Artificial neural networks (ANNs), which represent computational models simulating the
biological neural systems, have become a dominant paradigm for solving complex analytical …

An intelligent bionic algorithm with great global optimization potential, the genetic algorithm
evolved in a manner analogous to the natural process of genetic evolution in living …

Abstract In Artificial Intelligence, numerical optimization is an instantly rising research
domain. Swarm Intelligence (SI) and Evolutionary Algorithm (EA) are widely used to answer …

This paper shows the potential of artificial intelligence (AI) in Li-ion battery charging methods
by introducing a new charging algorithm based on artificial neural networks (ANNs). The …

Fire hawk Optimizer (FHO) is a relatively new intake in the family of evolutionary algorithms
for a distinct type of optimization problem. Initialization of the population plays a significant …

The significance of sentiment analysis has increased in modern times due to the extensive
use of social media platforms as a medium for individuals to express their opinions. Twitter is …

Sentiment analysis has become very important nowadays because there are lots of social
media platforms peoples are using to express their opinion. Twitter is one of the most …

Diabetes-related retinopathy (DR) is the primary cause of blindness in the modern world. It
affects retinal blood vessels. It causes blindness over time with no initial symptoms. Early …

The significance of vehicle identification and monitoring is increasing in the field of traffic
management. The Intelligent Transportation System (ITS) is a highly efficient way to address …

This paper shows the potential of artificial intelligence (AI) in Li-ion battery charging methods
by introducing a new charging algorithm based on artificial neural networks (ANNs). The …