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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

ARTIFICIAL INTELLIGENCE: MACHINE LEARNING FOR GENDER DISPARITY RESOLUTION Jul 24, 2026

DATA-DRIVEN APPROACHES TO EDUCATIONAL EQUITY: PREDICTING AND RESOLVING GENDER-BASED ACADEMIC DISPARITIES

Omeye, Emmanuel C., Anyaragbu Hope U.
This research addresses gender disparity in academic achievement through an innovative approach, integrating predictive analytics and strategic mitiga...
Communication Technology Jul 24, 2026

MACHINE LEARNING-BASED INTERFERENCE DETECTION AND MANAGEMENT SYSTEM FOR 5G HETEROGENEOUS NETWORK

Onogwu John O., Abonyi Dorathy O.
Interference remains a critical challenge in next-generation wireless networks, affecting both quality of service (QoS) and spectral efficiency. This ...
Computer Science Jul 24, 2026

THE USE OF MACHINE LEARNING MODEL FOR AUTOMATIC DETECTION OF ROAD TRAFFIC SIGNS

Oji Nkechi Blessing
This study introduces an improved method for traffic sign detection and recognition, specifically designed for complex urban environments and varying ...
BIOMETRIC TECHNOLOGY Jul 24, 2026

DEVELOPMENT OF GHOST WORKERS DETECTION SYSTEM USING ARTIFICIAL INTELLIGENCE BASED BIOMETRIC TECHNOLOGY

Nzeh Chika D., Inyama Hyacinth C.
This paper presents the development of ghost worker detection system using artificial intelligence based biometric technology. The study began with li...
Cybersecurity Jul 24, 2026

DEVELOPMENT OF AN INTELLIGENT BOTNET DETECTION AND MITIGATION FRAMEWORK USING MACHINE LEARNING TECHNIQUES

Nkechi Oji, Ogochukwu Okeke C., Ike J. Mgbeafulike
The rapid evolution of cyber threats, particularly botnet attacks, poses significant risks to network security, challenging traditional defence mechan...
Computer Science Jul 24, 2026

ARTIFICIAL INTELLIGENCE (AI)-DRIVEN SPECTRUM OPTIMIZATION FRAMEWORK TO ENHANCE QUALITY OF SERVICE IN NIGERIAN MOBILE NETWORKS

Edith Angela Ugwu
The telecommunications industry in Nigeria has been characterised by a boom in mobile subscriptions and internet penetration within the country in the...

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