This research develops a novel method that incorporates a robust spatiotemporal learning model that uses an Extreme Inception Network (XceptionNet) architecture to extract spatial features, a Bidirectional Long Short-Term Memory (BiLSTM) network for temporal sequence learning, and a temporal attention mechanism for ada...
Abdullah Alhejaili, Muhammad Binsawad· Electronics· 0 citations
A Deterministic Procedure-Aware bilingual Retrieval-Augmented Generation (DPAM-RAG) model, which can be highly beneficial in designing religious advisory systems and integrates dataset modeling, procedure-aware chunking, bilingual alignment, and deterministic transformer-based response generation.
Abdullah Bin Sawad, Muhammad Binsawad· Applied Sciences· 0 citations
With the proliferation of internet-connected infrastructures and the complexity of cyberattacks, cybersecurity and intelligent intrusion detection systems have become more and more critical. Intrusion detection datasets, however, are now highly imbalanced, and conventional machine learning models have become biased tow...
Muhammad Binsawad· Electronics· 0 citations
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