Browsing by Author "Sohail, Shahab Saquib"
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Exploring 2D Representation and Transfer Learning Techniques for People Identification in Indoor Localization
Kerdjidj, Oussama; Himeur, Yassine; Atalla, Shadi; Copiac, Abigail; Sohail, Shahab Saquib; Fadli, Fodil; Amira, Abbes; Mansoor, Wathiq; Gawanmeh, Amjad... more authors ... less authors ( Institute of Electrical and Electronics Engineers Inc. (IEEE) , 2023 , Conference Paper)Indoor localization is a crucial aspect of various disciplines in our daily lives. It enables efficient administration tasks and improves safety by identifying the position of items or people inside spaces, making it useful ... -
An innovative deep anomaly detection of building energy consumption using energy time-series images
Abigail, Copiaco; Himeur, Yassine; Amira, Abbes; Mansoor, Wathiq; Fadli, Fodil; Atalla, Shadi; Sohail, Shahab Saquib... more authors ... less authors ( Elsevier , 2023 , Article)Deep anomaly detection (DAD) is essential in optimizing building energy management. Nonetheless, most existing works concerning this field consider unsupervised learning and involve the analysis of sensor readings through ... -
Latest trends of security and privacy in recommender systems: A comprehensive review and future perspectives
Himeur, Yassine; Sohail, Shahab Saquib; Bensaali, Faycal; Amira, Abbes; Alazab, Mamoun ( Elsevier , 2022 , Article Review)With the widespread use of Internet of things (IoT), mobile phones, connected devices and artificial intelligence (AI), recommender systems (RSs) have become a booming technology because of their capability to analyze big ... -
Recommendation System Towards Residential Energy Saving Based on Anomaly Detection
Atalla, Shadi; Himeur, Yassine; Mansoor, Wathiq; Amira, Abbes; Fadli, Fodil; Copiaco, Abigail; Sohail, Shahab Saquib... more authors ... less authors ( Institute of Electrical and Electronics Engineers Inc. (IEEE) , 2022 , Conference Paper)This paper presents a recommender system to promote energy consumption reduction behaviors in residential buildings. The system exploits data stream processing methods jointly with machine learning algorithms on real-time ...