The book's core argument is that an artificial intelligence that could equal or exceed human
intelligence—sometimes called artificial general intelligence (AGI)—is for mathematical …

Feature selection can effectively define the feature subset, remove redundant, irrelevant,
and noisy features. In order to adapt the feature selection problem, this paper adopts role …

Variability is a prominent feature of behavior and is an active element of certain behavioral
strategies. To understand how neuronal circuits control variability, we examined the …

The optimal reactive power dispatch (ORPD) problem is an important issue to assign the
most efficient and secure operating point of the electrical system. The ORPD became a …

With the influx of complex and detailed tracking data gathered from electronic tracking
devices, the analysis of animal movement data has recently emerged as a cottage industry …

Recent work on exploration in reinforcement learning (RL) has led to a series of increasingly
complex solutions to the problem. This increase in complexity often comes at the expense of …

Abstract Marine Predators Algorithm (MPA) is the existing population-based meta-heuristic
algorithms that falls under the category of Nature-Inspired Optimization Algorithm (NIOA) …

The principal contribution of this article focusing on obtaining a precise model of the lithium-
ion battery (LiB). This in fact affects the simulation analyses and dynamics of such batteries …

Numerous neurodegenerative and psychiatric disorders are associated with deficits in
executive functions such as working memory and cognitive flexibility. Progress in developing …

We propose here a motivation for a mixed local/nonlocal problem with a new type of
Neumann condition. Our description is based on formal expansions and approximations. In …