International Journal of Artificial Intelligence CESER Publications Impact Factor

International Journal of Artificial Intelligence - Indian Society for Development and Environment Research | 2024 Cite Score:1.4 | Q4

International Journal of Artificial Intelligence With Cite Score

Cite Score and Journal Rank of International Journal of Artificial Intelligence

About: The International Journal of Artificial Intelligence is a peer-reviewed journal that focuses on advancements and innovations in the field of artificial intelligence (AI). It covers a broad spectrum of topics including AI algorithms, machine learning, natural language processing, computer vision, robotics, expert systems, knowledge representation, AI ethics, and applications of AI in various domains.
Objective:
The primary objective of the journal is to provide a platform for researchers, academics, and practitioners to publish high-quality research papers, reviews, and case studies that contribute to the understanding and development of artificial intelligence. It aims to foster collaboration and knowledge exchange among experts from academia, industry, and government sectors.
Interdisciplinary Approach:
The International Journal of Artificial Intelligence adopts an interdisciplinary approach, integrating insights and contributions from fields such as computer science, engineering, mathematics, cognitive science, neuroscience, and philosophy. This collaborative perspective enables comprehensive exploration and innovation in AI technologies and applications.
Impact:
The journal significantly impacts both academia and industry by influencing the development and deployment of AI technologies across various sectors. Its publications contribute to the advancement of AI algorithms, methodologies, and applications, supporting improvements in automation, decision-making processes, productivity, and innovation in technological solutions.
Significance:
The International Journal of Artificial Intelligence is significant in advancing the field of AI by disseminating authoritative research findings and practical insights. By publishing high-quality, peer-reviewed articles, the journal facilitates continuous improvement and innovation in AI technologies, ultimately contributing to societal benefits, economic growth, and transformative impacts in diverse fields worldwide.

Journal Home: Journal Homepage

Editor-in-Chief: Tanuja Srivastava

Scope: The International Journal of Artificial Intelligence covers a wide range of topics related to artificial intelligence (AI) and its applications. Here are key areas typically addressed in the journal:
1. Machine Learning and Deep Learning:
Supervised, unsupervised, and reinforcement learning
Neural networks architectures and algorithms
Transfer learning and domain adaptation
2. Natural Language Processing (NLP) and Understanding:
Language models and sentiment analysis
Machine translation and dialogue systems
Information retrieval and extraction
3. Knowledge Representation and Reasoning:
Semantic web and ontology engineering
Knowledge graphs and knowledge-based systems
Automated reasoning and logical inference
4. AI Applications and Systems:
AI in healthcare, finance, and other domains
Autonomous systems and robotics
AI for decision support and expert systems
5. AI Ethics and Governance:
Fairness, transparency, and accountability in AI
Ethical implications of AI technologies
AI policy and regulatory frameworks
6. Cognitive Modeling and Computational Neuroscience:
Computational models of human cognition
Brain-inspired AI algorithms and architectures
Neuro-symbolic approaches in AI
7. AI Tools, Platforms, and Applications:
Development frameworks and libraries (e.g., TensorFlow, PyTorch)
AI-driven data analytics and decision-making tools
AI integration with cloud computing and edge computing
8. Emerging Trends and Innovations:
AI for sustainability and environmental applications
Quantum AI and computing
Multi-agent systems and swarm intelligence