The primary objective of the Technoarete Transactions on Endocrinology and Metabolism is to serve as a comprehensive, open-access platform that is dedicated solely to facilitating the progress and advancement of the field of Artificial Intelligence & Machine Learning by -
● offering gifted and talented researchers engaged within the domain of Artificial Intelligence & Machine Learning a unique setting for them to get their work published and elevate their reputations/standing within the global community, as well as,
● providing professionals, students, academics, and scholars free access to the latest and most advanced research outcomes, findings, and studies, being carried out in the field of Artificial Intelligence & Machine Learning, all across the world.
Soft computing
Fuzzy Logic
Artificial Neural Networks
Evolutionary Computing
Artificial Intelligence and Machine Learning
Artificial Immune Systems
Probabilistic Methods
Cognitive Robotics
Data mining
Computational Intelligence Methods for Bioinformatics and Biostatistics
Other emerging topics in Computational Intelligence
Nanobioscience
Information Forensics and technology
Nanotechnology
Cybersecurity
Big Data
Bioengineering and Biotechnology
Computational Neuroscience