The article reviewed the four major Bioinspired intelligent algorithms for agricultural
applications, namely ecological, swarm-intelligence-based, ecology-based, and multi …

In the era of Internet of things (IoT), network Connection of an enormous number of
agriculture machines and service centers is an expectation. However, it will be with a …

Enhancing the exploration and exploitation phases of the metaheuristic (MH) optimization
algorithms is the key to avoiding local optima. The Manta ray foraging optimizer is a recently …

A very recent methodology of data sampling with a sub-Nyquist rate is compressive sensing
(CS). CS theory is established based on the higher sparsity of the data containing …

This paper focuses on develo** a computationally economic lightweight artificial
intelligence (AI) technology for smartphones. Until date, no commercial system is available …

In a wide range of ML applications, the training data contains privacy-sensitive information
that should be kept secure. Training the ML systems by privacy-sensitive data makes the ML …

This study presented a new multi-species binary coded algorithm, Mendelian evolutionary
theory optimization (METO), inspired by the plant genetics. This framework mainly consists …

Artificial neural networks (ANN) have a great impact on research in the field of artificial
intelligence. It has great capability besides the easy implementation, and due to that, it has …

Crossover is an important operator in genetic algorithms. Although hundreds of application
dependent and independent crossover operators exist in the literature, this chapter provides …

The construction industry is called a high-risk industry globally, and improving safety in the
construction industry has always been a significant concern in any country. A large number …