With the galloping progress of the changing climates all around the world, Machine Learning (ML) approaches have been prevalently studied in many types of research in this area. ML is a robust tool for acquiring perspectives ...

This chapter primarily focuses on the progress in depression precision medicine with specific emphasis on the integrative approaches that include artificial intelligence and other data, tools, and technologies. After the ...

How can blockchain and AI revolutionise carbon trading? This article explores this question by reviewing the literature on blockchain's potential to create smart contracts for carbon trading. It also illustrates step-by-step ...

How can blockchain and AI revolutionise carbon trading? This article explores this question by reviewing the literature on blockchain's potential to create smart contracts for carbon trading. It also illustrates step-by-step ...

This paper deals not only with pointwise and uniform convergence but also Y-valued fractional approximation results by univariate symmetrized neural network (SNN) operators on Banach space Y,.. Moreover, our main motivation ...

BackgroundThe field of artificial intelligence (AI) has experienced considerable growth in recent years, with the advent of technologies that are transforming a range of industries, including healthcare and dentistry. Large ...

Meta-Heuristic (MH) algorithms have gained prominence in computer vision and image processing due to their efficacy in solving complicated, high-dimensional optimization challenges. This review study thoroughly evaluates ...