imaging Device: A Procedure for Device’s Characterization Via Phantom Measurements and Subsequent Clinical Trials’ Preliminary Results. 2021 IEEE Conference on Antenna Measurements & Applications (CAMA) . Antibes Juan-les-Pins, France 15 - 17 Nov 2021 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/CAMA49227.2021.9703532
Microwave Imaging for Lung Covid-19 Infection Detection through Huygens Principle
Ghavami, M., Khalesi, B., Khalid, B., Ghavami, N., Dudley-Mcevoy, S. and Tiberi, G. (2021). Microwave Imaging for Lung Covid-19 Infection Detection through Huygens Principle. Progress In Electromagnetics Research Symposium (PIERS 2021). Hangzhu 21 - 25 Nov 2021
Automated breast lesion localisation in microwave imaging employing simplified pulse coupled neural network
Dey, M., Rana, S., Loretoni, R., Duranti, M., Sani, L., Vispa, A., Raspa, G., Ghavami, M., Dudley-Mcevoy, S. and Tiberi, G. (2021). Automated breast lesion localisation in microwave imaging employing simplified pulse coupled neural network. London South Bank University. https://doi.org/10.18744/lsbu.8xz49
Automated terminal unit performance analysis employing x-RBF neural network and associated energy optimisation – A case study based approach
Dey, M., Rana, S. and Dudley-Mcevoy, S. (2021). Automated terminal unit performance analysis employing x-RBF neural network and associated energy optimisation – A case study based approach. Applied Energy. 298, p. 117103. https://doi.org/10.1016/j.apenergy.2021.117103
Non-Invasive Driver Drowsiness Detection System.
Siddiqui, H., Saleem, A., Brown, R., Bademci, B., Lee, E., Rustam, F. and Dudley-Mcevoy, S. (2021). Non-Invasive Driver Drowsiness Detection System. Sensors. 21 (14). https://doi.org/10.3390/s21144833
Breast lesion detection through MammoWave device: Empirical detection capability assessment of microwave images' parameters.
Sani, L., Vispa, A., Loretoni, R., Duranti, M., Ghavami, N., Alvarez Sánchez-Bayuela, D., Caschera, S., Paoli, M., Bigotti, A., Badia, M., Scorsipa, M., Raspa, G., Ghavami, M. and Tiberi, G. (2021). Breast lesion detection through MammoWave device: Empirical detection capability assessment of microwave images' parameters. PLoS ONE. 16 (4), p. e0250005. https://doi.org/10.1371/journal.pone.0250005
3D Gait Abnormality Detection Employing Contactless IR-UWB Sensing Phenomenon
Rana, S., Dey, M., Ghavami, M. and Dudley-McEvoy, S. (2021). 3D Gait Abnormality Detection Employing Contactless IR-UWB Sensing Phenomenon. IEEE Transactions on Instrumentation and Measurement. 70. https://doi.org/10.1109/TIM.2021.3069044
Developing Artefact Removal Algorithms to Process Data from a Microwave Imaging Device for Haemorrhagic Stroke Detection
Sohani, B., Puttock, J., Khalesi, B., Ghavami, N., Ghavami, M., Sandra Dudley and Gianluigi Tiberi (2020). Developing Artefact Removal Algorithms to Process Data from a Microwave Imaging Device for Haemorrhagic Stroke Detection. Sensors. 20 (19), p. e5545. https://doi.org/10.3390/s20195545
Empirical Assessment of Breast Lesion Detection Capability Through an Innovative Microwave Imaging Device
Sani, L., Vispa, A., Ghavami, N., Ghavami, M. and Tiberi, G. (2020). Empirical Assessment of Breast Lesion Detection Capability Through an Innovative Microwave Imaging Device. European Conference on Antennas and Propagation. Düsseldorf , Germany 22 - 26 Mar 2021 The European Association on Antennas and Propagation . https://doi.org/10.23919/EuCAP51087.2021.9411432
A Fingerprint Technique for Indoor Localization using Autoencoder based Semi-supervised Deep Extreme Learning Machine
Khatab, Z. E., Gazestani, A.H., Ghorashi, S. and Ghavami, M. (2020). A Fingerprint Technique for Indoor Localization using Autoencoder based Semi-supervised Deep Extreme Learning Machine. Signal Processing. 181, p. 107915. https://doi.org/10.1016/j.sigpro.2020.107915
Single- and Multi-Distribution Dimensionality Reduction Approaches for a Better Data Structure Capturing
Hajderanj, L., Chen, D., Grisan, E. and Dudley-McEvoy, S (2020). Single- and Multi-Distribution Dimensionality Reduction Approaches for a Better Data Structure Capturing. IEEE Access. 8, pp. 207141 - 207155. https://doi.org/10.1109/ACCESS.2020.3038460
Breast lesion detection through MammoWave device: microwave images’ parameters
Tiberi, G., Sani, Lorenzo, Vispa, Alessandro, Loretoni, Riccardo, Duranti, Michele, Ghavami, N., Alvarez Sanchez-Bayuela, Daniel, Paoli, Martina, Bigotti, Alessandra, Badia, Mario, Scorsipa, Michele, Raspa, Giovanni, Ghavami, M. and Caschera, Stefano (2020). Breast lesion detection through MammoWave device: microwave images’ parameters. London South Bank University. https://doi.org/10.18744/lsbu.8qzyx
Free space operating microwave imaging device for bone lesion detection: a phantom investigation
Khalesi, B., Sohani, B., Ghavami, N., Dudley-McEvoy, S., Ghavami, M. and Tiberi, G. (2020). Free space operating microwave imaging device for bone lesion detection: a phantom investigation. IEEE Antennas and Wireless Propagation Letters. https://doi.org/10.1109/LAWP.2020.3034039
Wave energy in the UK: Current scope, challenges andprognostications
Memon, S., Lawal, O.M., Tariq, S.A. and Khalid, B. (2020). Wave energy in the UK: Current scope, challenges andprognostications. International Journal of Solar Thermal Vacuum Engineering. 2 (1), pp. 59-78. https://doi.org/10.37934/stve.2.1.5978
UWB Microwave Imaging for Inclusions Detection: Methodology for Comparing Artefact Removal Algorithms
Puttock, J, Sohani, B, Khalesi, B, Tiberi, G, Dudley-McEvoy, S and Ghavami, M (2020). UWB Microwave Imaging for Inclusions Detection: Methodology for Comparing Artefact Removal Algorithms. EAI BODYNETS 2020. Online 21 - 22 Oct 2020
An Experimentally Validated Smart Card UHF Tag Antenna ForFree Space and Near Body Scenarios
Riaz, M., Ghavami, M. and Dudley-McEvoy, S. (2020). An Experimentally Validated Smart Card UHF Tag Antenna ForFree Space and Near Body Scenarios. IET Microwaves, Antennas and Propagation. 14 (13), pp. 1599-1609. https://doi.org/10.1049/iet-map.2019.0603
A Non-Invasive Bone Fracture Monitoring Analysis using an UHF Antenna
Riaz, M, Tiberi, G, Asani, H, Ghavami, M and Dudley-McEvoy, S (2020). A Non-Invasive Bone Fracture Monitoring Analysis using an UHF Antenna. IEEE/IET International Symposium on Communication Systems, Networks and Digital Signal Processing. Porto 20 - 22 Jul 2020 Institute of Electrical and Electronics Engineers (IEEE).
A Case Study Based Approach for Remote Fault Detection Using Multi-Level Machine Learning in A Smart Building
Dey, M, Rana, SP and Dudley, S (2020). A Case Study Based Approach for Remote Fault Detection Using Multi-Level Machine Learning in A Smart Building. Smart Cities. 3 (2), pp. 401-419. https://doi.org/10.3390/smartcities3020021
Detection of haemorrhagic stroke in simulation and realistic 3-D human head phantom using microwave imaging
Sohani, B., Khalesi, B., Ghavami, N., Ghavami, M., Dudley, S., Rahmani, A. and Tiberi, G. (2020). Detection of haemorrhagic stroke in simulation and realistic 3-D human head phantom using microwave imaging. Biomedical Signal Processing and Control. 61, p. 102001. https://doi.org/10.1016/j.bspc.2020.102001
A Phantom Investigation to Quantify Huygens Principle Based Microwave Imaging for Bone Lesion Detection
Banafsheh Khalesi, Sohani, B., Navid Ghavami, Ghavami, M., Sandra Dudley and Gianluigi Tiberi (2019). A Phantom Investigation to Quantify Huygens Principle Based Microwave Imaging for Bone Lesion Detection. Electronics. 8 (12), p. 1505. https://doi.org/10.3390/electronics8121505
A novel motion-model-free UWB short-range positioning method
Ayoobi, N., Ghavami, M. and Rabiei, A.M. (2019). A novel motion-model-free UWB short-range positioning method. Signal, Image and Video Processing. pp. 1-6. https://doi.org/10.1007/s11760-019-01613-2
New Reconstructed Database for Cost Reduction in Indoor Fingerprinting Localization
Moghtadaiee, V., Ghorashi, S.A. and Ghavami, M. (2019). New Reconstructed Database for Cost Reduction in Indoor Fingerprinting Localization. IEEE Access. 7, pp. 104462-104477. https://doi.org/10.1109/ACCESS.2019.2932024
Signature Inspired Home Environments Monitoring System Using IR-UWB Technology
Rana, S., Dey, M., Ghavami, M. and Dudley-Mcevoy, S. (2019). Signature Inspired Home Environments Monitoring System Using IR-UWB Technology. Sensors. 19 (2), p. 385. https://doi.org/10.3390/s19020385
UWB orthogonal pulse design using Sturm–Liouville boundary value problem
Amini, A., Mohajerin Esfahani, P., Ghavami, M. and Marvasti, F. (2019). UWB orthogonal pulse design using Sturm–Liouville boundary value problem. Signal Processing. 159 (2019), pp. 147-158. https://doi.org/10.1016/j.sigpro.2019.02.008
A new design for cubic spatially processed wideband arrays
Ghavami, M. (2019). A new design for cubic spatially processed wideband arrays. Multidimensional Systems and Signal Processing. https://doi.org/10.1007/s11045-019-00635-w
UWB Device for Microwave Imaging: Validation through Phantoms
Ghavami, M, Vispa, A, Sani, L, Paoli, M, Bigotti, A, Raspa, G, Ghavami, N and Tiberi, G (2019). UWB Device for Microwave Imaging: Validation through Phantoms. 13th European Conference on Antennas and Propagation. Krakow, Poland 31 Mar - 05 Apr 2019
Novel microwave apparatus for breast lesions detection: Preliminary clinical results
Sani, L., Ghavami, N., Vispa, A., Paoli, M., Raspa, G., Ghavami, M., Sacchetti, F., Vannini, E., Ercolani, S., Saracini, A., Duranti, M. and Tiberi, G. (2019). Novel microwave apparatus for breast lesions detection: Preliminary clinical results. Biomedical Signal Processing and Control. 52, pp. 257-263. https://doi.org/10.1016/j.bspc.2019.04.025
Evaluation of Receiver Operating Characteristic Curves in a Microwave Apparatus for Breast Lesions Detection
Tiberi, G, Sani, L, Vispa, A, Paoli, M, Bigotti, A, Saracini, A, Ghavami, N, Ghavami, M, Raspa, G and Duranti, M (2019). Evaluation of Receiver Operating Characteristic Curves in a Microwave Apparatus for Breast Lesions Detection. PhotonIcs & Electromagnetics Research Symposium. Rome, Italy 17 - 20 Jun 2019
Phase-weighted UWB Imaging through Huygens Principle
Tiberi, G, Khalesi, B, Sohani, B, Ghavami, N, Dudley, S and Ghavami, M (2019). Phase-weighted UWB Imaging through Huygens Principle. PhotonIcs & Electromagnetics Research Symposium. Rome, Italy 17 - 20 Jun 2019
Microwave imaging for stroke detection: validation on head-mimicking phantom
Sohani, B, Tiberi, G, Ghavami, N, Ghavami, M, Dudley, S and Rahimi, A (2019). Microwave imaging for stroke detection: validation on head-mimicking phantom. PIERS (hotonIcs & Electromagnetics Research Symposium). Rome, Italy 17 - 20 Jun 2019
Non-Contact Human Gait Identification through IR-UWB Edge Based Monitoring Sensor
Rana, S., Dey, M, Ghavami, M and Dudley-McEvoy, S (2019). Non-Contact Human Gait Identification through IR-UWB Edge Based Monitoring Sensor. IEEE Sensors Journal. https://doi.org/10.1109/JSEN.2019.2926238
Out-of-Band Power Suppression for Cyclic SLM with Delayed Correlation and Matched Filter
Pamungkasari, P, Juwono, F, Hayati, N and Ghavami, M (2019). Out-of-Band Power Suppression for Cyclic SLM with Delayed Correlation and Matched Filter. International Conference on Smart Computing & Communications. Miri, Sarawak, Malaysia 28 - 30 Jun 2019
Machine Learning Approaches for Automated Lesion Detection in Microwave Breast Imaging Clinical Data
Rana, S., Dey, M., Tiberi, G., Sani, L., Vispa, A., Raspa, G., Duranti, M., Ghavami, M. and Dudley-Mcevoy, S. (2019). Machine Learning Approaches for Automated Lesion Detection in Microwave Breast Imaging Clinical Data. Scientific Reports. 9, p. 10510. https://doi.org/10.1038/s41598-019-46974-3
ITERATOR: A 3D Gait Identification from IR-UWB Technology
Rana, S., Dey, M, Ghavami, M and Dudley, S (2019). ITERATOR: A 3D Gait Identification from IR-UWB Technology. International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (EMBC 2019). Berlin, Germany 23 - 27 Jul 2019
UWB device for breast microwave imaging: phantom and clinical validations
Vispa, A., Sani, L., Paoli, M., Bigotti, A., Raspa, G., Ghavami, N., Caschera, S., Ghavami, M., Duranti, M. and Tiberi, G. (2019). UWB device for breast microwave imaging: phantom and clinical validations. Measurement: Journal of the International Measurement Confederation. 146, pp. 582-589. https://doi.org/10.1016/j.measurement.2019.05.109
A Novel Design of UHF RFID Passive Tag Antenna Targeting Smart Cards Limited Area
Riaz, M, Rymar, G, Ghavami, M and Dudley, S (2018). A Novel Design of UHF RFID Passive Tag Antenna Targeting Smart Cards Limited Area. 36th IEEE International Conference on Consumer Electronics (ICCE). Las Vegas, USA 12 - 14 Jan 2018 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ICCE.2018.8326224
Smart Building Creation in Large Scale HVAC Environments through Automated Fault Detection and Diagnosis
Dudley, S, Dey, M and Rana, S. (2018). Smart Building Creation in Large Scale HVAC Environments through Automated Fault Detection and Diagnosis. Future Generation Computer Systems. 108, pp. 950-966. https://doi.org/10.1016/j.future.2018.02.019
Remote Vital Sign Recognition Through Machine Learning Augmented UWB
Dudley, S, Rana, S., Dey, M, Brown, R and Siddiqui, H (2018). Remote Vital Sign Recognition Through Machine Learning Augmented UWB. European Conference on Antennas and Propagation. Excel London, Docklands 09 - 13 Apr 2018 London South Bank University. https://doi.org/10.1049/cp.2018.0978
Skin Cancer Detection through Microwaves: Validation on Phantom Measurements
Ghavami, M, Ghavami, N, Khalesi, B, Tiberi, G and Dudley, S (2018). Skin Cancer Detection through Microwaves: Validation on Phantom Measurements. IEEE International Conference on Imaging Systems and Techniques (IST 2018). Krakow, Poland 16 - 18 Oct 2018 https://doi.org/10.1109/IST.2018.8577109
A Self Regulating and Crowdsourced Indoor Positioning System through Wi-Fi Fingerprinting for Multi Storey Building
Rana, S., Dey, M and Dudley, S (2018). A Self Regulating and Crowdsourced Indoor Positioning System through Wi-Fi Fingerprinting for Multi Storey Building. Sensors. 18 (11), pp. 1-15. https://doi.org/10.3390/s18113766
Semi-Supervised Learning Techniques for Automated Fault Detection and Diagnosis of HVAC System
Dudley, S, Dey, M and Rana, S. (2018). Semi-Supervised Learning Techniques for Automated Fault Detection and Diagnosis of HVAC System. IEEE International Conference on Tools with Artificial Intelligence (ICTAI-2018). Volos, Greece 05 - 07 Nov 2018
Automated Peripheral Neuropathy Assessment using Optical Imaging and Foot Anthropometry
Dudley, S, Siddiqui, H, Alty, SR and Spruce, M (2015). Automated Peripheral Neuropathy Assessment using Optical Imaging and Foot Anthropometry. IEEE Transactions on Biomedical Engineering. 62 (8), pp. 1911-1917. https://doi.org/10.1109/TBME.2015.2407056
Automated Semmes Weinstein monofilament examination replication using optical imaging and mechanical probe assembly
Dudley, S, Siddiqui, H, Alty, SR and Spruce, M (2015). Automated Semmes Weinstein monofilament examination replication using optical imaging and mechanical probe assembly. 12th International Symposium on Biomedical Imaging (ISBI). Brooklyn, USA 16 - 19 Apr 2015 London South Bank University. https://doi.org/10.1109/ISBI.2015.7163933
Simulation study on the impact of the transmission power on the performance of routing protocols under different mobility models
Macintosh, A, FeiSiyau, M and Ghavami, M (2014). Simulation study on the impact of the transmission power on the performance of routing protocols under different mobility models. Fourth edition of the International Conference on the Innovative Computing Technology. London 13 - 15 Aug 2014 London South Bank University. pp. 185 - 190 https://doi.org/10.1109/INTECH.2014.6927758
Experimental vital signs estimation using commercially available IR-UWB radar
Adjrad, M, Dudley, S and Ghavami, M (2014). Experimental vital signs estimation using commercially available IR-UWB radar. Radar Conference. Lille 13 - 17 Oct 2014 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/RADAR.2014.7060328
On the filtering of photoplethysmography signals
Awodeyi, AE, Alty, SR and Ghavami, M (2014). On the filtering of photoplethysmography signals. 2014 IEEE International Conference on Bioinformatics and Bioengineering. Florida, USA. 10 - 12 Nov 2014 Institute of Electrical and Electronics Engineers (IEEE). pp. 175 - 178 https://doi.org/10.1109/BIBE.2014.76
Median based method for baseline wander removal in photoplethysmogram signals
Awodeyi, AE, Alty, SR and Ghavami, M (2014). Median based method for baseline wander removal in photoplethysmogram signals. Bioinformatics and Bioengineering (BIBE), 2014 IEEE International Conference on. Florida, USA. 10 - 12 Nov 2014 Institute of Electrical and Electronics Engineers (IEEE). pp. 311 - 314 https://doi.org/10.1109/BIBE.2014.77
Human Behaviour Model Combining Multiple Sensors
Liao, Z, Buchanan, K, Ghavami, N, Vastardis, N, Adjrad, M, Koch, C, Ghavami, M, Anderson, B, Yang, K, Russo, R and Dudley, S (2015). Human Behaviour Model Combining Multiple Sensors. Conference of the eceee 2015 Summer Study on energy efficiency. Presqu’île de Giens Toulon/Hyères, France 01 - 06 Jun 2015 London South Bank University.
A new approach for event detection using k-means clustering and neural networks.
Oladimeji, MO, Turkey, M, Ghavami, M and Dudley, S (2015). A new approach for event detection using k-means clustering and neural networks. 2015 International Joint Conference on Neural Networks (IJCNN). Killarney Institute of Electrical and Electronics Engineers (IEEE). pp. 1 - 5 https://doi.org/10.1109/IJCNN.2015.7280752
A PID inspired feature extraction method for HVAC terminal units
Dey, M., Gupta, M., Rana, S., Turkey, M. and Dudley-Mcevoy, S. (2017). A PID inspired feature extraction method for HVAC terminal units. IEEE Conference on Technologies for Sustainability (SusTech 2017). Phoenix, Arizona, USA 12 - 14 Nov 2017 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/sustech.2017.8333470
Occupancy based household energy disaggregation using ultra wideband radar and electrical signature profiles
Brown, R., Ghavami, N., Siddiqui, H., Adjrad, M., Ghavami, M. and Dudley-Mcevoy, S. (2017). Occupancy based household energy disaggregation using ultra wideband radar and electrical signature profiles. Energy and Buildings. 141, pp. 134-141. https://doi.org/10.1016/j.enbuild.2017.02.004
HACH: Heuristic Algorithm for Clustering Hierarchy Protocol in Wireless Sensor Network
Dudley, S, Turkey, M and Oladimeji, M. (2017). HACH: Heuristic Algorithm for Clustering Hierarchy Protocol in Wireless Sensor Network. Applied Soft Computing. 55, pp. 452-461. https://doi.org/10.1016/j.asoc.2017.02.016
Experimental Validation of a Thirteen Level H-Bridge Photovoltaic Inverter Configuration
Dudley, S, Loukriz, A and Quinlan, T (2017). Experimental Validation of a Thirteen Level H-Bridge Photovoltaic Inverter Configuration. IEEE EEEIC17 and I&CPS Europe. Milan, Italy 06 - 09 Jun 2017 Institute of Electrical and Electronics Engineers (IEEE).
Equity Risk Premiums and Risk Free Rates in Modelling and Prediction of Financial Markets
Ghavami, M and Shams Dilmaghani, R (2017). Equity Risk Premiums and Risk Free Rates in Modelling and Prediction of Financial Markets. International Conference on Mathematical Finance, Statistics and Economics. Vienna, Austria 21 - 22 Jun 2017
Unsupervised Learning Techniques for HVAC Terminal Unit Behaviour Analysis
Dey, M, Gupta, M, Turkey, M and Dudley, S (2017). Unsupervised Learning Techniques for HVAC Terminal Unit Behaviour Analysis. IEEE International Conference on Smart City Innovations. Fremont, California, USA 04 - 08 Aug 2017 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/UIC-ATC.2017.8397584
A Spatially Processed 3D Wideband Adaptive Conical Array System
Ghavami, M (2017). A Spatially Processed 3D Wideband Adaptive Conical Array System. IEEE International Conference on Ubiquitous Wireless Broadband ICUWB’2017. Salamanca, Spain 12 - 15 Sep 2017 Institute of Electrical and Electronics Engineers (IEEE).
UWB Localization Employing Supervised Learning Method
Rana, S., Dey, M., Siddiqui, H., Tiberi, G., Ghavami, M. and Dudley, S (2017). UWB Localization Employing Supervised Learning Method. IEEE International Conference on Ubiquitous Wireless Broadband 2017. Salamanca, Spain 12 - 15 Sep 2017 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ICUWB.2017.8250971
A PID Inspired Feature Extraction for HVAC Terminal Units
Dey, M, Gupta, M, Rana, S., Turkey, M and Dudley, S (2017). A PID Inspired Feature Extraction for HVAC Terminal Units. IEEE Conference on Technologies for Sustainability (SusTech 2017). Phoenix, Arizona, USA 12 - 14 Nov 2017 Institute of Electrical and Electronics Engineers (IEEE).
UWB power propagation for bio-medical implanted devices
Ghafari, M, Brennan, P and Ghavami, M (2015). UWB power propagation for bio-medical implanted devices. 17th International Conference on E-health Networking, Application & Services (HealthCom). Boston, MA, USA 14 - 17 Oct 2015 London South Bank University. pp. 483 - 487 https://doi.org/10.1109/HealthCom.2015.7454551
Adaptive robust video broadcast via satellite
Altaf, M, Khan, FA, Khan, N, Ghanbari, M and Dudley, S (2016). Adaptive robust video broadcast via satellite. Multimedia Tools and Applications. 76 (6), pp. 7785-7801. https://doi.org/10.1007/s11042-016-3426-y
Experimental Realization of a Single-Phase Five Level Inverter for PV Applications
Loukriz, A, Dudley, S, Quinlan, T and Walker, S (2016). Experimental Realization of a Single-Phase Five Level Inverter for PV Applications. IEEE Workshop on Control and Modeling for Power Electronics (COMPEL) 2016. Trondheim, Norway 27 - 30 Jun 2016 Institute of Electrical and Electronics Engineers (IEEE).
Huygens Principle based UWB Microwave Imaging Method for Skin Cancer Detection
Ghavami, N, Tiberi, G, Ghavami, M, Dudley, S and Lane, ME (2016). Huygens Principle based UWB Microwave Imaging Method for Skin Cancer Detection. 10th IEEE/IET International Symposium on Communication Systems, Networks and Digital Signal Processing. Prague, Czech Republic 20 - 22 Jul 2016 Institute of Electrical and Electronics Engineers (IEEE).
Iterated Local Search Algorithm for Clustering Wireless Sensor Networks.
Dudley, S, Oladimeji, MO and Turkey, M (2016). Iterated Local Search Algorithm for Clustering Wireless Sensor Networks. 2016 IEEE Congress on Evolutionary Computation (CEC). Vancouver, Canada 24 - 29 Jul 2016 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/CEC.2016.7744200
Development of a Wall Climbing Robotic Ground Penetrating Radar System for Inspection of Vertical Concrete Structures
Sattar, TP, Howlader, MOF and Dudley, S (2016). Development of a Wall Climbing Robotic Ground Penetrating Radar System for Inspection of Vertical Concrete Structures. International Journal of Mechanical, Aerospace, Industrial, Mechatronic and Manufacturing Engineering. 10 (8), pp. 1346-1352.
A heuristic crossover enhanced evolutionary algorithm for clustering wireless sensor network
Oladimeji, MO, Turkey, M and Dudley, S (2016). A heuristic crossover enhanced evolutionary algorithm for clustering wireless sensor network. EvoApplications Evostar 2016. Porto, Portugal 30 Mar - 01 Apr 2016 https://doi.org/10.1007/978-3-319-31204-0_17
Improving time–frequency domain sleep EEG classification via singular spectrum analysis
Mahvash Mohammadi, S., Kouchaki, S., Ghavami, M. and Sanei, S. (2016). Improving time–frequency domain sleep EEG classification via singular spectrum analysis. Journal of Neuroscience Methods. 273, pp. 96-106. https://doi.org/10.1016/j.jneumeth.2016.08.008
A novel single-phase thirteen level inverter for photovoltaic application
Loukriz, A, Dudley, S, Messalti, S, Quinlan, T, Loukriz, A and Walker, S (2016). A novel single-phase thirteen level inverter for photovoltaic application. 8th International Conference on Modelling, Identification and Control (ICMIC-2016). Algiers, Algeria- November 15-17, 2016 15 - 17 Nov 2016 Institute of Electrical and Electronics Engineers (IEEE). pp. 532-537 https://doi.org/10.1109/ICMIC.2016.7804170
A semantic-enhanced trajectory visual analytics for digital forensic
Liao, Z.-F., Li, Y., Peng, Y., Zhao, Y., Zhou, F.-F., Liao, Z.-N., Dudley, S. and Ghavami, M. (2015). A semantic-enhanced trajectory visual analytics for digital forensic. Journal of Visualization. 18 (2), pp. 173 - 184. https://doi.org/10.1007/s12650-015-0276-z
Classification of awake, REM, and NREM from EEG via singular spectrum analysis
Mohammadi, SM, Enshaeifar, S, Ghavami, M and Sanei, S (2015). Classification of awake, REM, and NREM from EEG via singular spectrum analysis. International Conference of the IEEE Engineering in Medicine and Biology Society. Milan, Italy 25 - 29 Aug 2015 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/EMBC.2015.7319460
Automatic trust calculation for service-oriented systems
Ye, B., Nekovee, M., Pervez, A. and Ghavami, M. (2014). Automatic trust calculation for service-oriented systems. IET Software. 8 (3), pp. 134 - 142. https://doi.org/10.1049/iet-sen.2013.0056
Ultra-wideband-based multilateration technique for indoor localisation
Onalaja, O., Adjrad, M. and Ghavami, M. (2014). Ultra-wideband-based multilateration technique for indoor localisation. IET COMMUNICATIONS. 8 (10), pp. 1800 - 1809. https://doi.org/10.1049/iet-com.2013.0815
Study of human being detection in an indoor environment using ultra wideband radar
Hassan Khausru, MA and Ghavami, M (2014). Study of human being detection in an indoor environment using ultra wideband radar. IEEE International Conference on Ultra-Wideband 2014. Paris, France Institute of Electrical and Electronics Engineers (IEEE). pp. 113 - 118 https://doi.org/10.1109/ICUWB.2014.6958961
Signal Detection Performance of Overlapped FFT Scheme with Additional Frames Consisting of Non-continuous Samples in Indoor Environment
Uchida, S., Sato, A., Inamori, M., Sanada, Y. and Ghavami, M. (2014). Signal Detection Performance of Overlapped FFT Scheme with Additional Frames Consisting of Non-continuous Samples in Indoor Environment. Wireless Personal Communications. 79 (2), pp. 987 - 1002. https://doi.org/10.1007/s11277-014-1899-4
A user-centric system architecture for residential energy consumption reduction
Vastardis, N, Adjrad, M, Buchanan, K, Liao, Z, Koch, C, Russo, R, Yang, K, Ghavami, M, Anderson, B and Dudley, S (2014). A user-centric system architecture for residential energy consumption reduction. IEEE Online Conference on Green Communications. Online 12 - 14 Nov 2014 Institute of Electrical and Electronics Engineers (IEEE). pp. 1-7 https://doi.org/10.1109/OnlineGreenCom.2014.7114423