Browsing by Author "Alsalemi, Abdullah"
Now showing items 1-20 of 52
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A High-Realism and Cost-Effective Training Simulator for Extracorporeal Membrane Oxygenation
Alsalemi, Abdullah; Alhomsi, Yahya; Bensaali, Faycal; Hssain, Ali Ait ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)Medical simulators, employed in extracorporeal membrane oxygenation (ECMO), are burdened with costly equipment and low-fidelity methodologies. This dichotomy necessitated a new approach that eliminates high-costs and ... -
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 review of human circulatory system simulation: Bridging the gap between engineering and medicine
Mahmoud, Abdulrahman; Alsalemi, Abdullah; Bensaali, Faycal; Hssain, Ali A.; Hassan, Ibrahim ( MDPI , 2021 , Article)(1) Background: Simulation-based training (SBT) is the practice of using hands-on training to immerse learners in a risk-free and high-fidelity environment. SBT is used in various fields due to its risk-free benefits from ... -
A skills acquisition study on ECMOjo: a screen-based simulator for extracorporeal membrane oxygenation
Alsalemi, Abdullah; Tanaka, Len; Ogino, Mark; Disi, Mohammed Al; Alhomsi, Yahya; Bensaali, Faycal; Amira, Abbes; Alinier, Guillaume... more authors ... less authors ( SAGE Publications Ltd , 2020 , Article)Background: Extracorporeal membrane oxygenation relies heavily on didactic teaching, emphasizing on essential cognitive skills, but overlooking core behavioral skills such as leadership and communication. Therefore, ... -
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 ... -
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 ... -
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 ... -
Assessing Learning Outcomes in Extracorporeal Membrane Oxygenation Simulations with a Novel Simulator and Instructor Application
Alsalemi, Abdullah; Alhomsi, Yahya; Bensaali, Faycal; Alinier, Guillaume; Hssain, Ali Ait ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)Simulation plays an important part in enhancing the outcomes of clinical training worldwide. In particular, extracorporeal membrane oxygenation (ECMO) is a life-saving procedure that utilizes a cardiopulmonary bypass circuit ... -
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 ... -
Boosting domestic energy efficiency through accurate consumption data collection
Alsalemi, Abdullah; Ramadan, Mona; Bensaali, Faycal; Amira, Abbes; Sardianos, Christos; Varlamis, Iraklis; Dimitrakopoulos, George... more authors ... less authors ( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference Paper)Domestic user behavior shapes overall power consumption, necessitating the development of systems that analyze and help foster energy efficient behavior. The most important step in the process is the collection and management ... -
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, ... -
CouchDB Based Real-Time Wireless Communication System for Clinical Simulation
Alhomsi, Yahya; Alsalemi, Abdullah; Al Disi, Mohammed; Bensaali, Faycal; Amira, Abbes; Alinier, Guillaume... more authors ... less authors ( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference Paper)Medical simulators are advancing in technology and complexity to enhance realism and hence implementing a real-time communication system for such simulators is a challenge that engineers face. This paper follows up on the ... -
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 ...