Journal of Artificial Intelligence and Soft Computing Techniques (JAIST)
Journal Metrics
ISSN: 3066-5655
DOI: 10.17303
Impact Factor: 4.6
Peer Review: Double Blind
Fastrack Publication: Yes
Digital Preservation: Portico
Archive
Vol-02 | Issue-2-2025

Observations and Characteristics of Unidentified Aerial Phenomena

Unidentitued 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.

pdf

Physics Informed Neural Network to Understand Multimeter

In this paper we develop physics informed neural network model to obtain parameters of the multimeter design. We design the voltage and current

pdf
Vol-02 | Issue-1-2025

Optimizing Energy Efficiency in 5G Small Cells with Machine Learning

The advent of 5G networks has revolutionized mobile communication, promising unprecedented data rates and connectivity

pdf

Optimizing Bat-Inspired Navigation Systems with Automata-Based Theory

Designing a bat-inspired echolocation system for tasks such as navigation and hunting in noisy environments carriages a complex challenge

pdf

Optimized Hyper Heuristic Model for Efficient Diabetic Retinopathy Detection Using Deep Learning

This research aims to design an enhanced Diabetic Retinopathy Detection System using optimized Hyper Heuristic Model.

pdf
Vol-01 | Issue-2-2024

Responsible Data Science in Medical Contexts: Ensuring Ethical and Secure Data Handling

While AI demonstrates remarkable potential, its application in sensitive domains, especially healthcare,

pdf

The Industry Similarity in Input-Output System of China in 1981-1995: Application of Dual Scaling and Fuzzy Clustering

Leontief input-output model is a kind of powerful tools to classify and interpret structure.

pdf

Utilizing GANs for the Creation of Privacy-Safe Synthetic Datasets - Exploring the Application of Design Adversarial Networks in the Generation of Synthetic Datasets that Comply with Privacy Regulations

AI models in producing manufactured understanding information and examine their employments, preferences, and challenges in clinical hone.

pdf
Vol-01 | Issue-1-2024

In Pursuit of an Expert Artificial Intelligence System: Reproducing Human Physicians Diagnostic Reasoning and Triage Decision Making

A primary objective in the development of anrtifical intelligence (AI) system should be to replicate an expert physician’s thought process.

pdf

The Intersection of Artificial Intelligence and Contemporary Web Development: A New Era in User Interaction

This paper delves deeply into the implications of AI's incorporation into contemporary web development for user experience

pdf

Scalability of Data Science Algorithms: Empowering Big Data Analytics

Scalable data science algorithms are required in the dynamic field of big data analytics due to the exponential growth of data, in order to effciently extract valuable insights.

pdf

Journal of Artificial Intelligence and Soft Computing Techniques

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.

Editorial Board

Mohanarangan Veerappermal Devarajan
Mohanarangan Veerappermal Devarajan

Ernst & Young (EY) United states...

Rama Krishna Mani Kanta Yalla
Rama Krishna Mani Kanta Yalla

Associate Devops Consultant Amazon Web Services...

Qiong Chen
Qiong Chen

Navigation College Jimei University Chin...

Know More

Recent Article

Observations and Characteristics of Unidentified Aerial Phenomena

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. Zhilyaev
Physics Informed Neural Network to Understand Multimeter

In 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 Nandigana
Development of Machine Learning Based staff-Task Matching Models for Consulting Sector

Nowadays, 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 Akay
Interval Type-3 Fuzzy Broad Learning System with Its Application in Uncertain System Regression Modeling

Traditional 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 Tang
The Problem of Loss of Validity of an Electronic Signature with a Certificate: Problems and Solutions

The problem of the loss of validity of electronic signature certificates over time is considered and two ways of solving the problem are proposed

Andrey Shcherbakov
Optimizing Energy Efficiency in 5G Small Cells with Machine Learning

The advent of 5G networks has revolutionized mobile communication, promising unprecedented data rates and connectivity

Pravin Ingale
Optimizing Bat-Inspired Navigation Systems with Automata-Based Theory

Designing a bat-inspired echolocation system for tasks such as navigation and hunting in noisy environments carriages a complex challenge

Syed Asif Ali
Optimized Hyper Heuristic Model for Efficient Diabetic Retinopathy Detection Using Deep Learning

This 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