Artificial Intelligence Science and Engineering (AISE)

Artificial Intelligence Science and Engineering aims to publish high-quality papers on the theory, methods, and applications of artificial intelligence engineering, and to become an important platform for interdisciplinary research related to artificial intelligence. The scope includes areas such as computational intelligence, computer vision, neural networks, genetic algorithms, machine learning, fuzzy systems, cognitive systems, decision making, and robotics. In addition, it also includes works contributing to the theme of artificial Intelligence and applications. This journal includes but is not limited to the following aspects. AI and automation in business processes Intelligent robotics Machine learning Deep learning Reinforcement learning Pattern recognition Artificial neural networks Computer vision Explainable AI Natural language processing Knowledge-based reasoning Applications of AI Ethics in AI Evolving AI regulation AI for robotic aircraft control Agentic AI AI in data analysis and decision making AI in autonomous systems AI and automation in business processes Brain simulation techniques in AI AI for cybersecurity AI for customer service Data mining Creating elearning recommender systems using NLP Financial forecasting and risk management using AI Anomaly detection AI in healthcare Speech recognition AI for sustainability

Artificial Intelligence Science and Engineering (AISE) is :-

• International, Peer-Reviewed, Open Access, Refereed, AI for cybersecurity, Data mining, Financial forecasting and risk management using AI, AI for sustainability, AI for robotic aircraft control, Applications of AI , Print , Quarterly Journal

• UGC Approved, ISSN Approved: P-ISSN P-ISSN: 2097-5104, Established: 2024,
• Provides Crossref DOI

• Not indexed in Scopus, WoS, DOAJ, PubMed, UGC CARE