About the Journal

Scientific Journal of Artificial Intelligence and Blockchain Technologies (SJAIBT)

                               

The Scientific Journal of Artificial Intelligence and Blockchain Technologies, published by ResaGate Global, is a peer-reviewed, open-access journal dedicated to advancing the understanding and application of artificial intelligence (AI) and blockchain technologies. The journal provides a platform for researchers, academics, and professionals to share innovative ideas, breakthrough research, and cutting-edge solutions that address the challenges and opportunities in these dynamic fields.

Aim and Scope

The journal aims to:

  • Promote interdisciplinary research in AI and blockchain technologies.
  • Bridge the gap between theoretical research and real-world applications.
  • Encourage discussions on ethical, legal, and societal implications of AI and blockchain innovations.

Scope of the Journal

The journal’s scope includes, but is not limited to:

  • Machine learning, deep learning, and neural networks.
  • Blockchain applications in healthcare, finance, supply chain, and more.
  • Decentralized applications (dApps) and smart contracts.
  • AI in cybersecurity and data privacy.
  • Cryptography and blockchain protocols.
  • Internet of Things (IoT) integration with AI and blockchain.
  • Ethical implications and regulatory frameworks of AI and blockchain.

Subject Categories and Research Specializations

The journal welcomes original research, review articles, case studies, technical papers, conceptual studies, and short communications across a broad range of interdisciplinary subject areas related to artificial intelligence, blockchain, emerging technologies, digital transformation, and intelligent computing.

  • Artificial Intelligence: Generative AI, Explainable AI, Responsible AI, Computer Vision, Natural Language Processing, Knowledge Representation, Intelligent Agents, AI Ethics, and AI Applications.
  • Machine Learning and Deep Learning: Supervised Learning, Unsupervised Learning, Reinforcement Learning, Neural Networks, Transfer Learning, Federated Learning, Predictive Analytics, and Deep Learning Architectures.
  • Blockchain Technology: Distributed Ledger Technology, Blockchain Architecture, Consensus Mechanisms, Smart Contracts, Tokenization, Decentralized Systems, Blockchain Security, and Blockchain Governance.
  • Cybersecurity and Privacy: AI-Based Cybersecurity, Intrusion Detection, Threat Intelligence, Digital Forensics, Privacy-Preserving Computing, Identity Management, and Security Analytics.
  • Cryptography: Modern Cryptography, Post-Quantum Cryptography, Encryption Techniques, Digital Signatures, Secure Authentication, Key Management, and Cryptographic Protocols.
  • Internet of Things: Intelligent IoT Systems, Edge Computing, AI-IoT Integration, Blockchain-IoT Applications, Smart Sensors, Connected Devices, and IoT Security.
  • Healthcare and Medical Technology: AI in Healthcare, Medical Imaging, Clinical Decision Support, Digital Health, Healthcare Blockchain, Remote Monitoring, Health Data Analytics, and Personalized Healthcare.
  • Finance and FinTech: AI in Banking, Financial Prediction, Fraud Detection, Algorithmic Finance, Blockchain-Based Finance, Digital Payments, Cryptocurrency Technologies, and Financial Risk Analytics.
  • Supply Chain and Logistics: Blockchain-Based Supply Chains, Intelligent Logistics, Predictive Supply Chain Analytics, Smart Tracking, Inventory Optimization, and Secure Digital Transactions.
  • Robotics and Autonomous Systems: Intelligent Robotics, Autonomous Vehicles, Human-Robot Interaction, Robotic Perception, Reinforcement Learning, and AI-Based Autonomous Decision-Making.
  • Data Science and Big Data: Big Data Analytics, Data Mining, Predictive Modeling, Data Engineering, Knowledge Discovery, Data Visualization, and Large-Scale Data Processing.
  • Cloud and Edge Computing: Cloud AI, Edge Intelligence, Distributed Computing, Serverless Computing, Cloud Security, AI Workloads, and Edge-Based Data Analytics.
  • Smart Cities and Smart Infrastructure: Intelligent Transportation, Smart Governance, Smart Energy, Urban Analytics, Smart Buildings, Environmental Monitoring, and IoT-Based Infrastructure.
  • Education and Learning Technologies: AI in Education, Intelligent Tutoring Systems, Adaptive Learning, Learning Analytics, Educational Data Mining, Blockchain-Based Credentials, and Digital Learning Platforms.
  • Business and Management: AI-Driven Decision Support, Business Analytics, Intelligent Enterprise Systems, Digital Transformation, Technology Management, Blockchain-Based Business Models, and Organizational Innovation.
  • Environmental and Sustainability Technologies: AI for Environmental Monitoring, Climate Analytics, Sustainable Computing, Smart Resource Management, Environmental Data Analytics, and Blockchain for Sustainability.
  • Social and Ethical Dimensions: AI Ethics, Algorithmic Bias, Digital Rights, Technology Governance, Responsible Innovation, Social Impact of AI, Blockchain Regulation, and Digital Society.
  • Emerging and Interdisciplinary Technologies: Quantum Computing and AI, Digital Twins, Metaverse Technologies, Web3, Extended Reality, Neuromorphic Computing, Human-Centered AI, and AI-Blockchain Convergence.

Key Features

Double-Blind Peer Review

  • Ensures impartial and high-quality evaluations of manuscripts.

Open Access

  • Provides free and immediate access to all published articles under the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) license.

Affordable APC

  • Maintains accessibility for authors with a nominal Article Processing Charge (APC) of 4,555.00 INR / $155.

High Visibility

  • Articles are indexed in leading databases to ensure global reach and impact.

Publication Frequency

The journal publishes quarterly, with four issues per year, featuring high-quality original research articles, reviews, case studies, and short communications.

Target Audience

  • Researchers and academicians in AI and blockchain technologies.
  • Industry professionals and developers exploring real-world applications.
  • Policymakers, regulators, and ethicists interested in technological governance.

Editorial Team

The journal is managed by an expert editorial board comprising leading scholars and professionals in AI and blockchain technologies. The Editor-in-Chief ensures adherence to the journal's rigorous standards and policies.

Why Publish with Us?

  • Global Reach: Open access model ensures maximum visibility and impact.
  • Rigorous Review: High standards of peer review guarantee quality and reliability.
  • Interdisciplinary Focus: Encourages research that transcends disciplinary boundaries.
  • Support for Authors: Affordable APC and prompt editorial support make the publishing process seamless.