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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

POWER Sep 28, 2025

MINIMIZING LOSSES IN NIGERIA’S 330KV TRANSMISSION NETWORK USING IMPROVED STATCOM CONTROLLER

Ikenna Mbamalu
This study presents the improvement of Nigeria’s 34-bus, 330/132?kV transmission network performance through Flexible AC Transmission System (FACTS)...
POWER SYSTEM Sep 28, 2025

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 ...
CYBER SECURITY Sep 28, 2025

WIDE NEURAL NETWORKS APPROACH FOR DETECTING AND MITIGATING STOCHASTIC DECEPTION ATTACKS IN CYBERSECURITY

Odo Francisca E., Asogwa T.C.
This study addresses the critical challenge of detecting and mitigating stochastic deceptive attacks in cyber environments through a novel hybrid appr...
Control System Engineering Sep 28, 2025

A HYBRID DEEP LEARNING APPROACH FOR THE EARLY DETECTION OF DRIVER DROWSINESS

Engr. Dr. Harbor M.C.(Ph.D.)
Since driver fatigue is a major contributor to traffic accidents globally, identifying it early on is essential to improving road safety. Considering ...
COMPUTER SCIENCE Sep 28, 2025

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...
CONTROL SYSTEM ENGINEERING Sep 28, 2025

MODELLING OF REAL TIME FLOOD DETECTION AND CONTROL SYSTEM USING MACHINE LEARNING TECHNIQUE

Ebere Uzoka C, Eke James
This paper presents the modeling of a real-time flood detection and control system using machine learning techniques. The experimental and simulation ...

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