79 citations · 106 across the 9 of their papers we have counts for
10 papers
AI Radiologist: Revolutionizing Liver Tissue Segmentation with Convolutional Neural Networks and a Clinician-Friendly GUI
Ayman Al-Kababji, Faycal Bensaali, Sarada Prasad Dakua +1
Artificial Intelligence (AI) is a pervasive research topic, permeating various sectors and applications. In this study, we harness the power of AI, specifically convolutional neura…
Scheduling Techniques for Liver Segmentation: ReduceLRonPlateau Vs OneCycleLR
Ayman Al-Kababji, Faycal Bensaali, Sarada Prasad Dakua
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 scheduler…
An IoT-Based Framework for Remote Fall Monitoring
Ayman Al-Kababji, Abbes Amira, Faycal Bensaali +3
Fall detection is a serious healthcare issue that needs to be solved. Falling without quick medical intervention would lower the chances of survival for the elderly, especially if…
Automated liver tissues delineation techniques: A systematic survey on machine learning current trends and future orientations
Ayman Al-Kababji, Faycal Bensaali, Sarada Prasad Dakua +1
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…
A survey of recommender systems for energy efficiency in buildings: Principles, challenges and prospects
Yassine Himeur, Abdullah Alsalemi, Ayman Al-Kababji +5
Recommender systems have significantly developed in recent years in parallel with the witnessed advancements in both internet of things (IoT) and artificial intelligence (AI) techn…
Cloud Energy Micro-Moment Data Classification: A Platform Study
Abdullah Alsalemi, Ayman Al-Kababji, Yassine Himeur +2
Energy efficiency is a crucial factor in the well-being of our planet. In parallel, Machine Learning (ML) plays an instrumental role in automating our lives and creating convenient…
On Optimizing the Secrecy Performance of RIS-Assisted Cooperative Networks
Abdullateef Almohamad, Ayman Al-Kababji, Anas Tahir +2
Employing reconfigurable intelligent surfaces (RIS) is emerging as a game-changer candidate, thanks to their unique capabilities in improving the power efficiency and supporting th…
Energy Data Visualizations on Smartphones for Triggering Behavioral Change: Novel Vs. Conventional
Ayman Al-Kababji, Abdullah Alsalemi, Yassine Himeur +4
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…
Data fusion strategies for energy efficiency in buildings: Overview, challenges and novel orientations
Yassine Himeur, Abdullah Alsalemi, Ayman Al-Kababji +2
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, a…
Smart and Secure Wireless Communications via Reflecting Intelligent Surfaces: A Short Survey
Abdullateef Almohamad, Anas M. Tahir, Ayman Al-Kababji +4
With the emergence of the internet of things (IoT) technology, wireless connectivity should be more ubiquitous than ever. In fact, the availability of wireless connection everywher…