ABSTRACT The Internet of Things (IoT) is a paradigm shift that enables billions of devices to
connect to the Internet. The IoT's diverse application domains, including smart cities, smart …

Anomaly detection in video surveillance is crucial but challenging due to the rarity of
irregular events and ambiguity of defining anomalies. We propose a method called AONet …

The prompt expansion of the Internet of Things (IoT) and its wide application in smart homes
and transportation has brought tremendous convenience to people's lives. However, the …

Guided ultrasonic wave (GUW) monitoring systems are gaining much attention in pipeline
condition monitoring. However, the effects of environmental and operational conditions …

Foundation scour is a critical phenomenon that may lead to the collapse of railway bridges.
This issue is even more concerning in the current scenario where extreme weather events …

The concept of weight pruning has shown success in neural network model compression
with marginal loss in classification performance. However, similar concepts have not been …

The training performance of an autoencoder is significantly affected by its loss function. In
order to improve the performance of autoencoders, it is important to design ap-propriate loss …

The absence of a vehicle shell around the motorcyclist makes the motorcycle crashes fatal
as the rider collides directly with the objects. During motorcycle crashes, when the rider is …

Pipeline condition monitoring is essential in critical sectors such as the petrochemical,
nuclear and energy sectors. The guided ultrasonic wave (GUW) monitoring system is an …

본 논문에서는 입력 데이터 특성 중 하나인 무작위도가 오토인코더의 학습 성능에 미치는
영향을 살펴본다. 가우시안 분포를 따르는 입력 데이터를 가정하여 입력 데이터의 무작위도와 …