Neural networks have proven to be a highly effective tool for solving complex problems in
many areas of life. Recently, their importance and practical usability have further been …

Human activity recognition (HAR) and abnormal/anomaly detection have significant
applications for health monitoring in a smart environment. Abnormal/anomaly prediction …

Biorefineries are designed to utilize a combination of various technologies to transform
biomass derived raw materials into different value-added products. This strategy has been …

Biomass consists of predominantly a biochemical mixture of three major lignocellulosic
components: hemicellulose, cellulose, and lignin. The amounts of these three major …

Forecasting stock market via historical financial data is an important issue for market
participants because even if the prediction accuracy is only slightly improved, better trading …

Voice Activity Detection (VAD) is a widely used technique for separating vocal regions from
audio signals, with applications in voice language coding, noise reduction, and other …

Tracking and segmenting small targets in remote sensing videos on edge devices carries
significant engineering implications. However, many semi-supervised video object …

Automated reflected light optical microscopy represents an alternative and affordable
technique compared to automated scanning electron microscopy for quantitative …

A primary problem affecting the sustainable development of aquaculture is fish skin
diseases. In order to prevent the outbreak of fish diseases and to provide prompt treatment …

Recent advances in computing power devoted to Computational Fluid Dynamics (CFD)
have opened up a new avenue for addressing the turbulence closure problem through …