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International Journal Of Advances In Artificial Intelligent Trends (IJAIT)

Explore our scholarly publication dedicated to advancing research and innovation

International Journal Of Advances In Artificial Intelligent Trends (IJAIT)

International Journal Of Advances In Artificial Intelligent Trends (IJAIT)

The International Journal of Advances in Artificial Intelligent Trends (IJAIT) is a leading scholarly publication dedicated to advancing the field of artificial intelligence (AI) by exploring and disseminating the latest trends, advancements, and research findings. IJAIT serves as a platform for researchers, academicians, and industry professionals to contribute their original work in various areas of AI, including machine learning, deep learning, natural language processing, computer vision, robotics, and more. Through a rigorous peer-review process, IJAIT ensures the publication of high-quality articles that present novel algorithms, methodologies, and theoretical frameworks, as well as practical applications of AI in diverse domains. The journal plays a pivotal role in facilitating the exchange of knowledge, fostering interdisciplinary collaborations, and promoting the development of intelligent systems that can revolutionize industries and enhance human lives. IJAIT serves as an invaluable resource for researchers, practitioners, and enthusiasts seeking to stay abreast of the latest advancements and trends in the field of artificial intelligence.

IJAIT strives to push the boundaries of AI research by publishing high-quality articles that present novel algorithms, methodologies, and theoretical frameworks, as well as practical applications of AI in diverse domains. The journal emphasizes the importance of rigorous peer-review processes to ensure the publication of cutting-edge research that offers unique insights and contributes to the development of the field.

By fostering interdisciplinary collaboration and knowledge exchange, IJAIT plays a pivotal role in facilitating the advancement of intelligent systems that can revolutionize industries and enhance human lives. It serves as a valuable resource for researchers, practitioners, and enthusiasts seeking to stay abreast of the latest advancements and trends in the field of artificial intelligence.

With its global readership and contributions from leading researchers and practitioners, IJAIT is at the forefront of AI research and provides a platform for sharing groundbreaking research, innovative solutions, and emerging trends. The journal encourages the exploration of AI potential to drive technological advancements and shape the future of various industries.

Researchers, academicians, and industry professionals rely on IJAIT as an invaluable resource for staying updated on the latest breakthroughs, methodologies, and applications in artificial intelligence. Whether it is exploring new AI algorithms, understanding the impact of AI on society, or discovering practical implementations of AI in real-world scenarios, IJAIT serves as a comprehensive reference for those passionate about advancing the frontiers of artificial intelligence.

Recent Publications

COMPUTER SCIENCE Jan 14, 2026

DEVELOPMENT OF A CARDIOVASCULAR HEART DISEASE CLASSIFICATION MODEL USING NEURAL NETWORK BASED DATA MINING TECHNIQUE

Ezigbo L.I., Okonkwo R.O., Nwobodo L.O
This paper presents the development of a cardiovascular heart disease classification model using neural network based data mining technique. The aim w...
COMMUNICATION Jan 14, 2026

SIGNATURE BASED DETECTION FOR CLOUD BASED LOG MANAGEMENT USING MACHINE LEARNING TECHNIQUE

Ogili Solomon Nnaedozie
This paper presents signature based detection mechanism for cloud based log management using machine learning technique. The study aimed at detecting ...
POWER SYSTEM Jan 14, 2026

DETERMINATION OF POWER LOSSES AND ANALYSIS OF NSUKKA 33KV POWER DISTRIBUTION NETWORK

Ani Anthony E., Ilo Frederick Udebunu, Emetu Chukwuma Kalu
Power losses in distribution systems have been a big disadvantage to both the distribution company and to the consumers who always pay more than they ...
CONTROL SYSTEM ENGINEERING Jan 14, 2026

ARTIFICIAL INTELLIGENCE EVENT-TRIGGERED CONTROL SYSTEM FOR REAL-TIME MONITORING AND PREDICTION OF GREENHOUSE CONDITIONS

Akwudi Izu L., Eneh I.I., Dimeze Amadi I.
Greenhouse farming is often limited by unstable environmental conditions and inefficient manual control methods. The paper designs an Artificial Intel...
CONTROL SYSTEM ENGINEERING Jan 14, 2026

MODELLING OF A RECURSIVE POLYNOMIAL ESTIMATOR WITH MACHINE LEARNING TO IMPROVE SAFETY INTEGRITY LEVEL OF PETROCHEMICAL PROCESS DESIGN

Analo Pius N., James Eke, Eneh I.I.
This paper presents the application of machine learning technique and recursive polynomial estimator for improving the reliability of critical safety ...
Electrical Engineering Jan 14, 2026

REVIEW OF EXISTING CONGESTION CONTROL TECHNIQUES ACROSS WIRELESS AND CLOUD COMPUTING ENVIRONMENTS

Ezema Christopher I. Mgbachi C.A.C., Onuigbo Chika M.
The growing appreciation and usage of cloud computing has heightened the need for a sound network-management practice, particularly under a dynamic an...

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