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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

POWER SYSTEM Mar 03, 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...
Engineering Mar 03, 2026

IMPROVING POWER OUTPUT GENERATION FROM BIOGAS PLANT USING SIMPLEX OPTIMIZATION TECHNIQUE

Omeje U.C., Ilo F.U.
This paper presents improving power output generation from biogas using simplex optimization technique. This aim is to address the issues of poor powe...
ARTIFICIAL INTELLIGENCE: MACHINE LEARNING FOR GENDER DISPARITY RESOLUTION Mar 03, 2026

MULTI-MODAL DATA ANALYSIS FOR STROKE PREDICTION: UNVEILING HIDDEN BIOMARKERS THROUGH MACHINE LEARNING

Omeye, Emmanuel C., Anyaragbu Hope U.
Stroke, a leading cause of disability and mortality worldwide, presents a critical challenge for healthcare systems. While demographic factors have tr...
COMPUTER SCIENCE Mar 03, 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 Mar 03, 2026

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...
Control System Engineering Mar 03, 2026

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 ...

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