Browsing by Author "Himeur, Yassine"
Now showing items 1-20 of 55
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A Micro-Moment System for Domestic Energy Efficiency Analysis
Alsalemi, Abdullah; Himeur, Yassine; Bensaali, Faycal; Amira, Abbes; Sardianos, Christos; Chronis, Christos; Varlamis, Iraklis; Dimitrakopoulos, George... more authors ... less authors ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)Domestic user behavior is a crucial factor guiding overall power consumption, necessitating the development of systems that analyze and help shape energy-efficient behavior. Therefore, the most important step in the process ... -
A model for predicting room occupancy based on motion sensor data
Sardianos, Christos; Varlamis, Iraklis; Chronis, Christos; Dimitrakopoulos, George; Himeur, Yassine; Alsalemi, Abdullah; Bensaali, Faycal; Amira, Abbes... more authors ... less authors ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)When designing a large scale IoT ecosystem, it is important to provide economical solutions at all levels, from sensors and actuators to the software used for analytics and orchestration. It is of equal importance to provide ... -
A Novel Approach for Detecting Anomalous Energy Consumption Based on Micro-Moments and Deep Neural Networks
Himeur, Yassine; Alsalemi, Abdullah; Bensaali, Faycal; Amira, Abbes ( Springer , 2020 , Article)Nowadays, analyzing, detecting, and visualizing abnormal power consumption behavior of householders are among the principal challenges in identifying ways to reduce power consumption. This paper introduces a new solution ... -
A survey of recommender systems for energy efficiency in buildings: Principles, challenges and prospects
Himeur, Yassine; Alsalemi, Abdullah; Al-Kababji, Ayman; Bensaali, Faycal; Amira, Abbes; Sardianos, Christos; Dimitrakopoulos, George; Varlamis, Iraklis... more authors ... less authors ( Elsevier , 2021 , Short Survey)Recommender systems have significantly developed in recent years in parallel with the witnessed advancements in both internet of things (IoT) and artificial intelligence (AI) technologies. Accordingly, as a consequence of ... -
achieving Domestic Energy Efficiency Using Micro-Moments and Intelligent Recommendations
Alsalemi, Abdullah; Himeur, Yassine; Bensaali, Fayal; Amira, Abbes; Sardianos, Christos; Varlamis, Iraklis; Dimitrakopoulos, George... more authors ... less authors ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)Excessive domestic energy usage is an impediment towards energy efficiency. Developing countries are expected to witness an unprecedented rise in domestic electricity in the forthcoming decades. a large amount of research ... -
AI-big data analytics for building automation and management systems: a survey, actual challenges and future perspectives
Himeur, Yassine; Elnour, Mariam; Fadli, Fodil; Meskin, Nader; Petri, Ioan; Rezgui, Yacine; Bensaali, Faycal; Amira, Abbes... more authors ... less authors ( Springer Nature , 2022 , Article)In theory, building automation and management systems (BAMSs) can provide all the components and functionalities required for analyzing and operating buildings. However, in reality, these systems can only ensure the control ... -
An innovative edge-based Internet of Energy solution for promoting energy saving in buildings
Alsalemi, Abdullah; Himeur, Yassine; Bensaali, Faycal; Amira, Abbes ( Elsevier , 2022 , Article)Due to the ubiquity and maturity of Artificial Intelligence (AI), it became an essential tool in the development real-time Internet of energy (IoE) solutions. Also, since cloud platforms are not being the first implementation ... -
An intelligent nonintrusive load monitoring scheme based on 2D phase encoding of power signals
Himeur, Yassine; Alsalemi, Abdullah; Bensaali, Faycal; Amira, Abbes ( John Wiley and Sons Ltd , 2021 , Article)Nonintrusive load monitoring (NILM) is the de facto technique for extracting device-level power consumption fingerprints at (almost) no cost from only aggregated mains readings. Specifically, there is no need to install ... -
Appliance identification using a histogram post-processing of 2D local binary patterns for smart grid applications
Himeur, Yassine; Alsalemi, Abdullah; Bensaali, Faycal; Amira, Abbes ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)Identifying domestic appliances in the smart grid leads to a better power usage management and further helps in detecting appliance-level abnormalities. An efficient identification can be achieved only if a robust feature ... -
Appliance-Level Monitoring with Micro-Moment Smart Plugs
Alsalemi, Abdullah; Himeur, Yassine; Bensaali, Faycal; Amira, Abbes ( Springer Science and Business Media Deutschland GmbH , 2021 , Conference Paper)Human population are striving against energy-related issues that not only affects society and the development of the world, but also causes global warming. A variety of broad approaches have been developed by both industry ... -
Applications of Machine Learning for Predicting Heart Failure
Boughorbel, Sabr; Himeur, Yassine; Salman, Huseyin Enes; Bensaali, Faycal; Farooq, Faisal; Yalcin, Huseyin Cagatay... more authors ... less authors ( Wiley , 2022 , Book chapter)Heart Failure is a major health burden for healthcare systems worldwide. Early diagnosis, prediction and management of patients with these conditions are critical to improve patient health outcome. The availability of large ... -
Artificial intelligence based anomaly detection of energy consumption in buildings: A review, current trends and new perspectives
Himeur, Yassine; Ghanem, Khalida; Alsalemi, Abdullah; Bensaali, Faycal; Amira, Abbes ( Elsevier , 2021 , Article Review)Enormous amounts of data are being produced everyday by sub-meters and smart sensors installed in residential buildings. If leveraged properly, that data could assist end-users, energy producers and utility companies in ... -
Artificial intelligence with IoT for energy efficiency in buildings
Sayed, Aya; Himeur, Yassine; Bensaali, Faycal; Amira, Abbes ( CRC Press , 2022 , Book chapter)Observing the electricity consumption nowadays may be extremely daunting; therefore, optimizing the consumers' usage is critical to ensuring the sustainability of energy resources. The employment of innovative technologies ... -
Automated liver tissues delineation techniques: A systematic survey on machine learning current trends and future orientations
Al-Kababji, Ayman; Bensaali, Faycal; Dakua, Sarada Prasad; Himeur, Yassine ( Elsevier , 2023 , Short Survey)Machine learning and computer vision techniques have grown rapidly in recent years due to their automation, suitability, and ability to generate astounding results. Hence, in this paper, we survey the key studies that are ... -
Blockchain-based recommender systems: Applications, challenges and future opportunities
Himeur, Yassine; Sayed, Aya; Alsalemi, Abdullah; Bensaali, Faycal; Amira, Abbes; Varlamis, Iraklis; Eirinaki, Magdalini; Sardianos, Christos; Dimitrakopoulos, George... more authors ... less authors ( Elsevier , 2022 , Article Review)Recommender systems have been widely used in different application domains including energy-preservation, e-commerce, healthcare, social media, etc. Such applications require the analysis and mining of massive amounts of ... -
Building power consumption datasets: Survey, taxonomy and future directions
Himeur, Yassine; Alsalemi, Abdullah; Bensaali, Faycal; Amira, Abbes ( Elsevier , 2020 , Article Review)In the last decade, extended efforts have been poured into energy efficiency. Several energy consumption datasets were henceforth published, with each dataset varying in properties, uses and limitations. For instance, ... -
Cloud energy micro-moment data classification: A platform study
Alsalemi, Abdullah; Al-Kababji, Ayman; Himeur, Yassine; Bensaali, Faycal; Amira, Abbes ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)Energy efficiency is a crucial factor in the wellbeing of our planet. In parallel, Machine Learning (ML) plays an instrumental role in automating our lives and creating convenient workflows for enhancing behavior. So, ... -
Data Analytics, Automations, and Micro-Moment Based Recommendations for Energy Efficiency
Sardianos, Christos; Varlamis, Iraklis; Chronis, Christos; Dimitrakopoulos, George; Himeur, Yassine; Alsalemi, Abdullah; Bensaali, Faycal; Amira, Abbes... more authors ... less authors ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)Energy conservation is a critical task for domestic households and office buildings, mainly because of the shortage of energy resources and the uprising contemporary environmental issues. The development of an IoT ecosystem ... -
Data fusion strategies for energy efficiency in buildings: Overview, challenges and novel orientations
Himeur, Yassine; Alsalemi, Abdullah; Al-Kababji, Ayman; Bensaali, Faycal; Amira, Abbes ( Elsevier , 2020 , Article)Recently, tremendous interest has been devoted to develop data fusion strategies for energy efficiency in buildings, where various kinds of information can be processed. However, applying the appropriate data fusion strategy ... -
Deep and transfer learning for building occupancy detection: A review and comparative analysis
Sayed, Aya Nabil; Himeur, Yassine; Bensaali, Faycal ( Elsevier , 2022 , Short Survey)The building internet of things (BIoT) is quite a promising concept for curtailing energy consumption, reducing costs, and promoting building transformation. Besides, integrating artificial intelligence (AI) into the BIoT ...