AI-big data analytics for building automation and management systems: a survey, actual challenges and future perspectives

Y Himeur, M Elnour, F Fadli, N Meskin, I Petri… - Artificial Intelligence …, 2023 - Springer
In theory, building automation and management systems (BAMSs) can provide all the
components and functionalities required for analyzing and operating buildings. However, in …

A comprehensive review of recent research trends on unmanned aerial vehicles (uavs)

K Telli, O Kraa, Y Himeur, A Ouamane, M Boumehraz… - Systems, 2023 - mdpi.com
The growing interest in unmanned aerial vehicles (UAVs) from both the scientific and
industrial sectors has attracted a wave of new researchers and substantial investments in …

[HTML][HTML] Deep and transfer learning for building occupancy detection: A review and comparative analysis

AN Sayed, Y Himeur, F Bensaali - Engineering applications of artificial …, 2022 - Elsevier
The building internet of things (BIoT) is quite a promising concept for curtailing energy
consumption, reducing costs, and promoting building transformation. Besides, integrating …

A survey on trustworthy recommender systems

Y Ge, S Liu, Z Fu, J Tan, Z Li, S Xu, Y Li, Y Xian… - ACM Transactions on …, 2022 - dl.acm.org
Recommender systems (RS), serving at the forefront of Human-centered AI, are widely
deployed in almost every corner of the web and facilitate the human decision-making …

Filter bubbles in recommender systems: Fact or fallacy—A systematic review

QM Areeb, M Nadeem, SS Sohail… - … : Data Mining and …, 2023 - Wiley Online Library
A filter bubble refers to the phenomenon where Internet customization effectively isolates
individuals from diverse opinions or materials, resulting in their exposure to only a select set …

Toward a comprehensive framework for ensuring security and privacy in artificial intelligence

W Villegas-Ch, J García-Ortiz - Electronics, 2023 - mdpi.com
The rapid expansion of artificial intelligence poses significant challenges in terms of data
security and privacy. This article proposes a comprehensive approach to develop a …

Deep transfer learning for intrusion detection in industrial control networks: A comprehensive review

H Kheddar, Y Himeur, AI Awad - Journal of Network and Computer …, 2023 - Elsevier
Globally, the external internet is increasingly being connected to industrial control systems.
As a result, there is an immediate need to protect these networks from a variety of threats …

Deep learning for steganalysis of diverse data types: A review of methods, taxonomy, challenges and future directions

H Kheddar, M Hemis, Y Himeur, D Megías, A Amira - Neurocomputing, 2024 - Elsevier
Steganography and steganalysis are two interrelated aspects of the field of information
security. Steganography seeks to conceal communications, whereas steganalysis aims to …

Deep learning for diverse data types steganalysis: A review

H Kheddar, M Hemis, Y Himeur, D Megías… - arXiv preprint arXiv …, 2023 - arxiv.org
Steganography and steganalysis are two interrelated aspects of the field of information
security. Steganography seeks to conceal communications, whereas steganalysis is aimed …

Edge AI for Internet of Energy: Challenges and perspectives

Y Himeur, A Sayed, A Alsalemi, F Bensaali, A Amira - Internet of Things, 2023 - Elsevier
The digital landscape of the Internet of Energy (IoE) is on the brink of a revolutionary
transformation with the integration of edge Artificial Intelligence (AI). This comprehensive …