Among various calamities, conflagrations stand out as one of the most-prevalent and-
menacing adversities, posing significant perils to public safety and societal progress …

Autonomous systems need to process large-scale sparse and irregular point clouds with
limited compute resources. Consequently it is essential to develop LiDAR perception …

Smart glasses are rapidly gaining advanced functionality thanks to cutting-edge computing
technologies, accelerated hardware architectures, and tiny AI algorithms. Integrating AI into …

Recently, the upsurge in accidents is caused due to driver drowsiness arises due to lack of
sleep, fatigue and other health factors. The drowsiness leads to mortality, loss of properties …

Deep Learning has garnered significant attention in the field of object detection and is
widely used in both industry and everyday life. The objective of this study is to investigate the …

Resource recommendation system is a new type of management system, which uses
personalized information to solve business needs such as customer consultation and …

Stochastic configuration networks (SCNs), possessing sound generalization performance
and low computational burden, have been extensively investigated in data analysis field. But …

Different types of wear particles in lubricating oil are crucial information sources for
describing wear properties of rotating machinery components. Solving the problem of …

Image-level weakly supervised object detection (WSOD) has made significant
advancements by employing multiple instance learning (MIL) as a fundamental approach …

Checking the condition of eggs suitable for consumption can be done manually by soaking
the eggs in water. In addition, the examination of the condition of the eggs can also be done …