Although the applications of artificial intelligence especially deep learning had greatly
improved various aspects of intelligent manufacturing, they still face challenges for wide …

Due to advancements in Bayesian modeling, the likelihood-free posterior estimate is now
feasible. These estimation methods are crucial for a deeper understanding of simulation …

Abstract The growth of IoT (Internet of Things) devices has revolutionized several industries
and brought about novel security threats. Recognizing network anomalies that may point to …

Driver drowsiness has been identified as a major cause of roadway accidents globally.
Efficiently determining the extent of drowsiness can greatly enhance preventive measures …

By shifting the portability task away from a mobile network node and onto a mobile router,
the NEMO BS protocol has been given the green light to run by the Internet Engineering …

Mental well-being is critical to an individual's health and quality of life. It encompasses
emotional, psychological, and social dimensions, making it a complex and multifaceted …

For the proper management of Saudi Arabia's olive harvests, a key agricultural resource in
the area, the prompt and accurate detection of Olive leaf diseases is of utmost importance …

This study addresses the pressing need to enhance food production and quality by tackling
the challenge of crop pest recognition. Traditional methods for identifying crop pests are time …

A key element of contemporary computer vision, image fusion tries to improve the quality
and interpretability of images by combining complimentary data from several image sources …

Due to diverse backdrops, scale fluctuations, and a lack of annotated training data, the
identification and recognition of objects in remote sensing images present major problems …