Additive manufacturing (AM), also known as 3D printing, is a new manufacturing trend
showing promising progress over time in the era of Industry 4.0. So far, various research has …

Additive manufacturing (AM), commonly known as 3D printing, is a rapidly growing
technology. Guaranteeing the quality and mechanical strength of printed parts is an active …

The intelligent manufacturing is a complex engineering system, and the cyber–physical
systems (CPSs) and the industrial Internet are the preliminary infrastructures. When cyber …

This study was carried out to examine the severity level of crashes by analyzing traffic
accidents. The study's goal is to identify the major contributing factors to traffic accidents in …

Spatiotemporal data from urban road traffic are pivotal for intelligent transportation systems
and urban planning. Nonetheless, missing data in traffic datasets is a common challenge …

Early warning of flood hazards needs to be carried out comprehensively to avoid a higher
risk of disaster. Every decision on early warning of a flood hazard is carried out in part by …

This study predicts traffic congestion in four US cities using various machine learning
models. The research utilizes different regression-based models to predict congestion …

Mobile Crowdsensing (MCS) is a sensing paradigm where individuals collectively perform a
sensing task using their smart devices. Sensing tasks can be classified as one-time or …

For homogeneous traffic, where all vehicles are the same type, the traffic state is
characterised by speed, flow, density, queue length, etc. In mixed traffic conditions …

The synthesis of silver nanoparticles (AgNPs) holds significant promise for various
applications in fields ranging from medicine to electronics. Accurately predicting the particle …