Abbes Amira

Orcid: 0000-0003-1144-630X

Affiliations:
  • De Montfort University, Institute of Artificial Intelligence, Leicester, UK
  • Qatar University, KINDI Center for Computing Research, Doha, Qatar (2017 - 2019)
  • University of the West of Scotland, Paisley, UK (2013 - 2018)
  • University of Ulster, UK (2010 - 2013)
  • Brunel University, London, UK (2006 - 2010)
  • Queen's University, Belfast, UK (PhD 2001)


According to our database1, Abbes Amira authored at least 278 papers between 2000 and 2025.

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Bibliography

2025
Advancing 3D point cloud understanding through deep transfer learning: A comprehensive survey.
Inf. Fusion, 2025

Image encoding and wearable sensors-based locomotion mode recognition using convolutional recurrent neural networks.
Biomed. Signal Process. Control., 2025

2024
Energy data classification at the edge: a comparative studyfor energy efficiency applications.
Clust. Comput., June, 2024

Edge AI for Internet of Energy: Challenges and perspectives.
Internet Things, April, 2024

Transfer learning from T1-weighted to T2-weighted Magnetic resonance sequences for brain image segmentation.
CAAI Trans. Intell. Technol., February, 2024

Deep learning for steganalysis of diverse data types: A review of methods, taxonomy, challenges and future directions.
Neurocomputing, 2024

Revolutionizing generative pre-traineds: Insights and challenges in deploying ChatGPT and generative chatbots for FAQs.
Expert Syst. Appl., 2024

EEG channel selection using Gramian Angular Fields and spectrograms for energy data visualization.
Eng. Appl. Artif. Intell., 2024

Federated and Transfer Learning for Cancer Detection Based on Image Analysis.
CoRR, 2024

Enhancing Plant Disease Detection: A Novel CNN-Based Approach with Tensor Subspace Learning and HOWSVD-MD.
CoRR, 2024

High-energy physics image classification: A Survey of Jet Applications.
CoRR, 2024

Unveiling Hidden Energy Anomalies: Harnessing Deep Learning to Optimize Energy Management in Sports Facilities.
CoRR, 2024

Knowledge Pre-Trained CNN-Based Tensor Subspace Learning for Tomato Leaf Diseases Detection.
IEEE Access, 2024

Uncovering the Potential of Indoor Localization: Role of Deep and Transfer Learning.
IEEE Access, 2024

Predicting Asthma Attacks Through AI-Powered Thermal Imaging Analysis of Breathing Patterns.
Proceedings of the 10th IEEE International Conference on Big Data Computing Service and Machine Learning Applications, 2024

2023
Development of a cerebral aneurysm segmentation method to prevent sentinel hemorrhage.
Netw. Model. Anal. Health Informatics Bioinform., December, 2023

Advances in Quantum Machine Learning and Deep Learning for Image Classification: A Survey.
Neurocomputing, December, 2023

Filter bubbles in recommender systems: Fact or fallacy - A systematic review.
WIREs Data. Mining. Knowl. Discov., November, 2023

Deep transfer learning for automatic speech recognition: Towards better generalization.
Knowl. Based Syst., October, 2023

Using big data and federated learning for generating energy efficiency recommendations.
Int. J. Data Sci. Anal., September, 2023

AI-big data analytics for building automation and management systems: a survey, actual challenges and future perspectives.
Artif. Intell. Rev., June, 2023

Lightweight Gramian Angular Field classification for edge internet of energy applications.
Clust. Comput., April, 2023

An innovative deep anomaly detection of building energy consumption using energy time-series images.
Eng. Appl. Artif. Intell., March, 2023

Implementation of a real-time stereo vision algorithm on a cost-effective heterogeneous multicore platform.
Concurr. Comput. Pract. Exp., January, 2023

Revolutionizing Customer Interactions: Insights and Challenges in Deploying ChatGPT and Generative Chatbots for FAQs.
CoRR, 2023

Federated Learning for Computer Vision.
CoRR, 2023

Deep Learning for Diverse Data Types Steganalysis: A Review.
CoRR, 2023

Crossing Roads of Federated Learning and Smart Grids: Overview, Challenges, and Perspectives.
CoRR, 2023

Exploring 2D Representation and Transfer Learning Techniques for People Identification in Indoor Localization.
Proceedings of the 6th International Conference on Signal Processing and Information Security, 2023

On the Sensitivity of Deep Load Disaggregation to Adversarial Attacks.
Proceedings of the 6th International Conference on Signal Processing and Information Security, 2023

An Intelligent Edge-Deployable Indoor Air Quality Monitoring and Activity Recognition Approach.
Proceedings of the 6th International Conference on Signal Processing and Information Security, 2023

Harnessing Transformers: A Leap Forward in Lung Cancer Image Detection.
Proceedings of the 6th International Conference on Signal Processing and Information Security, 2023

Smart Endotracheal Intubation: Real-Time Visual Feedback and Edge Detection for Enhanced Procedure Guidance.
Proceedings of the 6th International Conference on Signal Processing and Information Security, 2023

Transfer Learning for Cancer Detection based on Images Analysis.
Proceedings of the CENTERIS 2023 - International Conference on ENTERprise Information Systems / ProjMAN - International Conference on Project MANagement / HCist, 2023

ECG classification using Deep CNN and Gramian Angular Field.
Proceedings of the IEEE Ninth International Conference on Big Data Computing Service and Applications, 2023

2022
A hardware framework for fall detection using inertial sensors and compressed sensing.
Microprocess. Microsystems, June, 2022

Intelligent Edge-Based Recommender System for Internet of Energy Applications.
IEEE Syst. J., 2022

Using artificial intelligence and data fusion for environmental monitoring: A review and future perspectives.
Inf. Fusion, 2022

Brain MR images segmentation using 3D CNN with features recalibration mechanism for segmented CT generation.
Neurocomputing, 2022

Recent trends of smart nonintrusive load monitoring in buildings: A review, open challenges, and future directions.
Int. J. Intell. Syst., 2022

Blockchain-based recommender systems: Applications, challenges and future opportunities.
Comput. Sci. Rev., 2022

Latest trends of security and privacy in recommender systems: A comprehensive review and future perspectives.
Comput. Secur., 2022

Deep learning with multiresolution handcrafted features for brain MRI segmentation.
Artif. Intell. Medicine, 2022

Statistical Analysis of Electroencephalographic Signals in the Stimulation of Energy Data Visualizations.
Proceedings of the Intelligent Computing, 2022

A Voting Ensemble Technique for Gas Classification.
Proceedings of the Intelligent Computing, 2022

A Two-Stage Energy Anomaly Detection for Edge-based Building Internet of Things (BIoT) Applications.
Proceedings of the 5th International Conference on Signal Processing and Information Security, 2022

Neural NILM Learning Paradigms: From Centralised to Decentralised Learning.
Proceedings of the 5th International Conference on Signal Processing and Information Security, 2022

Recommendation System Towards Residential Energy Saving Based on Anomaly Detection.
Proceedings of the 5th International Conference on Signal Processing and Information Security, 2022

Creating 3D Gramian Angular Field Representations for Higher Performance Energy Data Classification.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Facilitating Deep Learning for Edge Computing: A Case Study on Data Classification.
Proceedings of the IEEE Conference on Dependable and Secure Computing, 2022

2021
A Micro-Moment System for Domestic Energy Efficiency Analysis.
IEEE Syst. J., 2021

Point-Denoise: Unsupervised outlier detection for 3D point clouds enhancement.
Multim. Tools Appl., 2021

A survey of recommender systems for energy efficiency in buildings: Principles, challenges and prospects.
Inf. Fusion, 2021

The emergence of explainability of intelligent systems: Delivering explainable and personalized recommendations for energy efficiency.
Int. J. Intell. Syst., 2021

Smart power consumption abnormality detection in buildings using micromoments and improved K-nearest neighbors.
Int. J. Intell. Syst., 2021

An intelligent nonintrusive load monitoring scheme based on 2D phase encoding of power signals.
Int. J. Intell. Syst., 2021

Incorporating patient concerns into design requirements for IoMT-based systems: The fall detection case study.
Health Informatics J., 2021

A survey on system level energy optimisation for MPSoCs in IoT and consumer electronics.
Comput. Sci. Rev., 2021

Smart non-intrusive appliance identification using a novel local power histogramming descriptor with an improved k-nearest neighbors classifier.
CoRR, 2021

An IoT-based framework for remote fall monitoring.
Biomed. Signal Process. Control., 2021

DASSI: differential architecture search for splice identification from DNA sequences.
BioData Min., 2021

Endorsing Energy Efficiency Through Accurate Appliance-Level Power Monitoring, Automation and Data Visualization.
Proceedings of the Networking, Intelligent Systems and Security, 2021

The Emergence of Hybrid Edge-Cloud Computing for Energy Efficiency in Buildings.
Proceedings of the Intelligent Systems and Applications, 2021

Detection of Appliance-Level Abnormal Energy Consumption in Buildings Using Autoencoders and Micro-moments.
Proceedings of the BDIoT'21: Proceedings of the 5th International Conference on Big Data and Internet of Things, 2021

2020
Heterogeneous System-on-Chip-Based Lattice-Boltzmann Visual Simulation System.
IEEE Syst. J., 2020

Real-time ECG monitoring using compressive sensing on a heterogeneous multicore edge-device.
Microprocess. Microsystems, 2020

MR Image-Based Attenuation Correction of Brain PET Imaging: Review of Literature on Machine Learning Approaches for Segmentation.
J. Digit. Imaging, 2020

A novel gateway-based solution for remote elderly monitoring.
J. Biomed. Informatics, 2020

Fall detection and human activity classification using wearable sensors and compressed sensing.
J. Ambient Intell. Humaniz. Comput., 2020

Data fusion strategies for energy efficiency in buildings: Overview, challenges and novel orientations.
Inf. Fusion, 2020

REHAB-C: Recommendations for Energy HABits Change.
Future Gener. Comput. Syst., 2020

Appliance-Level Monitoring with Micro-Moment Smart Plugs.
CoRR, 2020

The emergence of Explainability of Intelligent Systems: Delivering Explainable and Personalised Recommendations for Energy Efficiency.
CoRR, 2020

Anomaly detection of energy consumption in buildings: A review, current trends and new perspectives.
CoRR, 2020

Energy Data Visualizations on Smartphones for Triggering Behavioral Change: Novel Vs. Conventional.
CoRR, 2020

Improving in-home appliance identification using fuzzy-neighbors-preserving analysis based QR-decomposition.
CoRR, 2020

Building power consumption datasets: Survey, taxonomy and future directions.
CoRR, 2020

Secure compressive sensing for ECG monitoring.
Comput. Secur., 2020

A Novel Approach for Detecting Anomalous Energy Consumption Based on Micro-Moments and Deep Neural Networks.
Cogn. Comput., 2020

Lattice-Boltzmann interactive blood flow simulation pipeline.
Int. J. Comput. Assist. Radiol. Surg., 2020

An Accurate Ensemble Classifier for Medical Volume Analysis: Phantom and Clinical PET Study.
IEEE Access, 2020

Achieving Domestic Energy Efficiency Using Micro-Moments and Intelligent Recommendations.
IEEE Access, 2020

Cloud Energy Micro-Moment Data Classification: A Platform Study.
Proceedings of the 13th IEEE/ACM International Conference on Utility and Cloud Computing, 2020

Deep Learning based Segmentation for Multi MR Imaging Protocols using Transfer Learning for PET Attenuation Correction.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Real-time personalised energy saving recommendations.
Proceedings of the 2020 International Conferences on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2020

Accelerating Stereo Matching on Mutlicore ARM Platform.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

Efficient Multi-Descriptor Fusion for Non-Intrusive Appliance Recognition.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

Brain MR Imaging Segmentation Using Convolutional Auto Encoder Network for PET Attenuation Correction.
Proceedings of the Intelligent Systems and Applications, 2020

On the Applicability of 2D Local Binary Patterns for Identifying Electrical Appliances in Non-intrusive Load Monitoring.
Proceedings of the Intelligent Systems and Applications, 2020

Surface Defect Detection Using YOLO Network.
Proceedings of the Intelligent Systems and Applications, 2020

Vehicle Detection and Classification in Difficult Environmental Conditions Using Deep Learning.
Proceedings of the Intelligent Systems and Applications, 2020

Appliance identification using a histogram post-processing of 2D local binary patterns for smart grid applications.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

A model for predicting room occupancy based on motion sensor data.
Proceedings of the IEEE International Conference on Informatics, 2020

Data Analytics, Automations, and Micro-Moment Based Recommendations for Energy Efficiency.
Proceedings of the 6th IEEE International Conference on Big Data Computing Service and Applications, 2020

2019
The Role of Micro-Moments: A Survey of Habitual Behavior Change and Recommender Systems for Energy Saving.
IEEE Syst. J., 2019

An FPGA implementation of the matching pursuit algorithm for a compressed sensing enabled e-Health monitoring platform.
Microprocess. Microsystems, 2019

Special Issue: Empowering eHealth with Smart Internet of Things (IoT) Medical Devices.
J. Sens. Actuator Networks, 2019

HD number plate localization and character segmentation on the Zynq heterogeneous SoC.
J. Real Time Image Process., 2019

Evaluating Internet of Medical Things (IoMT)-Based Systems from a Human-Centric Perspective.
Internet Things, 2019

Zynq SoC based acceleration of the lattice Boltzmann method.
Concurr. Comput. Pract. Exp., 2019

Moving object tracking in clinical scenarios: application to cardiac surgery and cerebral aneurysm clipping.
Int. J. Comput. Assist. Radiol. Surg., 2019

Boosting Domestic Energy Efficiency Through Accurate Consumption Data Collection.
Proceedings of the 2019 IEEE SmartWorld, 2019

IoT-Based Fall and ECG Monitoring System: Wireless Communication System Based Firebase Realtime Database.
Proceedings of the 2019 IEEE SmartWorld, 2019

"I Want to ... Change": Micro-moment based Recommendations can Change Users' Energy Habits.
Proceedings of the 8th International Conference on Smart Cities and Green ICT Systems, 2019

Reshaping Consumption Habits by Exploiting Energy-Related Micro-moment Recommendations: A Case Study.
Proceedings of the Smart Cities, Green Technologies and Intelligent Transport Systems, 2019

3D Point Cloud Enhancement using Unsupervised Anomaly Detection.
Proceedings of the International Symposium on Systems Engineering, 2019

An IoT Reconfigurable SoC Platform for Computer Vision Applications.
Proceedings of the International Symposium on Systems Engineering, 2019

Smart Energy Usage and Visualization Based on Micro-moments.
Proceedings of the Intelligent Systems and Applications, 2019

Hemelb Acceleration and Visualization for Cerebral Aneurysms.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Leveraging Quality of Service and Cost in Cyber-Physical Systems Design.
Proceedings of the Economics of Grids, Clouds, Systems, and Services, 2019

An IoT-Based Framework for Elderly Remote Monitoring.
Proceedings of the 22nd Euromicro Conference on Digital System Design, 2019

2018
IoT Approaches for Distributed Computing.
Wirel. Commun. Mob. Comput., 2018

Compressive Sensing-Based IoT Applications: A Review.
J. Sens. Actuator Networks, 2018

Real-time automated image segmentation technique for cerebral aneurysm on reconfigurable system-on-chip.
J. Comput. Sci., 2018

Guest Editorial Special Issue on Real-Time Data Processing for Internet of Things.
IEEE Internet Things J., 2018

Optical character recognition on heterogeneous SoC for HD automatic number plate recognition system.
EURASIP J. Image Video Process., 2018

ECG Signal Reconstruction on the IoT-Gateway and Efficacy of Compressive Sensing Under Real-Time Constraints.
IEEE Access, 2018

Inequality Indexes as Sparsity Measures Applied to Ventricular Ectopic Beats Detection and its Efficient Hardware Implementation.
IEEE Access, 2018

A Hybrid Feature Selection Method for Complex Diseases SNPs.
IEEE Access, 2018

A Model-based Approach for Managing Criticality Requirements in e-Health IoT Systems.
Proceedings of the 13th Annual Conference on System of Systems Engineering, 2018

A Method Towards Cerebral Aneurysm Detection in Clinical Settings.
Proceedings of the Processing and Analysis of Biomedical Information, 2018

Compressive Sensing Based ECG Biometric System.
Proceedings of the Intelligent Systems and Applications, 2018

An Efficient Compressive Sensing Method for Connected Health Applications.
Proceedings of the Intelligent Systems and Applications, 2018

CouchDB Based Real-Time Wireless Communication System for Clinical Simulation.
Proceedings of the 20th IEEE International Conference on High Performance Computing and Communications; 16th IEEE International Conference on Smart City; 4th IEEE International Conference on Data Science and Systems, 2018

The Accuracy and Efficacy of Real-Time Compressed ECG Signal Reconstruction on a Heterogeneous Multicore Edge-Device.
Proceedings of the 21st Euromicro Conference on Digital System Design, 2018

Design and Evaluation of Vivado HLS-Based Compressive Sensing for ECG Signal Analysis.
Proceedings of the 2018 IEEE 16th Intl Conf on Dependable, 2018

2017
An Adaptive Joint Sparsity Recovery for Compressive Sensing Based EEG System.
Wirel. Commun. Mob. Comput., 2017

Electronic nose system on the Zynq SoC platform.
Microprocess. Microsystems, 2017

ECG encryption and identification based security solution on the Zynq SoC for connected health systems.
J. Parallel Distributed Comput., 2017

Content-based image retrieval with compact deep convolutional features.
Neurocomputing, 2017

Compressive sensing based electronic nose platform.
Digit. Signal Process., 2017

Matching pursuit-based compressive sensing in a wearable biomedical accelerometer fall diagnosis device.
Biomed. Signal Process. Control., 2017

Real-Time Communication Network Using Firebase Cloud IoT Platform for ECMO Simulation.
Proceedings of the 2017 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2017

IoT Based Compressive Sensing for ECG Monitoring.
Proceedings of the 2017 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2017

QRS Complexes Classification Using Dictionary Learning and Pietra Index.
Proceedings of the 2017 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2017

Managing Criticalities of e-Health IoT systems.
Proceedings of the 17th IEEE International Conference on Ubiquitous Wireless Broadband, 2017

Joint sparsity recovery for compressive sensing based EEG system.
Proceedings of the 17th IEEE International Conference on Ubiquitous Wireless Broadband, 2017

Efficient hardware implementation of the l1 - Regularized least squares for IoT edge computing.
Proceedings of the 17th IEEE International Conference on Ubiquitous Wireless Broadband, 2017

Reconfigurable self-calibrated multi-sensing RFID-based platform.
Proceedings of the 30th IEEE Canadian Conference on Electrical and Computer Engineering, 2017

2016
Text-Independent Speaker Identification Using Vowel Formants.
J. Signal Process. Syst., 2016

Improving content-based image retrieval with compact global and local multi-features.
Int. J. Multim. Inf. Retr., 2016

Multiple comparator classifier framework for accelerometer-based fall detection and diagnostic.
Appl. Soft Comput., 2016

MLP Neural Network Based Gas Classification System on Zynq SoC.
IEEE Access, 2016

EPC Gen-2 UHF RFID tags with low-power CMOS temperature sensor suitable for gas applications.
Proceedings of the 14th IEEE International New Circuits and Systems Conference, 2016

Quantification of carcinogenic odor of formaldehyde with electronic nose technologyd.
Proceedings of the IEEE International Symposium on Systems Engineering, 2016

Computationally efficient environmental monitoring with electronic nose: A potential technology for ambient assisted living.
Proceedings of the IEEE International Symposium on Systems Engineering, 2016

Design and Performance Evaluation of a Committee Machine for Gas Identification.
Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016, 2016

A Reconfigurable Connected Health Platform Using ZYNQ System on Chip.
Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016, 2016

Emotion Recognition by Physiological Signals.
Proceedings of the Human Vision and Electronic Imaging, 2016

Heterogeneous Implementation of ECG Encryption and Identification on the Zynq SoC.
Proceedings of the 24th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2016

High Level Synthesis Based E-Nose System for Gas Applications.
Proceedings of the 24th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2016

HW/SW co-design based implementation of Gas discrimination.
Proceedings of the 27th IEEE International Conference on Application-specific Systems, 2016

2015
FPGA Implementation of Orthogonal Matching Pursuit for Compressive Sensing Reconstruction.
IEEE Trans. Very Large Scale Integr. Syst., 2015

Semantic content-based image retrieval: A comprehensive study.
J. Vis. Commun. Image Represent., 2015

Speaker identification using multimodal neural networks and wavelet analysis.
IET Biom., 2015

Robust fusion of color and local descriptors for image retrieval and classification.
Proceedings of the International Conference on Systems, Signals and Image Processing, 2015

An efficient information retrieval technique for e-health systems.
Proceedings of the International Conference on Systems, Signals and Image Processing, 2015

EmotionBike: A Study of Provoking Emotions in Cycling Exergames.
Proceedings of the Entertainment Computing - ICEC 2015 - 14th International Conference, 2015

An efficient MIMO-OFDM radix-2 Single-Path Delay Feedback FFT implementation on FPGA.
Proceedings of the 2015 NASA/ESA Conference on Adaptive Hardware and Systems, 2015

ECG Security Identification System on the Zynq SoC Platform.
Proceedings of the 15th IEEE International Conference on Computer and Information Technology, 2015

2014
Memory Footprint Reduction for Power-Efficient Realization of 2-D Finite Impulse Response Filters.
IEEE Trans. Circuits Syst. I Regul. Pap., 2014

Efficient compressive sensing on the shimmer platform for fall detection.
Proceedings of the IEEE International Symposium on Circuits and Systemss, 2014

Reconfigurable computing for imaging systems.
Proceedings of the 4th International Conference on Image Processing Theory, 2014

The effectiveness of LSI-based CBIR with image noise using wavelet-based texture.
Proceedings of the 4th International Conference on Image Processing Theory, 2014

Quality of experience evaluation of H.265/MPEG-HEVC and VP9 comparison efficiency.
Proceedings of the 26th International Conference on Microelectronics, 2014

Concatenation of dictionaries for recovery of ECG signals using compressed sensing techniques.
Proceedings of the 26th International Conference on Microelectronics, 2014

Gas identification in electronic nose by using similarity measure between latency patterns.
Proceedings of the 26th International Conference on Microelectronics, 2014

An efficient user-customisable multiresolution classifier fall detection and diagnostic system.
Proceedings of the 26th International Conference on Microelectronics, 2014

A multi-sensing reconfigurable platform for gas applications.
Proceedings of the 26th International Conference on Microelectronics, 2014

A high speed configurable FPGA architecture for bilateral filtering.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

A stochastic modelling framework for the reconstruction of cardiovascular signals.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

HLS based hardware acceleration on the zynq SoC: A case study for fall detection system.
Proceedings of the 11th IEEE/ACS International Conference on Computer Systems and Applications, 2014

2013
FPGA-based IP cores implementation for face recognition using dynamic partial reconfiguration.
J. Real Time Image Process., 2013

A Reconfigurable Wireless Environment for ECG Monitoring and Encryption.
Int. J. Embed. Real Time Commun. Syst., 2013

A high speed configurable FPGA architecture for k-mean clustering.
Proceedings of the 2013 IEEE International Symposium on Circuits and Systems (ISCAS2013), 2013

A multi-scale analysis and compressive sensing based energy aware fall detection system.
Proceedings of the 8th International Design and Test Symposium, 2013

Systolic architecture for hardware implementation of two-dimensional non-separable filter-bank.
Proceedings of the 8th International Design and Test Symposium, 2013

Efficient transmission of multiview video over unreliable channels.
Proceedings of the IEEE International Conference on Image Processing, 2013

Evaluation of SVC for adaptive P2P video streaming.
Proceedings of the 20th IEEE International Conference on Electronics, 2013

Distributed arithmetic architecture of Discrete Wavelet Transform (DWT) with hybrid method.
Proceedings of the 20th IEEE International Conference on Electronics, 2013

Hardware PCA for gas identification systems using high level synthesis on the Zynq SoC.
Proceedings of the 20th IEEE International Conference on Electronics, 2013

Custom IP cores for robust data analysis and pattern recognition algorithms used in gas applications.
Proceedings of the 20th IEEE International Conference on Electronics, 2013

2012
Medical image denoising on field programmable gate array using finite Radon transform.
IET Signal Process., 2012

Artificial Neural Network-Statistical Approach for PET Volume Analysis and Classification.
Adv. Fuzzy Syst., 2012

An embedded system for on field testing of human identification using ECG biometric.
Proceedings of the 11th International Conference on Information Science, 2012

A wireless reconfigurable system for falls detection.
Proceedings of the 11th International Conference on Information Science, 2012

FPGA optimised 3-D cyclic convolution using dynamic partial reconfiguration.
Proceedings of the 11th International Conference on Information Science, 2012

Rapid prototyping of three-dimensional transform for medical image compression.
Proceedings of the 11th International Conference on Information Science, 2012

High level prototyping and FPGA implementation of the orthogonal matching pursuit algorithm.
Proceedings of the 11th International Conference on Information Science, 2012

Generic virtual filesystems for reconfigurable devices.
Proceedings of the 2012 IEEE International Symposium on Circuits and Systems, 2012

A Multi-modal Face and Signature Biometric Authentication System Using a Max-of-Scores Based Fusion.
Proceedings of the Neural Information Processing - 19th International Conference, 2012

Audio-Visual Feature Fusion for Speaker Identification.
Proceedings of the Neural Information Processing - 19th International Conference, 2012

2011
Latent Semantic Indexing using Multiresolution Analysis.
Proceedings of the PECCS 2011, 2011

Neuro-Fuzzy Based Approach for Analysing 3D PET Volume.
Proceedings of the 2011 Developments in E-systems Engineering, 2011

PET Volume Analysis Based on Committee Machine for Tumour Detection and Quantification.
Proceedings of the 2011 Developments in E-systems Engineering, 2011

2010
A Novel Feature Vectors Construction Approach for Face Recognition.
Trans. Comput. Sci., 2010

An efficient FPGA-based dynamic partial reconfiguration design flow and environment for image and signal processing IP cores.
Signal Process. Image Commun., 2010

Efficient architectures for 3D HWT using dynamic partial reconfiguration.
J. Syst. Archit., 2010

Artificial Neural Network-Based System for PET Volume Segmentation.
Int. J. Biomed. Imaging, 2010

Machine Learning Paradigms for Modeling Spatial and Temporal Information in Multimedia Data Mining.
Adv. Artif. Intell., 2010

3D Medical Volume Segmentation Using Hybrid Multiresolution Statistical Approaches.
Adv. Artif. Intell., 2010

Efficient FPGA implementation of a wireless communication system using Bluetooth connectivity.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2010), May 30, 2010

Intelligent approach for PET volume analysis.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2010), May 30, 2010

3D Oncological PET volume analysis using CNN and LVQNN.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2010), May 30, 2010

Efficient implementation of a 3-D medical imaging compression system using CAVLC.
Proceedings of the International Conference on Image Processing, 2010

A new FPGA-based dynamic partial reconfiguration design flow and environment for image processing applications.
Proceedings of the 2nd European Workshop on Visual Information Processing, 2010

Textual noise analysis and removal for effective search engines.
Proceedings of the 2nd European Workshop on Visual Information Processing, 2010

Dynamically reconfigurable architecture for real time adaptation of H264/AVC-SVC video streams.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2010

Novel hybrid approach combining ANN and MRA for PET volume segmentation.
Proceedings of the IEEE Asia Pacific Conference on Circuits and Systems, 2010

Optimal discrete wavelet transform (DWT) features for face recognition.
Proceedings of the IEEE Asia Pacific Conference on Circuits and Systems, 2010

FPGA-based architectures of finite radon transform for medical image de-noising.
Proceedings of the IEEE Asia Pacific Conference on Circuits and Systems, 2010

2009
TDM modeling and evaluation of different domain transforms for LSI.
Neurocomputing, 2009

An intelligent system for pet tumour detection and quantification.
Proceedings of the International Conference on Image Processing, 2009

Hardware implementation and power analysis of HWT for medical imaging.
Proceedings of the 16th IEEE International Conference on Electronics, 2009

Efficient systolic architecture and power modeling for finite ridgelet transform.
Proceedings of the 12th IEEE International Conference on Computer Vision Workshops, 2009

2008
FPGA Realization of FIR Filters by Efficient and Flexible Systolization Using Distributed Arithmetic.
IEEE Trans. Signal Process., 2008

Structural hidden Markov models for biometrics: Fusion of face and fingerprint.
Pattern Recognit., 2008

Feature generation and machine learning for robust multimodal biometrics.
Pattern Recognit., 2008

An efficient VLSI architecture and FPGA implementation of the Finite Ridgelet Transform.
J. Real Time Image Process., 2008

A segmentation concept for positron emission tomography imaging using multiresolution analysis.
Neurocomputing, 2008

A Statistical Multiresolution Approach for Face Recognition Using Structural Hidden Markov Models.
EURASIP J. Adv. Signal Process., 2008

Performance evaluation of DCT and wavelet transform for LSI.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2008), 2008

DWT/PCA Face Recognition using Automatic Coefficient Selection.
Proceedings of the 4th IEEE International Symposium on Electronic Design, 2008

High Performance FPGA Implementation of the Mersenne Twister.
Proceedings of the 4th IEEE International Symposium on Electronic Design, 2008

An efficient architecture for HWT using sparse matrix factorisation and DA principles.
Proceedings of the IEEE Asia Pacific Conference on Circuits and Systems, 2008

2007
Power Modeling and Efficient FPGA Implementation of FHT for Signal Processing.
IEEE Trans. Very Large Scale Integr. Syst., 2007

Empirical study of a novel approach to LSI for text categorisation.
Proceedings of the 9th International Symposium on Signal Processing and Its Applications, 2007

Novel Sparse OBC based Distributed Arithmetic Architecture for Matrix Transforms.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2007), 2007

Floating-Point Matrix Product on FPGA.
Proceedings of the 2007 IEEE/ACS International Conference on Computer Systems and Applications (AICCSA 2007), 2007

Multiresolution Hybrid Approaches for Automated Face Recognition.
Proceedings of the Second NASA/ESA Conference on Adaptive Hardware and Systems (AHS 2007), 2007

A New Behavioural Power Modelling Approach for FPGA based Custom Cores.
Proceedings of the Second NASA/ESA Conference on Adaptive Hardware and Systems (AHS 2007), 2007

2006
A Novel Approach for Lexical Noise Analysis and Measurement in Intelligent Information Retrieval.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

An Efficient FPGA Implementation of Gaussian Mixture Models-Based Classifier Using Distributed Arithmetic.
Proceedings of the 13th IEEE International Conference on Electronics, 2006

Power Modeling and Efficient FPGA Implementation of Color Space Conversion.
Proceedings of the 13th IEEE International Conference on Electronics, 2006

Power Reduction for FPGA Implementations : Design Optimisation and High Level Modelling.
Proceedings of the 2006 International Conference on Field Programmable Logic and Applications (FPL), 2006

FPGA Implementation and Power Modelling of the Fast Walsh Transform.
Proceedings of the 2006 International Conference on Field Programmable Logic and Applications (FPL), 2006

2005
Real-time 2-D wavelet transform implementation for HDTV compression.
Real Time Imaging, 2005

A Fpga-based Parametrizable System for High-resolution Frequency-domain Image Filtering.
J. Circuits Syst. Comput., 2005

Accelerating colour space conversion on reconfigurable hardware.
Image Vis. Comput., 2005

A Novel Prostate Cancer Classification Technique Using Intermediate Memory Tabu Search.
EURASIP J. Adv. Signal Process., 2005

Design and FPGA implementation of finite Ridgelet transform [image processing applications].
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2005), 2005

An automated volumetric segmentation system combining multiscale and statistical reasoning.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2005), 2005

An automatic face recognition system based on wavelet transforms.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2005), 2005

An area efficient low power inner product computation for discrete orthogonal transforms.
Proceedings of the 2005 International Conference on Image Processing, 2005

High Speed / Low Power Architectures for the Finite Radon Transform.
Proceedings of the 2005 International Conference on Field Programmable Logic and Applications (FPL), 2005

A framework for FPGA based Discrete Biorthogonal Wavelet Transforms implementation.
Proceedings of the 13th European Signal Processing Conference, 2005

2004
An efficient architecture for 1-D discrete biorthogonal wavelet transform.
Proceedings of the 2004 International Symposium on Circuits and Systems, 2004

An efficient architecture for color space conversion using Distributed Arithmetic.
Proceedings of the 2004 International Symposium on Circuits and Systems, 2004

Accelerating MUSIC method on reconfigurable hardware for source localisation.
Proceedings of the 2004 International Symposium on Circuits and Systems, 2004

Feature Selection using Tabu Search for Improving the Classification Rate of Prostate Needle Biopsies.
Proceedings of the 17th International Conference on Pattern Recognition, 2004

Design and fpga implementation of non-separable 2-d biorthogonal wavelet transforms for image/video coding.
Proceedings of the 2004 International Conference on Image Processing, 2004

Accelerating the computation of glcm and haralick texture features on reconfigurable hardware.
Proceedings of the 2004 International Conference on Image Processing, 2004

Accelerating svd on reconficurable hardware for image denoising.
Proceedings of the 2004 International Conference on Image Processing, 2004

A non-separable lifting approach for 3D image compression.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

A very low bit-rate embedded color image coding with SPIHT.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

Design and Efficient FPGA Implementation of an RGB to YCrCb Color Space Converter Using Distributed Arithmetic.
Proceedings of the Field Programmable Logic and Application, 2004

2003
Towards a general framework for an FPGA-based FFT coprocessor.
Proceedings of the Seventh International Symposium on Signal Processing and Its Applications, 2003

A quadratic classifier based on multispectral texture features for prostate cancer diagnosis.
Proceedings of the Seventh International Symposium on Signal Processing and Its Applications, 2003

A Wavelet based 3D image compression system.
Proceedings of the Seventh International Symposium on Signal Processing and Its Applications, 2003

An FPGA implementation of discrete Hartley transforms.
Proceedings of the Seventh International Symposium on Signal Processing and Its Applications, 2003

An FPGA based parameterisable system for discrete Hartley transforms implementation.
Proceedings of the 2003 International Conference on Image Processing, 2003

A reconfigurable coprocessor for high-resolution image filtering in real time.
Proceedings of the 2003 10th IEEE International Conference on Electronics, 2003

An FPGA based co-processor for GLCM texture features measurement.
Proceedings of the 2003 10th IEEE International Conference on Electronics, 2003

An FPGA implementation of 3D affine transformations.
Proceedings of the 2003 10th IEEE International Conference on Electronics, 2003

FPGA implementations of fast fourier transforms for real-time signal and image processing.
Proceedings of the 2003 IEEE International Conference on Field-Programmable Technology, 2003

An FPGA based coprocessor for large matrix product implementation.
Proceedings of the 2003 IEEE International Conference on Field-Programmable Technology, 2003

An FPGA based coprocessor for 3D affine transformations.
Proceedings of the 2003 IEEE International Conference on Field-Programmable Technology, 2003

Improved SVD systolic array and implementation on FPGA.
Proceedings of the 2003 IEEE International Conference on Field-Programmable Technology, 2003

2002
A multispectral computer vision system for automatic grading of prostatic neoplasia.
Proceedings of the 2002 IEEE International Symposium on Biomedical Imaging, 2002

Unsupervised segmentation of multispectral images using edge progression and cost function.
Proceedings of the 2002 International Conference on Image Processing, 2002

Custom Coprocessor Based Matrix Algorithms for Image and Signal Processing.
Proceedings of the Field-Programmable Logic and Applications, 2002

An FPGA based parametrisable system for Discrete Orthogonal Transforms implementation.
Proceedings of the 11th European Signal Processing Conference, 2002

2001
A custom coprocessor for matrix algorithms.
PhD thesis, 2001

An FPGA based Walsh Hadamard transforms.
Proceedings of the 2001 International Symposium on Circuits and Systems, 2001

A novel technique for unsupervised texture segmentation.
Proceedings of the 2001 International Conference on Image Processing, 2001

An FPGA implementation of Walsh-Hadamard transforms for signal processing.
Proceedings of the IEEE International Conference on Acoustics, 2001

Accelerating Matrix Product on Reconfigurable Hardware for Signal Processing.
Proceedings of the Field-Programmable Logic and Applications, 2001

2000
A novel architecture for Walsh Hadamard transforms using distributed arithmetic principles.
Proceedings of the 2000 7th IEEE International Conference on Electronics, 2000


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