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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

Control Engineering Feb 28, 2026

Minimizing Energy Consumption using IoT based Smart Technologies: A Smart Home Scenario

Eze, Marcel N., Onuigbo, Chika M., and Iyidiobi Jonathan C.
This paper presents a model called Energy Management System (EMS) for minimizing energy consumption in smart homes. IoT sensors are installed througho...
COMPUTER SCIENCE Feb 28, 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...
POWER SYSTEM Feb 28, 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...
CONTROL SYSTEM ENGINEERING Feb 28, 2026

MODELLING OF REAL TIME FLOOD DETECTION AND CONTROL SYSTEM USING MACHINE LEARNING TECHNIQUE

Ebere Uzoka C, Eke James
This paper presents the modeling of a real-time flood detection and control system using machine learning techniques. The experimental and simulation ...
CONTROL SYSTEM ENGINEERING Feb 28, 2026

ARTIFICIAL INTELLIGENCE EVENT-TRIGGERED CONTROL SYSTEM FOR REAL-TIME MONITORING AND PREDICTION OF GREENHOUSE CONDITIONS

Akwudi Izu L., Eneh I.I., Dimeze Amadi I.
Greenhouse farming is often limited by unstable environmental conditions and inefficient manual control methods. The paper designs an Artificial Intel...
Electrical Engineering Feb 28, 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...

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