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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 Nov 29, 2025

DEVELOPMENT OF GHOST WORKERS DETECTION SYSTEM USING BIOMETRIC BASED CONVOLUTIONAL NEURAL NETWORK

Nzeh Chika D., Inyama Hyacinth C.
This paper presents the development of ghost workers detection system using biometric based convolutional neural network. The study started with liter...
Power Engineering Nov 29, 2025

IMPROVING THE PROTECTION OF 330KV TRANSMISSION LINE AGAINST TRANSIENT INSTABILITY USING INTELLIGENT SOLID STATE RELAY

Ogbuagu C., Alor M.O., and Ugwu K.I.
This paper presents improving the protection of 330KV transmission line against transient instability using an intelligent solid state-based protectio...
COMMUNICATION Nov 29, 2025

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 ...
Control System Engineering Nov 29, 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 ...
Medical Image Labelling Nov 29, 2025

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...

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