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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

Medical Image Labelling Apr 25, 2026

Application of Deep Learning Techniques for Automated Healthcare Data Labelling

ILOFULUNWA C.G., IKE MGBEAFULUIKE
This paper on automated data labeling for health care using integrated deep learning technique was aimed at developing a software application system i...
Engineering Apr 25, 2026

IMPROVING THE PERFORMANCACE OF SMART FARM PEST MONITORING AND CONTROL SYSTEM USING MACHING LEARNING TECHNIQUE

Enya G.N, Onoh G.N, Abonyi D.O
This paper introduces a smart farm pest monitoring and detection system utilizing machine learning techniques. The objective of this study is to devel...
POWER Apr 25, 2026

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 Apr 25, 2026

MODEL AND ANALYSIS OF THE IEEE 9-BUS SMART GRID INCORPORATING SOLID-STATE TRANSFORMERS (SSTS) UNDER VARYING LOAD CONDITIONS

Onyeaka Kenneth Chidiebere, Mgbachi C.A, Onuigbo C.M
The traditional Low-Frequency Transformers (LFTs) have been used for a long time as fundamental units in electrical power systems, offering galvanic i...
Electrical Engineering Apr 25, 2026

ARTIFICIAL NEURAL NETWORK-BASED FAULT DETECTION AND CLASSIFICATION IN 330KV THREE-PHASE TRANSMISSION LINES: A COMPARATIVE STUDY WITH CONVENTIONAL METHODS

Igbo, Ngozika, P., and Ilo, F.,U.
ARTIFICIAL NEURAL NETWORK-BASED FAULT DETECTION AND CLASSIFICATION IN 330KV THREE-PHASE TRANSMISSION LINES: A COMPARATIVE STUDY WITH CONVENTIONAL METH...
COMPUTER SCIENCE Apr 25, 2026

THE RELEVANCE OF FIREWALL TECHNOLOGY IN COMBATING INTERNET INSECURITY

Nzeife Morrison V.N., Ike Mgbeafuluike
The rapid evolution of computer technology and networking has transformed the way individuals, organizations, and nations communicate, interact, and c...

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