In the last few years, intensive research has been done to enhance artificial intelligence (AI)
using optimization techniques. In this paper, we present an extensive review of artificial …

Healthcare system is undergoing a significant transformation from a traditional hospital-
centered to an individual-centered one, as a result of escalating chronic diseases, ageing …

The performance of the well-known particle swarm optimization (PSO) method can be
improved by minimizing the possibility of premature convergence in a local minimum. We …

Abstract Machine-learning (ML) methods often utilized in applications like computer vision,
recommendation systems, natural language processing (NLP), as well as user behavior …

Vermicular graphite cast iron is not used widely because of the challenges associated with
to processing. This study investigates the tool wear morphology and main wear mechanism …

Anaerobic digestion (AD) is an established technology for resource recovery and renewable
energy production. However, its performance is dictated by diverse variables including …

Nature-inspired optimization algorithms have received more and more attention from the
researchers due to their several advantages. Genetic algorithm (GA) is one of such bio …

Decision making and planning have long relied heavily on AI-driven forecasts. The
government and the general public are working to minimize the risks while maximizing …

The secondary users can opportunistically use the channels in such a way that there is no
interference to primary users' communications in cognitive radio networks. The optimization …

The transient electromagnetic (TEM) method is widely used in shallow surface engineering
geological surveys due to its advantages such as light weight, high efficiency, and strong …