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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

COMMUNICATION SYSTEM ENGINEERING Aug 17, 2025

DESIGN AND PERFORMANCE OPTIMIZATION OF CAMPUS WI-FI NETWORK (CASE STUDY OF UNIZIK)

Ekwueme John C., Idigo V.E
A Wi-Fi network is a wireless local area network designed to provide internet connectivity to people within a particular area. In the context of this ...
Electrical Engineering Aug 17, 2025

MODELLING OF AN INTELLIGENT VIRTUAL POWER PLANT FOR OPTIMAL ENERGY NETWORK MANAGEMENT AND CONTROL USING MACHINE LEARNING TECHNIQUE

Ozoani Uchechukwu I., Eneh Innocent. I., Ani Okwuchukwu Innocent
This paper presents the modeling of an intelligent virtual power plant for optimal energy network management and control using machine learning techni...
Electrical Engineering Aug 17, 2025

RESEARCH ON ENHANCING THE PERFORMANCE OF 4G DATA SWITCHED NETWORKS USING THE KNOCKOUT PRINCIPLES AND PARALLEL FABRICS

Akpan Idongesit T., Prof. Eneh I.I., Princewill Eneh, Ohagwu Walter Akachukwu
This research is focused on enhancing the performance of data switched networks using the knockout principle and parallel fabrics. The high demand of ...
CONTROL SYSTEM ENGINEERING Aug 17, 2025

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 Aug 17, 2025

INTELLIGENT FACIAL RECOGNITION SYSTEM USING MACHINE LEARNING ALGORITHM

Nwogwu J.O., Ugwu Edith A., Mba David L., Oliokwe Bibian N.
Over recent years, Researchers have displayed a keen interest in dynamic research domains, including the realm of Face Recognition Systems. This study...
Engineering Aug 17, 2025

IMPROVING POWER TRANSMISSION SYSTEM TRANSIENT STABILITY USING PARTICLE SWARM OPTIMIZATION TECHNIQUE

Nduka Samuel E., Ilo F.U.
This paper presents a study on improving power transmission system transient stability using the particle swarm optimization (PSO) technique. The rese...

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