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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

CYBER SECURITY Sep 03, 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...
Computer Engineering Sep 03, 2025

IMPROVING THE PERFORMANCE OF CELLULAR SYSTEM USING OPTIMAL SMALL CELLS DEPLOYMENT TECHNIQUE

Onuorah Florence Chekwube, Obianuju Dorathy Abonyi
Deciding on the most suitable location for cell deployment continues to pose significant challenges for network administrators. Despite the operation ...
CONTROL SYSTEM ENGINEERING Sep 03, 2025

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 ...
CONTROL SYSTEM ENGINEERING Sep 03, 2025

MODELING OF A NEURO-LOGIC SOLVER FOR IMPROVED RISK REDUCTION FACTOR IN PETRO-CHEMICAL INDUSTRY

Analo Pius N., James Eke, Eneh I.I.
This paper presents improving the reliability of critical safety instrument system using mathematical method and machine learning technique. The aim o...
POWER SYSTEM Sep 03, 2025

Improving the security of the Nigeria 330kv grid network using intelligent margin and sensitivity-controlled fact devices

Ani Maduka, Prof. Eneh Innocent I., Eze Robert J.
This study aimed to enhance the security of Nigeria's 330kV grid network through the implementation of intelligent margin and sensitivity-controlled F...
Computer Science Sep 03, 2025

DEVELOPMENT OF FEED FORWARD NEURAL NETWORK-BASED VEHICLE ACCIDENT PREVENTION SYSTEM

Ugwu Edith Angela
This paper addresses a pressing issue in Nigeria's transportation landscape and proposes an innovative solution using artificial intelligence. The ban...

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