Search Results - "Amira, Abbes"

Artificial intelligence based anomaly detection of energy consumption in buildings: A review, current trends and new perspectives by Himeur, Yassine, Ghanem, Khalida, Alsalemi, Abdullah, Bensaali, Faycal, Amira, Abbes

“…Enormous amounts of data are being produced everyday by sub-meters and smart sensors installed in residential buildings. If leveraged properly, that data could…”
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Smart power consumption abnormality detection in buildings using micromoments and improved K‐nearest neighbors by Himeur, Yassine, Alsalemi, Abdullah, Bensaali, Faycal, Amira, Abbes

“…Anomaly detection in energy consumption is a crucial step towards developing efficient energy saving systems, diminishing overall energy expenditure and…”
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An intelligent nonintrusive load monitoring scheme based on 2D phase encoding of power signals by Himeur, Yassine, Alsalemi, Abdullah, Bensaali, Faycal, Amira, Abbes

“…Nonintrusive load monitoring (NILM) is the de facto technique for extracting device‐level power consumption fingerprints at (almost) no cost from only…”
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Semantic content-based image retrieval: A comprehensive study by Alzu’bi, Ahmad, Amira, Abbes, Ramzan, Naeem

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The emergence of explainability of intelligent systems: Delivering explainable and personalized recommendations for energy efficiency by Sardianos, Christos, Varlamis, Iraklis, Chronis, Christos, Dimitrakopoulos, George, Alsalemi, Abdullah, Himeur, Yassine, Bensaali, Faycal, Amira, Abbes

“…The recent advances in artificial intelligence namely in machine learning and deep learning, have boosted the performance of intelligent systems in several…”
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Recent trends of smart nonintrusive load monitoring in buildings: A review, open challenges, and future directions by Himeur, Yassine, Alsalemi, Abdullah, Bensaali, Faycal, Amira, Abbes, Al‐Kababji, Ayman

“…Smart nonintrusive load monitoring (NILM) represents a cost‐efficient technology for observing power usage in buildings. It tackles several challenges in…”
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Intelligent Edge-Based Recommender System for Internet of Energy Applications by Sayed, Aya, Himeur, Yassine, Alsalemi, Abdullah, Bensaali, Faycal, Amira, Abbes

“…Preserving energy in households and office buildings is a significant challenge, mainly due to the recent shortage of energy resources, the uprising of the…”
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Smart Sensing and End-Users' Behavioral Change in Residential Buildings: An Edge-Based Internet of Energy Perspective by Alsalemi, Abdullah, Himeur, Yassine, Bensaali, Faycal, Amira, Abbes

“…Internet of Energy (IoE) is revolutionizing the building energy industry by introducing numerous innovations that help in data collection, interpretation, and…”
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The Role of Micro-Moments: A Survey of Habitual Behavior Change and Recommender Systems for Energy Saving by Alsalemi, Abdullah, Sardianos, Christos, Bensaali, Faycal, Varlamis, Iraklis, Amira, Abbes, Dimitrakopoulos, George

“…Among the large number of efforts that study the role of technology in energy saving, there exists, first, frameworks for monitoring and controlling energy…”
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Analyzing Gas Data Using Deep Learning and 2-D Gramian Angular Fields by Jaleel, Muhammad, Kucukler, Omer Faruk, Alsalemi, Abdullah, Amira, Abbes, Malekmohamadi, Hossein, Diao, Kegong

“…The notion of employing deep learning (DL) for gas classification has kindled a revolution that has improved both data collection measures and classification…”
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Implementation of a real‐time stereo vision algorithm on a cost‐effective heterogeneous multicore platform by Saidi, Taki Eddine, Khouas, Abdelhakim, Amira, Abbes

“…Summary Stereo vision is a major computer vision technique commonly used for robotics applications. Existing software implementations of this technique on…”
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System-on-Chip Solution for Patients Biometric: A Compressive Sensing-Based Approach by Djelouat, Hamza, Xiaojun Zhai, Al Disi, Mohamed, Amira, Abbes, Bensaali, Faycal

“…The ever-increasing demand for biometric solutions for the Internet-of-Things (IoT)-based connected health applications is mainly driven by the need to tackle…”
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Empowering Technology Enabled Care Using IoT and Smart Devices: A Review by Baali, Hamza, Djelouat, Hamza, Amira, Abbes, Bensaali, Faycal

“…Designing power aware wearable devices is the main key in building compact size autonomous smart devices to successfully connect health Internet of things…”
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FPGA Implementation of Orthogonal Matching Pursuit for Compressive Sensing Reconstruction by Hassan Rabah, Amira, Abbes, Mohanty, Basant Kumar, Almaadeed, Somaya, Meher, Pramod Kumar

“…In this paper, we present a novel architecture based on field-programmable gate arrays (FPGAs) for the reconstruction of compressively sensed signal using the…”
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Neural Load Disaggregation: Meta-Analysis, Federated Learning and Beyond by Bousbiat, Hafsa, Himeur, Yassine, Varlamis, Iraklis, Bensaali, Faycal, Amira, Abbes

“…Non-intrusive load monitoring (NILM) techniques are central techniques to achieve the energy sustainability goals through the identification of operating…”
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Achieving Domestic Energy Efficiency Using Micro-Moments and Intelligent Recommendations by Alsalemi, Abdullah, Himeur, Yassine, Bensaali, Fayal, Amira, Abbes, Sardianos, Christos, Varlamis, Iraklis, Dimitrakopoulos, George

“…Excessive domestic energy usage is an impediment towards energy efficiency. Developing countries are expected to witness an unprecedented rise in domestic…”
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Compressive Sensing-Based IoT Applications: A Review by Djelouat, Hamza, Amira, Abbes, Bensaali, Faycal

“…The Internet of Things (IoT) holds great promises to provide an edge cutting technology that enables numerous innovative services related to healthcare,…”
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Point-Denoise: Unsupervised outlier detection for 3D point clouds enhancement by Regaya, Yousra, Fadli, Fodil, Amira, Abbes

“…3D point cloud denoising is an increasingly demanding field as such type of data structure is getting more attention in perceiving the 3D environment for…”
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A Hybrid Feature Selection Method for Complex Diseases SNPs by Alzubi, Raid, Ramzan, Naeem, Alzoubi, Hadeel, Amira, Abbes

“…Machine learning techniques have the potential to revolutionize medical diagnosis. Single Nucleotide Polymorphisms (SNPs) are one of the most important sources…”
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MLP Neural Network Based Gas Classification System on Zynq SoC by Xiaojun Zhai, Ali, Amine Ait Si, Amira, Abbes, Bensaali, Faycal

“…Systems based on wireless gas sensor networks offer a powerful tool to observe and analyze data in complex environments over long monitoring periods. Since the…”
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