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ORCIDAbbes Amira
Person information
- affiliation: De Montfort University, Institute of Artificial Intelligence, Leicester, UK
- affiliation (2017 - 2019): Qatar University, KINDI Center for Computing Research, Doha, Qatar
- affiliation (2013 - 2018): University of the West of Scotland, Paisley, UK
- affiliation (2010 - 2013): University of Ulster, UK
- affiliation (2006 - 2010): Brunel University, London, UK
- affiliation (PhD 2001): Queen's University, Belfast, UK
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2020 – today
- 2023
[j87]Yassine Himeur
, Mariam Elnour, Fodil Fadli, Nader Meskin, Ioan Petri, Yacine Rezgui, Faycal Bensaali, Abbes Amira:
AI-big data analytics for building automation and management systems: a survey, actual challenges and future perspectives. Artif. Intell. Rev. 56(6): 4929-5021 (2023)- [j86]Abdullah Alsalemi, Abbes Amira, Hossein Malekmohamadi, Kegong Diao:
Lightweight Gramian Angular Field classification for edge internet of energy applications. Clust. Comput. 26(2): 1375-1387 (2023) - [j85]Taki Eddine Saidi, Abdelhakim Khouas, Abbes Amira:
Implementation of a real-time stereo vision algorithm on a cost-effective heterogeneous multicore platform. Concurr. Comput. Pract. Exp. 35(1) (2023) - [j84]Abigail Copiaco, Yassine Himeur, Abbes Amira, Wathiq Mansoor, Fodil Fadli, Shadi Atalla, Shahab Saquib Sohail:
An innovative deep anomaly detection of building energy consumption using energy time-series images. Eng. Appl. Artif. Intell. 119: 105775 (2023) - [j83]Iraklis Varlamis, Christos Sardianos, Christos Chronis, George J. Dimitrakopoulos, Yassine Himeur, Abdullah Alsalemi, Faycal Bensaali, Abbes Amira:
Using big data and federated learning for generating energy efficiency recommendations. Int. J. Data Sci. Anal. 16(3): 353-369 (2023) - [j82]Hamza Kheddar, Yassine Himeur, Sumaya Almaadeed, Abbes Amira, Faycal Bensaali:
Deep transfer learning for automatic speech recognition: Towards better generalization. Knowl. Based Syst. 277: 110851 (2023) - [c155]Youssef Elmir, Yassine Himeur, Abbes Amira:
ECG classification using Deep CNN and Gramian Angular Field. BigDataService 2023: 137-141 - [i24]Hafsa Bousbiat, Roumaysa Bousselidj, Yassine Himeur, Abbes Amira, Faycal Bensaali, Fodil Fadli, Wathiq Mansoor, Wilfried Elmenreich:
Crossing Roads of Federated Learning and Smart Grids: Overview, Challenges, and Perspectives. CoRR abs/2304.08602 (2023) - [i23]Hamza Kheddar, Yassine Himeur, Somaya Al-Máadeed, Abbes Amira, Faycal Bensaali:
Deep Transfer Learning for Automatic Speech Recognition: Towards Better Generalization. CoRR abs/2304.14535 (2023) - [i22]Qazi Mohammad Areeb, Mohammad Nadeem, Shahab Saquib Sohail, Raza Imam, Faiyaz Doctor, Yassine Himeur, Amir Hussain, Abbes Amira:
Filter Bubbles in Recommender Systems: Fact or Fallacy - A Systematic Review. CoRR abs/2307.01221 (2023) - [i21]Hafsa Bousbiat, Yassine Himeur, Abbes Amira, Wathiq Mansoor:
On the Sensitivity of Deep Load Disaggregation to Adversarial Attacks. CoRR abs/2307.10209 (2023) - [i20]Youssef Elmir, Yassine Himeur, Abbes Amira:
ECG classification using Deep CNN and Gramian Angular Field. CoRR abs/2308.02395 (2023) - [i19]Hamza Kheddar, Mustapha Hemis, Yassine Himeur, David Megías, Abbes Amira:
Deep Learning for Diverse Data Types Steganalysis: A Review. CoRR abs/2308.04522 (2023) - [i18]Yassine Himeur, Iraklis Varlamis, Hamza Kheddar, Abbes Amira, Shadi Atalla, Yashbir Singh, Faycal Bensaali, Wathiq Mansoor:
Federated Learning for Computer Vision. CoRR abs/2308.13558 (2023) - 2022
- [j81]Imene Mecheter, Maysam Abbod, Abbes Amira, Habib Zaidi:
Deep learning with multiresolution handcrafted features for brain MRI segmentation. Artif. Intell. Medicine 131: 102365 (2022) - [j80]Yassine Himeur, Shahab Saquib Sohail, Faycal Bensaali, Abbes Amira, Mamoun Alazab:
Latest trends of security and privacy in recommender systems: A comprehensive review and future perspectives. Comput. Secur. 118: 102746 (2022) - [j79]Yassine Himeur, Aya Sayed, Abdullah Alsalemi, Faycal Bensaali, Abbes Amira, Iraklis Varlamis, Magdalini Eirinaki, Christos Sardianos, George Dimitrakopoulos:
Blockchain-based recommender systems: Applications, challenges and future opportunities. Comput. Sci. Rev. 43: 100439 (2022) - [j78]Yassine Himeur, Abdullah Alsalemi, Faycal Bensaali, Abbes Amira, Ayman Al-Kababji:
Recent trends of smart nonintrusive load monitoring in buildings: A review, open challenges, and future directions. Int. J. Intell. Syst. 37(10): 7124-7179 (2022) - [j77]Imene Mecheter, Maysam Abbod, Habib Zaidi, Abbes Amira:
Brain MR images segmentation using 3D CNN with features recalibration mechanism for segmented CT generation. Neurocomputing 491: 232-243 (2022) - [j76]Yassine Himeur, Bhagawat Rimal, Abhishek Tiwary, Abbes Amira:
Using artificial intelligence and data fusion for environmental monitoring: A review and future perspectives. Inf. Fusion 86-87: 44-75 (2022) - [j75]Oussama Kerdjidj, Elhocine Boutellaa, Abbes Amira, Khalida Ghanem, Fatima Chouireb:
A hardware framework for fall detection using inertial sensors and compressed sensing. Microprocess. Microsystems 91: 104514 (2022) - [j74]Aya Sayed, Yassine Himeur, Abdullah Alsalemi, Faycal Bensaali, Abbes Amira:
Intelligent Edge-Based Recommender System for Internet of Energy Applications. IEEE Syst. J. 16(3): 5001-5010 (2022) - [c154]Abdullah Alsalemi, Abbes Amira, Hossein Malekmohamadi, Kegong Diao:
Facilitating Deep Learning for Edge Computing: A Case Study on Data Classification. DSC 2022: 1-4 - [c153]Abdullah Alsalemi, Abbes Amira, Hossein Malekmohamadi, Kegong Diao:
Creating 3D Gramian Angular Field Representations for Higher Performance Energy Data Classification. ICIP 2022: 3586-3590 - [c152]Hafsa Bousbiat, Christoph Klemenjak, Yassine Himeur, Wilfried Elmenreich, Abbes Amira, Wathiq Mansoor, Shadi Atalla:
Neural NILM Learning Paradigms: From Centralised to Decentralised Learning. ICSPIS 2022: 138-142 - [c151]Shadi Atalla, Yassine Himeur, Wathiq Mansoor, Abbes Amira, Fodil Fadli, Abigail Copiaco, Shahab Saquib Sohail:
Recommendation System Towards Residential Energy Saving Based on Anomaly Detection. ICSPIS 2022: 169-174 - [c150]Yassine Himeur, Fodil Fadli, Abbes Amira:
A Two-Stage Energy Anomaly Detection for Edge-based Building Internet of Things (BIoT) Applications. ICSPIS 2022: 180-185 - [c149]M. Jaleel, Abbes Amira, Hossein Malekmohamadi:
A Voting Ensemble Technique for Gas Classification. SAI (2) 2022: 436-444 - [c148]O. F. Kucukler, Abbes Amira, Hossein Malekmohamadi:
Statistical Analysis of Electroencephalographic Signals in the Stimulation of Energy Data Visualizations. SAI (2) 2022: 504-519 - 2021
- [j73]Shabir Moosa, Abbes Amira, Sabri Boughorbel:
DASSI: differential architecture search for splice identification from DNA sequences. BioData Min. 14(1): 15 (2021) - [j72]Ayman Al-Kababji, Abbes Amira, Faycal Bensaali, Abdulah Jarouf, Lisan Shidqi, Hamza Djelouat:
An IoT-based framework for remote fall monitoring. Biomed. Signal Process. Control. 67: 102532 (2021) - [j71]Haider Ali, Umair Ullah Tariq, James Hardy, Xiaojun Zhai, Lu Liu, Yongjun Zheng, Faycal Bensaali, Abbes Amira, Kaniz Fatema, Nikos Antonopoulos:
A survey on system level energy optimisation for MPSoCs in IoT and consumer electronics. Comput. Sci. Rev. 41: 100416 (2021) - [j70]Mara Nikolaidou, Christos Kotronis, Ioannis Routis, Elena Politi, George Dimitrakopoulos, Dimosthenis Anagnostopoulos, Hamza Djelouat, Abbes Amira, Faycal Bensaali:
Incorporating patient concerns into design requirements for IoMT-based systems: The fall detection case study. Health Informatics J. 27(1): 146045822098264 (2021) - [j69]Yassine Himeur, Abdullah Alsalemi, Faycal Bensaali, Abbes Amira:
An intelligent nonintrusive load monitoring scheme based on 2D phase encoding of power signals. Int. J. Intell. Syst. 36(1): 72-93 (2021) - [j68]Christos Sardianos, Iraklis Varlamis, Christos Chronis, George Dimitrakopoulos, Abdullah Alsalemi, Yassine Himeur, Faycal Bensaali, Abbes Amira:
The emergence of explainability of intelligent systems: Delivering explainable and personalized recommendations for energy efficiency. Int. J. Intell. Syst. 36(2): 656-680 (2021) - [j67]Yassine Himeur, Abdullah Alsalemi, Faycal Bensaali, Abbes Amira:
Smart power consumption abnormality detection in buildings using micromoments and improved K-nearest neighbors. Int. J. Intell. Syst. 36(6): 2865-2894 (2021) - [j66]Yassine Himeur, Abdullah Alsalemi, Ayman Al-Kababji, Faycal Bensaali, Abbes Amira, Christos Sardianos, George Dimitrakopoulos, Iraklis Varlamis:
A survey of recommender systems for energy efficiency in buildings: Principles, challenges and prospects. Inf. Fusion 72: 1-21 (2021) - [j65]Yousra Regaya, Fodil Fadli, Abbes Amira:
Point-Denoise: Unsupervised outlier detection for 3D point clouds enhancement. Multim. Tools Appl. 80(18): 28161-28177 (2021) - [j64]Abdullah Alsalemi, Yassine Himeur, Faycal Bensaali, Abbes Amira, Christos Sardianos, Christos Chronis, Iraklis Varlamis, George Dimitrakopoulos:
A Micro-Moment System for Domestic Energy Efficiency Analysis. IEEE Syst. J. 15(1): 1256-1263 (2021) - [c147]Yassine Himeur, Abdullah Alsalemi, Faycal Bensaali, Abbes Amira:
Detection of Appliance-Level Abnormal Energy Consumption in Buildings Using Autoencoders and Micro-moments. BDIoT 2021: 179-193 - [c146]Yassine Himeur, Abdullah Alsalemi, Faycal Bensaali, Abbes Amira:
The Emergence of Hybrid Edge-Cloud Computing for Energy Efficiency in Buildings. IntelliSys (2) 2021: 70-83 - [c145]Aya Sayed, Abdullah Alsalemi, Yassine Himeur, Faycal Bensaali, Abbes Amira:
Endorsing Energy Efficiency Through Accurate Appliance-Level Power Monitoring, Automation and Data Visualization. NISS (Springer) 2021: 603-617 - [i17]Yassine Himeur, Abdullah Alsalemi, Faycal Bensaali, Abbes Amira:
Smart non-intrusive appliance identification using a novel local power histogramming descriptor with an improved k-nearest neighbors classifier. CoRR abs/2102.04808 (2021) - [i16]Yassine Himeur, Abdullah Alsalemi, Ayman Al-Kababji, Faycal Bensaali, Abbes Amira, Christos Sardianos, George Dimitrakopoulos, Iraklis Varlamis:
A survey of recommender systems for energy efficiency in buildings: Principles, challenges and prospects. CoRR abs/2102.07654 (2021) - [i15]Ayman Al-Kababji, Abbes Amira, Faycal Bensaali, Abdulah Jarouf, Lisan Shidqi, Hamza Djelouat:
An IoT-Based Framework for Remote Fall Monitoring. CoRR abs/2105.09461 (2021) - [i14]Yassine Himeur, Aya Sayed, Abdullah Alsalemi, Faycal Bensaali, Abbes Amira, Iraklis Varlamis, Magdalini Eirinaki, Christos Sardianos, George Dimitrakopoulos:
Blockchain-based Recommender Systems: Applications, Challenges and Future Opportunities. CoRR abs/2111.11509 (2021) - [i13]Aya Sayed, Yassine Himeur, Abdullah Alsalemi, Faycal Bensaali, Abbes Amira:
Intelligent edge-based recommender system for internet of energy applications. CoRR abs/2111.13272 (2021) - 2020
- [j63]Abdullah Alsalemi, Yassine Himeur, Faycal Bensaali, Abbes Amira, Christos Sardianos, Iraklis Varlamis, George Dimitrakopoulos:
Achieving Domestic Energy Efficiency Using Micro-Moments and Intelligent Recommendations. IEEE Access 8: 15047-15055 (2020) - [j62]Mhd Saeed Sharif, Maysam Abbod, Ali H. Al-Bayatti, Abbes Amira, Ahmed S. Alfakeeh, Bal Sanghera:
An Accurate Ensemble Classifier for Medical Volume Analysis: Phantom and Clinical PET Study. IEEE Access 8: 37482-37494 (2020) - [j61]Sahar Soheilian Esfahani, Xiaojun Zhai, Minsi Chen, Abbes Amira, Faycal Bensaali, Julien Abinahed, Sarada Dakua, Georges Younes, Abdulla Baobeid, Robin A. Richardson, Peter V. Coveney:
Lattice-Boltzmann interactive blood flow simulation pipeline. Int. J. Comput. Assist. Radiol. Surg. 15(4): 629-639 (2020) - [j60]Yassine Himeur, Abdullah Alsalemi, Faycal Bensaali, Abbes Amira:
A Novel Approach for Detecting Anomalous Energy Consumption Based on Micro-Moments and Deep Neural Networks. Cogn. Comput. 12(6): 1381-1401 (2020) - [j59]Hamza Djelouat, Abbes Amira, Faycal Bensaali, Issam Boukhennoufa:
Secure compressive sensing for ECG monitoring. Comput. Secur. 88 (2020) - [j58]Christos Sardianos, Iraklis Varlamis, George Dimitrakopoulos, Dimosthenis Anagnostopoulos, Abdullah Alsalemi, Faycal Bensaali, Yassine Himeur, Abbes Amira:
REHAB-C: Recommendations for Energy HABits Change. Future Gener. Comput. Syst. 112: 394-407 (2020) - [j57]Yassine Himeur, Abdullah Alsalemi, Ayman Al-Kababji, Faycal Bensaali, Abbes Amira:
Data fusion strategies for energy efficiency in buildings: Overview, challenges and novel orientations. Inf. Fusion 64: 99-120 (2020) - [j56]Oussama Kerdjidj, Naeem Ramzan, Khalida Ghanem, Abbes Amira, Fatima Chouireb:
Fall detection and human activity classification using wearable sensors and compressed sensing. J. Ambient Intell. Humaniz. Comput. 11(1): 349-361 (2020) - [j55]Issam Boukhennoufa, Abbes Amira, Faycal Bensaali, Sahar Soheilian Esfahani:
A novel gateway-based solution for remote elderly monitoring. J. Biomed. Informatics 109: 103521 (2020) - [j54]Imene Mecheter, Lejla Alic, Maysam Abbod, Abbes Amira, Jim Ji:
MR Image-Based Attenuation Correction of Brain PET Imaging: Review of Literature on Machine Learning Approaches for Segmentation. J. Digit. Imaging 33(5): 1224-1241 (2020) - [j53]Hamza Djelouat, Mohammed Al Disi, Issam Boukhennoufa, Abbes Amira, Faycal Bensaali, Christos Kotronis, Elena Politis, Mara Nikolaidou, George Dimitrakopoulos:
Real-time ECG monitoring using compressive sensing on a heterogeneous multicore edge-device. Microprocess. Microsystems 72 (2020) - [j52]Xiaojun Zhai, Minsi Chen, Sahar Soheilian Esfahani, Abbes Amira, Faycal Bensaali, Julien Abinahed, Sarada Dakua, Robin A. Richardson, Peter V. Coveney:
Heterogeneous System-on-Chip-Based Lattice-Boltzmann Visual Simulation System. IEEE Syst. J. 14(2): 1592-1601 (2020) - [c144]Christos Sardianos, Iraklis Varlamis, Christos Chronis, George Dimitrakopoulos, Yassine Himeur, Abdullah Alsalemi, Faycal Bensaali, Abbes Amira:
Data Analytics, Automations, and Micro-Moment Based Recommendations for Energy Efficiency. BigDataService 2020: 96-103 - [c143]Christos Sardianos, Iraklis Varlamis, Christos Chronis, George Dimitrakopoulos, Yassine Himeur, Abdullah Alsalemi, Faycal Bensaali, Abbes Amira:
A model for predicting room occupancy based on motion sensor data. ICIoT 2020: 394-399 - [c142]Yassine Himeur, Abdullah Alsalemi, Faycal Bensaali, Abbes Amira:
Appliance identification using a histogram post-processing of 2D local binary patterns for smart grid applications. ICPR 2020: 5744-5751 - [c141]Yassine Himeur, Abdullah Alsalemi, Faycal Bensaali, Abbes Amira, Christos Sardianos, Iraklis Varlamis, George Dimitrakopoulos:
On the Applicability of 2D Local Binary Patterns for Identifying Electrical Appliances in Non-intrusive Load Monitoring. IntelliSys (3) 2020: 188-205 - [c140]Imene Mecheter, Abbes Amira, Maysam Abbod, Habib Zaidi:
Brain MR Imaging Segmentation Using Convolutional Auto Encoder Network for PET Attenuation Correction. IntelliSys (3) 2020: 430-440 - [c139]Muhieddine Hatab, Hossein Malekmohamadi, Abbes Amira:
Surface Defect Detection Using YOLO Network. IntelliSys (1) 2020: 505-515 - [c138]Alessio Darmanin, Hossein Malekmohamadi, Abbes Amira:
Vehicle Detection and Classification in Difficult Environmental Conditions Using Deep Learning. IntelliSys (1) 2020: 686-696 - [c137]Yassine Himeur, Abdullah Alsalemi, Faycal Bensaali, Abbes Amira:
Efficient Multi-Descriptor Fusion for Non-Intrusive Appliance Recognition. ISCAS 2020: 1-5 - [c136]Taki Eddine Saidi, Abdelhakim Khouas, Abbes Amira:
Accelerating Stereo Matching on Mutlicore ARM Platform. ISCAS 2020: 1-5 - [c135]Christos Sardianos, Christos Chronis, Iraklis Varlamis, George Dimitrakopoulos, Yassine Himeur, Abdullah Alsalemi, Faycal Bensaali, Abbes Amira:
Real-time personalised energy saving recommendations. iThings/GreenCom/CPSCom/SmartData/Cybermatics 2020: 366-371 - [c134]Imene Mecheter, Abbes Amira, Maysam Abbod, Habib Zaidi:
Deep Learning based Segmentation for Multi MR Imaging Protocols using Transfer Learning for PET Attenuation Correction. SSCI 2020: 2516-2520 - [c133]Abdullah Alsalemi, Ayman Al-Kababji, Yassine Himeur, Faycal Bensaali, Abbes Amira:
Cloud Energy Micro-Moment Data Classification: A Platform Study. UCC 2020: 420-425 - [i12]Yassine Himeur, Abdullah Alsalemi, Ayman Al-Kababji, Faycal Bensaali, Abbes Amira:
Data fusion strategies for energy efficiency in buildings: Overview, challenges and novel orientations. CoRR abs/2009.06345 (2020) - [i11]Yassine Himeur, Abdullah Alsalemi, Faycal Bensaali, Abbes Amira:
Building power consumption datasets: Survey, taxonomy and future directions. CoRR abs/2009.08192 (2020) - [i10]Yassine Himeur, Abdullah Alsalemi, Faycal Bensaali, Abbes Amira:
Efficient multi-descriptor fusion for non-intrusive appliance recognition. CoRR abs/2009.08210 (2020) - [i9]Yassine Himeur, Abdullah Alsalemi, Faycal Bensaali, Abbes Amira:
Improving in-home appliance identification using fuzzy-neighbors-preserving analysis based QR-decomposition. CoRR abs/2009.08282 (2020) - [i8]Yassine Himeur, Abdullah Alsalemi, Faycal Bensaali, Abbes Amira:
Appliance identification using a histogram post-processing of 2D local binary patterns for smart grid applications. CoRR abs/2010.01414 (2020) - [i7]Ayman Al-Kababji, Abdullah Alsalemi, Yassine Himeur, Faycal Bensaali, Abbes Amira, Rachael Fernandez, Noora Fetais:
Energy Data Visualizations on Smartphones for Triggering Behavioral Change: Novel Vs. Conventional. CoRR abs/2010.04274 (2020) - [i6]Yassine Himeur, Abdullah Alsalemi, Faycal Bensaali, Abbes Amira:
Anomaly detection of energy consumption in buildings: A review, current trends and new perspectives. CoRR abs/2010.04560 (2020) - [i5]Christos Sardianos, Iraklis Varlamis, Christos Chronis, George Dimitrakopoulos, Abdullah Alsalemi, Yassine Himeur, Faycal Bensaali, Abbes Amira:
Reshaping consumption habits by exploiting energy-related micro-moment recommendations: A case study. CoRR abs/2010.04693 (2020) - [i4]Christos Sardianos, Iraklis Varlamis, Christos Chronis, George Dimitrakopoulos, Abdullah Alsalemi, Yassine Himeur, Faycal Bensaali, Abbes Amira:
The emergence of Explainability of Intelligent Systems: Delivering Explainable and Personalised Recommendations for Energy Efficiency. CoRR abs/2010.04990 (2020) - [i3]Abdullah Alsalemi, Ayman Al-Kababji, Yassine Himeur, Faycal Bensaali, Abbes Amira:
Cloud Energy Micro-Moment Data Classification: A Platform Study. CoRR abs/2010.12064 (2020) - [i2]Abdullah Alsalemi, Yassine Himeur, Faycal Bensaali, Abbes Amira:
Appliance-Level Monitoring with Micro-Moment Smart Plugs. CoRR abs/2012.05787 (2020)
2010 – 2019
- 2019
- [j51]Sarada Prasad Dakua, Julien Abinahed, Ayman Zakaria, Shidin Balakrishnan, Georges Younes, Nikhil V. Navkar, Abdulla Al-Ansari, Xiaojun Zhai, Faycal Bensaali, Abbes Amira:
Moving object tracking in clinical scenarios: application to cardiac surgery and cerebral aneurysm clipping. Int. J. Comput. Assist. Radiol. Surg. 14(12): 2165-2176 (2019) - [j50]Xiaojun Zhai, Abbes Amira, Faycal Bensaali, AlMaha Al-Shibani, Asma Al-Nassr, Asmaa El-Sayed, Mohammad Eslami, Sarada Prasad Dakua, Julien Abinahed:
Zynq SoC based acceleration of the lattice Boltzmann method. Concurr. Comput. Pract. Exp. 31(17) (2019) - [j49]Christos Kotronis, Ioannis Routis, Elena Politis, Mara Nikolaidou, George Dimitrakopoulos, Dimosthenis Anagnostopoulos, Abbes Amira, Faycal Bensaali, Hamza Djelouat:
Evaluating Internet of Medical Things (IoMT)-Based Systems from a Human-Centric Perspective. Internet Things 8 (2019) - [j48]Ali Al-Zawqari, Omar Hommos, Abdulhadi Al-Qahtani, Ali Farhat, Faycal Bensaali, Xiaojun Zhai, Abbes Amira:
HD number plate localization and character segmentation on the Zynq heterogeneous SoC. J. Real Time Image Process. 16(6): 2351-2365 (2019) - [j47]Abbes Amira, Nazim Agoulmine, Faycal Bensaali, Amine Bermak, George Dimitrakopoulos:
Special Issue: Empowering eHealth with Smart Internet of Things (IoT) Medical Devices. J. Sens. Actuator Networks 8(2): 33 (2019) - [j46]Oussama Kerdjidj, Abbes Amira, Khalida Ghanem, Naeem Ramzan, Stamos Katsigiannis, Fatima Chouireb:
An FPGA implementation of the matching pursuit algorithm for a compressed sensing enabled e-Health monitoring platform. Microprocess. Microsystems 67: 131-139 (2019) - [j45]Abdullah Alsalemi, Christos Sardianos, Faycal Bensaali, Iraklis Varlamis, Abbes Amira, George Dimitrakopoulos:
The Role of Micro-Moments: A Survey of Habitual Behavior Change and Recommender Systems for Energy Saving. IEEE Syst. J. 13(3): 3376-3387 (2019) - [c132]Issam Boukhennoufa, Abbes Amira, Faycal Bensaali, Dimosthenis Anagnostopoulos, Mara Nikolaidou, Christos Kotronis, Elena Politis, George Dimitrakopoulos:
An IoT-Based Framework for Elderly Remote Monitoring. DSD 2019: 442-448 - [c131]Christos Kotronis, Anargyros Tsadimas, Mara Nikolaidou, Dimosthenis Anagnostopoulos, George Dimitrakopoulos, Abbes Amira, Faycal Bensaali:
Leveraging Quality of Service and Cost in Cyber-Physical Systems Design. GECON 2019: 208-217 - [c130]Sahar Soheilian Esfahani, Peter V. Coveney, Xiaojun Zhai, Minsi Chen, Abbes Amira, Faycal Bensaali, Julien Abinahed, Sarada Dakua, Georges Younes, Robin A. Richardson:
Hemelb Acceleration and Visualization for Cerebral Aneurysms. ICIP 2019: 1376-1380 - [c129]Abdullah Alsalemi, Faycal Bensaali, Abbes Amira, Noora Fetais, Christos Sardianos, Iraklis Varlamis:
Smart Energy Usage and Visualization Based on Micro-moments. IntelliSys (2) 2019: 557-566 - [c128]Naheel Faisal Kamal, Mazen Abdelfattah, Marouane Ferjani, Abbes Amira, Naveed Nawaz:
An IoT Reconfigurable SoC Platform for Computer Vision Applications. ISSE 2019: 1-7 - [c127]Yousra Regaya, Fodil Fadli, Abbes Amira:
3D Point Cloud Enhancement using Unsupervised Anomaly Detection. ISSE 2019: 1-6 - [c126]Christos Sardianos, Iraklis Varlamis, George Dimitrakopoulos, Dimosthenis Anagnostopoulos, Abdullah Alsalemi, Faycal Bensaali, Abbes Amira:
"I Want to ... Change": Micro-moment based Recommendations can Change Users' Energy Habits. SMARTGREENS 2019: 30-39 - [c125]Christos Sardianos, Iraklis Varlamis, Christos Chronis, George Dimitrakopoulos, Abdullah Alsalemi, Yassine Himeur, Faycal Bensaali, Abbes Amira:
Reshaping Consumption Habits by Exploiting Energy-Related Micro-moment Recommendations: A Case Study. SMARTGREENS/VEHITS (Selected Papers) 2019: 65-84 - [c124]Abdullah Alsalemi, Mona Ramadan, Faycal Bensaali, Abbes Amira, Christos Sardianos, Iraklis Varlamis, George Dimitrakopoulos:
Boosting Domestic Energy Efficiency Through Accurate Consumption Data Collection. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2019: 1468-1472 - [c123]Ayman Al-Kababji, Lisan Shidqi, Issam Boukhennoufa, Abbes Amira, Faycal Bensaali, Mohamed Sadok Gastli, Abdulah Jarouf, Walid Aboueata, Alhusain Abdalla:
IoT-Based Fall and ECG Monitoring System: Wireless Communication System Based Firebase Realtime Database. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2019: 1480-1485 - [i1]Sahar Soheilian Esfahani, Xiaojun Zhai, Minsi Chen, Abbes Amira, Faycal Bensaali, Julien Abinahed, Sarada Dakua, Georges Younes, Robin A. Richardson, Peter V. Coveney:
HEMELB Acceleration and Visualization for Cerebral Aneurysms. CoRR abs/1906.11925 (2019) - 2018
- [j44]Raid Alzubi, Naeem Ramzan, Hadeel Alzoubi, Abbes Amira:
A Hybrid Feature Selection Method for Complex Diseases SNPs. IEEE Access 6: 1292-1301 (2018) - [j43]Hamza Baali, Xiaojun Zhai, Hamza Djelouat, Abbes Amira, Faycal Bensaali:
Inequality Indexes as Sparsity Measures Applied to Ventricular Ectopic Beats Detection and its Efficient Hardware Implementation. IEEE Access 6: 9464-9472 (2018) - [j42]Mohammed Al Disi, Hamza Djelouat, Christos Kotronis, Elena Politis, Abbes Amira, Faycal Bensaali, George Dimitrakopoulos, Guillaume Alinier:
ECG Signal Reconstruction on the IoT-Gateway and Efficacy of Compressive Sensing Under Real-Time Constraints. IEEE Access 6: 69130-69140 (2018) - [j41]Ali Farhat, Omar Hommos, Ali Al-Zawqari, Abdulhadi Al-Qahtani, Faycal Bensaali, Abbes Amira, Xiaojun Zhai:
Optical character recognition on heterogeneous SoC for HD automatic number plate recognition system. EURASIP J. Image Video Process. 2018: 58 (2018) - [j40]Faycal Bensaali, Xiaojun Zhai, Abbes Amira, Lu Liu:
Guest Editorial Special Issue on Real-Time Data Processing for Internet of Things. IEEE Internet Things J. 5(5): 3487-3490 (2018) - [j39]Xiaojun Zhai, Mohammad Eslami, Ealaf Sayed Hussein, Maroua Salem Filali, Salma Tarek Shalaby, Abbes Amira, Faycal Bensaali, Sarada Dakua, Julien Abinahed, Abdulla Al-Ansari, Ayman Z. Ahmed:
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