Deep Learning (DL) has emerged as a pivotal modelling tool in various domains because of
its proficiency in learning distributed representations. Numerous DL algorithms have …

Anomaly detection is a topic of interest in several areas, ranging from Industry 4.0 to Energy
Management, Smart Agriculture, Cybersecurity, and Bioinformatics. In a wide sense …

The optimal control strategy is considered a promising solution to reduce the energy
consumption of cooling supply systems in data centers. The strategy is mainly based on …

Automated agricultural machinery has advanced significantly in the previous ten years;
however, the ability of such robots to operate safely will be critical to their commercialization …

Due to current global population growth, resource shortages, and climate change, traditional
agricultural models face major challenges. Precision agriculture (PA), as a way to realize the …

This paper delivers an exhaustive analysis of the fusion of multi-sensor technologies,
including traditional sensors such as cameras, Light Detection and Ranging (LiDAR), Radio …

Manufacturing industries require the efficient and voluminous production of high-quality
finished goods. In the context of Industry 4.0, visual anomaly detection poses an optimistic …

Background In the current genomic era, gene expression datasets have become one of the
main tools utilized in cancer classification. Both curse of dimensionality and class imbalance …

A shield machine (SM) is a complex mechanical device used for tunneling. Traditional
methods of monitoring SM working conditions relied on artificial experience, which was …

Agrotoxins, such as agrochemical residues and mycotoxins, pollute the environment and
have potentially adverse effects on human life and ecosystem. Excessive use of …