With the rapid advancements and notable achievements across various application
domains, Machine Learning (ML) has become a vital element within the Internet of Things …

Cyber-physical systems (CPS) are increasingly relying on machine learning (ML)
techniques to reduce labor costs and improve efficiency. However, the adoption of ML also …

Abstract The application of Deep Neural Networks (DNNs) for monitoring cyberattacks in
Internet of Things (IoT) systems has gained significant attention in recent years. However …

Anomaly-based intrusion detection systems identify the computer network behavior which
deviates from the statistical model of typical network behavior. Binary classifiers based on …

Machine Learning (ML)-based Intrusion Detection Systems (IDS) is an effective technology
to automatically detect cyber attacks in the Internet of Things (IoT) dependent Industrial …

As we navigate the digital era of the 21st century, cyber security has grown into a pressing
societal issue that requires innovative, cutting-edge solutions. In response to this pressing …

Energy price and availability have become an urgent global challenge. Manufacturers need
to model and reduce energy consumption and cost. To enable energy smart manufacturing …

Rapid advancements in connected and autonomous vehicles (CAVs) are fueled by
breakthroughs in machine learning, yet they encounter significant risks from adversarial …

Abstract The Internet of Medical Things (IoMT) promises transformative benefits for patient
care and remote monitoring but raises significant security and privacy concerns. Ensuring …

Awal mulanya, algoritma hanya dipakai untuk solusi penyelesaian persamaan matematika
sederhana, seperti aljabar, aritmatika, probabilitas, dan lainnya yang lebih banyak …