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International Journal Of Real-Time Applications And Computing Systems (IJORTACS)

Explore our scholarly publication dedicated to advancing research and innovation

International Journal Of Real-Time Applications And Computing Systems (IJORTACS)

International Journal Of Real-Time Applications And Computing Systems (IJORTACS)

The International Journal of Real-Time Applications and Computing Systems (IJORTACS) is a renowned scholarly publication that focuses on the advancements and innovations in real-time applications and computing systems. With a global readership and contributions from leading researchers and practitioners in the field, IJORTACS serves as a platform for disseminating cutting-edge research, exploring emerging trends, and exchanging knowledge related to real-time computing. The journal covers a wide range of topics, including real-time systems, embedded systems, cyber-physical systems, Internet of Things (IoT), real-time data analytics, and related areas. Through its rigorous peer-review process, IJORTACS ensures the publication of high-quality articles that contribute to the development and understanding of real-time applications and computing systems, making it a valuable resource for researchers, engineers, and professionals in the field.

The journal covers a wide range of topics, including real-time systems, embedded systems, cyber-physical systems, Internet of Things (IoT), real-time data analytics, and related areas. By featuring articles that delve into these areas, IJORTACS facilitates a comprehensive understanding of the challenges and opportunities associated with real-time applications and computing systems.

Through its rigorous peer-review process, IJORTACS ensures the publication of high-quality articles that contribute to the development and understanding of real-time applications and computing systems, making it a valuable resource for researchers, engineers, and professionals in the field.

IJORTACS provides a platform for researchers to showcase their original contributions, methodologies, experimental findings, and practical applications. By presenting novel insights and innovative solutions, the journal encourages the exploration of new approaches and techniques in the realm of real-time computing.

With its commitment to excellence, IJORTACS plays a pivotal role in fostering advancements in real-time applications and computing systems. It serves as a go-to resource for researchers and practitioners seeking to stay updated on the latest research, industry trends, and technological breakthroughs in this rapidly evolving field.

The journal comprehensive coverage, rigorous peer-review process, and commitment to disseminating high-quality research make it an invaluable publication for academics, professionals, and students interested in real-time applications and computing systems.

Recent Publications

Computer Science Oct 26, 2026

DESIGN AND IMPLEMENTATION OF A DEEP LEARNING-BASED IMAGE CLASSIFICATION SYSTEM USING CONVOLUTIONAL NEURAL NETWORKS

Edith Angela Ugwu
The paper is a design and a realization of a deep learning-driven image classification system with the use of Convolutional Neural Networks (CNNs). Th...
Electrical Engineering Oct 26, 2026

Enhancement of Frequency Stability of the Nigeria 330kV Transmission Network using Intelligent SSVC.

Chukwuegbo, A. E., Eleje, N. E., Omeche, A. A.
The Nigerian power sector is grappling with significant frequency instability in its 330kV transmission network, a challenge intensified by aging infr...
CONTROL SYSTEM ENGINEERING Oct 26, 2026

MODELING OF VEHICLE ACCIDENT PREVENTION AND CONTROL SYSTEM USING MACHINE LEARNING TECHNIQUE

Ozioko Kingsley O., Eneh Innocent I., Ene Princewill C.
This paper presents the modeling of vehicle accident prevention and control system using machine learning technique. The study revealed from literatur...
COMPUTER SCIENCE Oct 25, 2026

IMPLEMENTATION OF MACHINE LEARNING-BASED APPROACH FOR THE EARLY DETECTION OF STRESS AND HYPERTENSION IN PREGNANT WOMEN: A REVIEW

Ugwu Edith Angela
The paper presents a review of machine learning approaches for the early detection of Stress and Hypertension (SH) in pregnant women. It discusses the...
ROBOTICS Oct 25, 2026

THE KINEMATIC MODELING OF A FOUR MECANUM WHEEL ROBOT FOR ENVIRONMENT MAPPING

Princewill Chigozie Ene
This research presents the kinematic modeling of a four mecanum wheel robot for environment mapping and navigation. The study developed the kinematic ...
COMPUTER ENGINEERING Oct 25, 2026

OPTIMIZING NETWORK RADIO RESOURCE MANAGEMENT USING MACHINE LEARNING TECHNIQUE FOR TRAFFIC IMPROVEMENT

Nnenna Harmony Nwobodo-Nzerebe, Ebere Uzoka Chidi
In the world of communication networks, which provide services to a variety of highly demanding applications, effective resource allocation is essenti...

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