Faheem: A Tablet-Based Application to Improve Receptive Language for Arab Autistic Children. - Saleh Alhazbi; Amr Aboeleneen; Naheel Kamal; Mohammad Khader; Adel Azzouza; Ayman Al-Kababji; Abdulahi Hassen; Ahmad Zaza (ICCA, 2018)

IoT-Based Fall and ECG Monitoring System: Wireless Communication System Based Firebase Realtime Database. - Ayman Al-Kababji; Lisan Shidqi; Issam Boukhennoufa; Abbes Amira; Faycal Bensaali; Mohamed Sadok Gastli; Abdulah Jarouf; Walid Aboueata; Alhusain Abdalla (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2019)

Cloud Energy Micro-Moment Data Classification: A Platform Study. - Abdullah Alsalemi; Ayman Al-Kababji; Yassine Himeur; Faycal Bensaali; Abbes Amira (UCC, 2020)

On Optimizing the Secrecy Performance of RIS-Assisted Cooperative Networks. - Abdullateef Almohamad; Ayman Al-Kababji; Anas M. Tahir; Tamer Khattab; Mazen O. Hasna (VTC Fall, 2020)

Energy Data Visualizations on Smartphones for Triggering Behavioral Change: Novel Vs. Conventional. - Ayman Al-Kababji; Abdullah Alsalemi; Yassine Himeur; Faycal Bensaali; Abbes Amira; Rachael Fernandez; Noora Fetais (CoRR, 2020)

Data fusion strategies for energy efficiency in buildings: Overview, challenges and novel orientations. - Yassine Himeur; Abdullah Alsalemi; Ayman Al-Kababji; Faycal Bensaali; Abbes Amira (Inf. Fusion, 2020)

Smart and Secure Wireless Communications via Reflecting Intelligent Surfaces: A Short Survey. - Abdullateef Almohamad; Anas M. Tahir; Ayman Al-Kababji; Haji M. Furqan; Tamer Khattab; Mazen O. Hasna; Hüseyin Arslan (IEEE Open J. Commun. Soc., 2020)

An IoT-based framework for remote fall monitoring. - Ayman Al-Kababji; Abbes Amira; Faycal Bensaali; Abdulah Jarouf; Lisan Shidqi; Hamza Djelouat (Biomed. Signal Process. Control., 2021)

Automated liver tissues delineation based on machine learning techniques: A survey, current trends and future orientations. - Ayman Al-Kababji; Faycal Bensaali; Sarada Prasad Dakua (CoRR, 2021)

A survey of recommender systems for energy efficiency in buildings: Principles, challenges and prospects. - Yassine Himeur; Abdullah Alsalemi; Ayman Al-Kababji; Faycal Bensaali; Abbes Amira; Christos Sardianos; George Dimitrakopoulos 001; Iraklis Varlamis (Inf. Fusion, 2021)

Scheduling Techniques for Liver Segmentation: ReduceLRonPlateau vs OneCycleLR. - Ayman Al-Kababji; Faycal Bensaali; Sarada Prasad Dakua (ISPR, 2022)

Recent trends of smart nonintrusive load monitoring in buildings: A review, open challenges, and future directions. - Yassine Himeur; Abdullah Alsalemi; Faycal Bensaali; Abbes Amira; Ayman Al-Kababji (Int. J. Intell. Syst., 2022)

A Close-Up on the AI Radiologist Software. - Ayman Al-Kababji; Faycal Bensaali; Sarada Prasad Dakua (ICCSA (2), 2023)

Automated liver tissues delineation techniques: A systematic survey on machine learning current trends and future orientations. - Ayman Al-Kababji; Faycal Bensaali; Sarada Prasad Dakua; Yassine Himeur (Eng. Appl. Artif. Intell., 2023)

AI Radiologist: Revolutionizing Liver Tissue Segmentation with Convolutional Neural Networks and a Clinician-Friendly GUI. - Ayman Al-Kababji; Faycal Bensaali; Sarada Prasad Dakua; Yassine Himeur (CoRR, 2024)