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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

CONTROL SYSTEM ENGINEERING Jan 14, 2026

REDUCING PIPELINE CORROSION IN OIL AND GAS INDUSTRIES USING ANT COLONY OPTIMIZATION TECHNIQUES

Ikpaikpai Odonkumo Easter, James Eke
This paper aims to develop a model for reducing oil pipeline corrosion in the oil and gas industries using ant colony optimization techniques. The pri...
Computer Science Jan 14, 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 ...
COMMUNICATION SYSTEM ENGINEERING Jan 14, 2026

IMPROVING TRAFFIC MANAGEMENT IN A DATA SWITCHED NETWORK USING AN ADAPTIVE DISCRETE TIME MARKOV MODULATED POISSON PROCESS

Ndihibe P. I., Abonyi D.O., Ogili S.N.
In the ever-evolving landscape of modern telecommunications, the increased demands on data networks driven by the proliferation of connected devices a...
OPTIC FIBRE Jan 14, 2026

SIMULATED MODELING OF OPTICAL TRANSMISSION NETWORK FOR IMPROVED TRANSPORT OF ELECTRONIC HEALTH RECORDS

Nwokedi Chizoba N., Nwokoye Anthony O.
This work presents the simulated modeling of optical transmission network for improved transport of electronic health records. The aim is to optimize ...
Control System Engineering Jan 14, 2026

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 Jan 14, 2026

DEEP TRANSFER LEARNING–BASED FRAMEWORK FOR AUTOMATED BRAIN TUMOR DETECTION, CLASSIFICATION AND SEGMENTATION USING THE YOLOV8 ARCHITECTURE

Ibeonu Ogochukwu C., Ogochukwu Okeke C.
The presence of complex and heterogeneous tumour characteristics is still a decisive problem in the diagnosis of brain tumours that makes it a signifi...

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