Browsing by Author "Al-Kababji, Ayman"
Now showing items 1-11 of 11
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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 ... -
An IoT-based framework for remote fall monitoring
Al-Kababji, Ayman; Amira, Abbes; Bensaali, Faycal; Jarouf, Abdulah; Shidqi, Lisan; Djelouat, Hamza... more authors ... less authors ( Elsevier , 2021 , Article)Fall detection is a serious healthcare issue that needs to be solved. Falling without quick medical intervention would lower elderly's chances of survival, especially if living alone. Hence, the need is there for developing ... -
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 ... -
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 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 ... -
Energy Data Visualizations on Smartphones for Triggering Behavioral Change: Novel Vs. Conventional
Al-Kababji, Ayman; Alsalemi, Abdullah; Himeur, Yassine; Bensaali, Faycal; Amira, Abbes; Fernandez, Rachael; Fetais, Noora... more authors ... less authors ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)This paper conveys the importance of using suitable data visualizations for electrical energy consumption and the effect it carries on reducing said consumption. Data visualization tools construct an important pillar in ... -
Interactive visual study for residential energy consumption data
Al-Kababji, Ayman; Alsalemi, Abdullah; Himeur, Yassine; Fernandez, Rachael; Bensaali, Faycal; Amira, Abbes; Fetais, Noora... more authors ... less authors ( Elsevier , 2022 , Article)Interactive data visualization tools for residential energy data are instrumental indicators for analyzing end user behavior. These visualizations can be used as continuous home feedback systems and can be accessed from ... -
Iot-based fall and ecg monitoring system: Wireless communication system based firebase realtime database
Al-Kababji, Ayman; Shidqi, Lisan; Boukhennoufa, Issam; Amira, Abbes; Bensaali, Faycal; Gastli, Mohamed Sadok; Jarouf, Abdulah; Aboueata, Walid; Abdalla, Alhusain... more authors ... less authors ( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference Paper)Monitoring elderlies living alone has been a rising issue that caregivers are interested in solving since many elderlies are at risk of experiencing a fall. In the absence of urgent help, serious consequences may occur. ... -
Recent trends of smart nonintrusive load monitoring in buildings: A review, open challenges, and future directions
Himeur, Yassine; Alsalemi, Abdullah; Bensaali, Faycal; Amira, Abbes; Al-Kababji, Ayman ( John Wiley and Sons Ltd , 2022 , Article)Smart nonintrusive load monitoring (NILM) represents a cost-efficient technology for observing power usage in buildings. It tackles several challenges in transitioning into a more effective, sustainable, and digital energy ... -
Scheduling Techniques for Liver Segmentation: ReduceLRonPlateau vs OneCycleLR
Al-Kababji, Ayman; Bensaali, Faycal; Dakua, Sarada Prasad ( Springer Science and Business Media Deutschland GmbH , 2022 , Conference Paper)Machine learning and computer vision techniques have influenced many fields including the biomedical one. The aim of this paper is to investigate the important concept of schedulers in manipulating the learning rate (LR), ... -
Segmenting Liver Volume for Surgical Analysis
Al-Kababji, Ayman Jamal; Bensaali, Faycal; Dakua, Sarada Prasad ( Qatar University Press , 2021 , Poster)Introduction: Almost two million people worldwide die annually due to hepatic-related diseases. Half of these diseases are attributed to cirrhosis and the other half are related to hepatitis and hepatocellular carcinoma ...