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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 Nov 29, 2025

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...
Control System Engineering Nov 29, 2025

DEVELOPMENT OF A DEEP LEARNING MODEL FOR THE PREVENTION AND CONTROL OF ROAD ACCIDENT

Engr. Dr. Harbor M.C.(Ph.D.)
This paper describes the development of a convolutional neural network (CNN) based vehicle accident prevention and control system which is developed t...
COMPUTER SCIENCE Nov 29, 2025

A DEEP LEARNING FRAMEWORK FOR REAL-TIME CYBER THREAT DETECTION AND MITIGATION IN NETWORKED ENVIRONMENTS

Ezeh Ebere M., Asogwa T.C.
The changing nature of the frequency and complexity of cyber threats necessitates the need to implement network security based on intelligent and adap...
Cybersecurity Nov 29, 2025

A SMART ADVERSARIAL THREATS DETECTION SYSTEM USING HYBRID OF BIGAN-BIGRU TECHNIQUE

Ojiako F.N., Mgbeafulike I.J., Okeke O.C
The study presents modelling a smart adversarial threats detection system using hybrid of Bi-Directional Generative Adversarial Network (Bi-GAN) and B...
Computer Science Nov 29, 2025

IMPROVING THE QUALITY OF SERVICE OF A COGNITIVE RADIO NETWORK THROUGH SPECTRUM SENSOR OPTIMIZATION

Agbo Kenechukwu M., Mba Chioma., Oliokwe Bibian N.,
The underutilization of the constrained spectrum by the fixed channel allocation strategy and the increasing demand for seamless wireless services pro...
Cybersecurity Nov 29, 2025

IMPROVING THE PERFORMANCE OF HUB BASE TRANSCEIVER STATION USING HYBRID OF ADAPTIVE INTERFERENCE CANCELLER AND HIBERNATION MODE TECHNIQUE

Samuel C. Anih, J. Eke, Emetu Chukwuma Kalu
The paper proposes a hybrid of adaptive interference canceller and fuzzy hibernation controller for improving the performance of a hub base transceive...

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