Journal of Artificial Intelligence and Soft Computing Techniques (JAIST) is an open-access journal, that publishes articles covering fundamental and applied research in all disciplines of artificial intelligence mainly focusing on Artificial Intelligence, Philosophy, Machine Learning, Natural Language Processing, Neural networks, fuzzy systems, neuro-fuzzy systems, Deep learning, and real-world applications.
Journal of Artificial Intelligence and Soft Computing Techniques (JAIST) aims at rapid publication of high quality works, while maintaining rigorous peer-review process. All accepted papers will be appeared online immediately.
Ernst & Young (EY) United states...
Associate Devops Consultant Amazon Web Services...
Navigation College Jimei University Chin...
Unidentified Aerial Phenomena" (UAP) describe aerial objects that cannot be identified or explained. These phenomena have been the subject of significant interest, investigation, as governments and scientific communities
B. ZhilyaevIn this paper we develop physics informed neural network model to obtain parameters of the multimeter design. We design the voltage and current of the multimeter
Vishal VR NandiganaNowadays, the consulting industry plays a critical role in ensuring customer satisfaction, as the quality of the services it offers directly impacts customer loyalty and business success.
Mehmet Fatih AkayTraditional Type-1 and Type-2 fuzzy systems face limitations in addressing complex uncertainties. To overcome these challenges, a novel framework integrating the Interval Type-3 Fuzzy System
Jian TangThe problem of the loss of validity of electronic signature certificates over time is considered and two ways of solving the problem are proposed
Andrey ShcherbakovThe advent of 5G networks has revolutionized mobile communication, promising unprecedented data rates and connectivity
Pravin IngaleDesigning a bat-inspired echolocation system for tasks such as navigation and hunting in noisy environments carriages a complex challenge
Syed Asif AliThis research aims to design an enhanced Diabetic Retinopathy Detection System using optimized Hyper Heuristic Model. With the growing significance of Diabetic Retinopathy Detection
M. Asif Shaikh