To combat cyber threats in the smart grid, an intrusion detection system can be integrated
into the advanced metering infrastructure. Anomaly‐based intrusion detection can detect …

This research introduces an algorithmic framework for enhancing the security of Internet of
Things (IoT) networks. The Enhanced Anomaly Detection (EAD) algorithm initiates the …

Cloud forensics is an extension of contemporary forensic science that guards against
cybercriminals. However, consolidated data assortment and storage compromise the …

Age and human activity are eroding old masonry constructions. Historic buildings need
regular examination and care to maintain their integrity; Visual inspection is expensive, time …

Stereo depth estimation has become an attractive topic in the computer vision field. Although
various algorithms strive to optimize the speed and the precision of estimation, the energy …

The Deep Raman Enhance method uses deep neural networks to improve near-field
Raman spectroscopy. This allows for higher quality signals, lower noise levels, and the …

The requirement for strong defenses against complex adversarial assaults is increasing fast
in the constantly evolving AI ecosystem. Considering this need, we put up the Explain …

There has been a significant change in the management and operation of buildings as a
result of the incorporation of Distributed Intelligence into Building Management Systems …

To identify copy-move image counterfeiting, this work proposes a new feature extraction
approach based on a modified Gabor filter and a Center Symmetric Local Binary Pattern …

Accurate Vocal Anomaly Detection (AVAD) has emerged as a critical area of research with
far-reaching implications for healthcare, security, and human-computer interaction. This …