In recent years, swarm intelligence optimization algorithms have been proven to have
significant effects in solving combinatorial optimization problems. Introducing the concept of …

To improve the tracking accuracy of moving targets in Non-Line-of-Sight (NLOS)
environments and reduce positioning errors, a hybrid TDOA/AOA positioning method is …

The features of the kernel extreme learning machine—efficient processing, improved
performance, and less human parameter setting—have allowed it to be effectively used to …

In modern agriculture, correctly identifying rice leaf diseases is crucial for maintaining crop
health and promoting sustainable food production. This study presents a detailed …

The adoption of deep learning (DL) and machine learning (ML) has surged in recent years
because of their imperative practicalities in different disciplines. Among these feasible …

In recent years, the prevalence of T2DM has been increasing annually, in particular, the
personal and socioeconomic burden caused by multiple complications has become …

Most accidents in a chemical process are caused by abnormal or deviations of the process
parameters, and the existing research is focused on short-term prediction. When the early …

The immune plasma algorithm (IP algorithm or IPA) is one of the most recent meta-heuristic
techniques and models the fundamental steps of immune or convalescent plasma treatment …

Wireless sensor networks (WSNs) have issues with duplication and comparatively
expensive network installation costs. A unique approach to maximizing WSN coverage is put …

Investigating saltwater intrusion is vital for optimal use of estuarine water resources.
Presently, diverse data-driven models, mainly neural network models, have been employed …