With the galloping progress of the Internet of Things (IoT) and related technologies in
multiple facets of science, distribution environments, namely cloud, edge, fog, Internet of …

The battery system, as the core energy storage device of new energy vehicles, faces
increasing safety issues and threats. An accurate and robust fault diagnosis technique is …

Carbon peaking and carbon neutrality, which are the significant national strategy for
sustainable development, have attracted considerable attention from production enterprises …

This paper provides a novel intelligent scheduling strategy for a real-world transportation
dynamic scheduling case from an engine workshop of general motor company (GMEW) …

A distributed flow-shop scheduling problem with lot-streaming that considers completion
time and total energy consumption is addressed. It requires to optimally assign jobs to …

Introduction The main feature selection methods include filter, wrapper-based, and
embedded methods. Because of its characteristics, the wrapper method must include a …

As environmental problems are increasingly challenging and sustainable development win
support among the people, the energy-efficient hybrid flow-shop scheduling problem …

The effective analytical processing of pathological images is crucial in promoting the
development of medical diagnostics. Based on this matter, in this research, a multi-level …

The robustness of landslide prediction models has become a major focus of researchers
worldwide. We developed two novel hybrid predictive models that combine the self …

Abstract Nowadays, Artificial Intelligence (AI) based modeling is the major consideration to
build efficient, automated, and smart systems for our today's needs. Many companies are …