Deep neural networks (DNNs) have been pervasively used in many areas, eg, computer
vision, speech recognition, natural language processing, etc. However, recent works show …

Predicting and classifying faults in electricity networks is crucial for uninterrupted provision
and kee** maintenance costs at a minimum. Thanks to the advancements in the field …

Lithium-ion (Li-ion) batteries are the primary power source in various applications due to
their high energy and power density. Their market was estimated to be up to 48 billion US …

The growing integration of vehicles with external networks has led to a surge in attacks
targeting their Controller Area Network (CAN) internal bus. As a countermeasure, various …

Speaker recognition system (SRS) serves as the gatekeeper for secure access, using the
unique vocal characteristics of individuals for identification and verification. SRS can be …

Machine learning models trained on tabular data are vulnerable to adversarial attacks, even
in realistic scenarios where attackers have access only to the model's outputs. Researchers …

Smart grids are critical for addressing the growing energy demand due to global population
growth and urbanization. They enhance efficiency, reliability, and sustainability by …

Autonomous driving is a research direction that has gained enormous traction in the last few
years thanks to advancements in Artificial Intelligence (AI). Depending on the level of …