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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 Jul 24, 2026

RECENT ADVANCES IN ROBOTIC MANIPULATOR MODELING AND INTELLIGENT CONTROL: CHALLENGES AND FUTURE RESEARCH DIRECTIONS

Nwafor Anthony Chigozie, Udeh Chukwuma Callistus
Robotic manipulators have become a cornerstone of modern automation, playing a critical role in industrial production, healthcare systems, space explo...
COMPUTER SCIENCE Jul 24, 2026

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...
COMPUTER SCIENCE Jul 24, 2026

DESIGN OF A CNN-BASED EXTRACTOR FOR OPTIMAL CLASSIFICATION OF PANCREATIC CANCER

Anameje Chinwe A., Ogochukwu Okeke
This study presents a Convolutional Neural Network (CNN) based extractor for the automated tracking and detection of pancreatic tumors using a combina...
COMPUTER SCIENCE Jul 24, 2026

A LIGHTWEIGHT DEEP LEARNING MODEL BASED ON MOBILENETV2 FOR THE NAVIGATION FOR A DISCRETE MOBILE ROBOT

Nwafor Anthony Chigozie, Udeh Chukwuma Callistus
This paper presents the design of a lightweight, deep learning model, based on MobileNetV2, to classify navigation decisions in a discrete robot path-...
Medical Image Labelling Jul 24, 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...
Power system Engineering Jul 23, 2026

IMPROVING THE QUALITY OF POWER SUPPLY IN DISTRIBUTION NETWORK USING A GENETIC-BASED STATIC VAR COMPENSATOR

Igodo Ogbonna Ofure, F. U. ILO
This paper presents improving the quality of power supply in a distribution network using a genetic-based SVC. The research methodologies used in this...

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