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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 Sep 28, 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...
Computer Engineering Sep 28, 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 28, 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 28, 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...
Machine Learning Sep 28, 2025

Development Of a Predictive Machine Learning Model For Diabetes Using Stacked Ensemble Approach

Thompson Ekemini, Joshua Agbogun, Nwogwugwu Benjamin
Diabetes is a global health concern with millions of new cases annually. Early detection of the disease can prevent its progression and complications....
Electrical Engineering Sep 28, 2025

REVIEW OF EXISTING CONGESTION CONTROL TECHNIQUES ACROSS WIRELESS AND CLOUD COMPUTING ENVIRONMENTS

Ezema Christopher I. Mgbachi C.A.C., Onuigbo Chika M.
The growing appreciation and usage of cloud computing has heightened the need for a sound network-management practice, particularly under a dynamic an...

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