The growing volume of data from smart devices offers significant potential for machine learning, yet privacy concerns hinder centralized use. Federated Learning (FL) has emerged as a promising decentralized learning (DL) approach enabling the use of distributed data without compromising privacy. However, practical depl...
Zahid Iqbal, Fatima N. al-Aswadi, Haziqah Shamsudin et al.· IEEE Access· 2 citations
The proposed ensemble attention convolutional neural network (EACNN) first performs binary defect detection to distinguish between defective and non-defective samples, followed by a dedicated defect-type classification for fine-grained categorization that underscores EACNN’s ability to learn highly discriminative featu...
Uzma Batool, Zahid Iqbal, M. I. Shapiai et al.· PeerJ Computer Science· 1 citation
Plug-in electric vehicles (PEVs) feature rapid proliferation as a result of their low carbon emissions, reduced maintenance requirements and cost efficient operation. Nonetheless, increased penetration from PEVs poses significant challenges to distribution networks in terms of higher power losses, voltage stability and...
Mohammad Aljaidi, Rami Almatarneh, Ghassan Samara· 2026 6th International Confe...· 0 citations
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