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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 Engineering Oct 24, 2026

DESIGN AND IMPLEMENTATION OF AN INTELLIGENT ROBOTIC SYSTEM USING DEEP LEARNING MODEL FOR REAL-TIME PIPELINE GAS LEAKAGE DETECTION

Dimeze A. I., Eneh I. I., Onuigbo C. M.
Pipeline gas leakage posessafety and environmental risks in the oil and gas industry which necessitates the adoption of efficient detection methods. T...
Computer Science Oct 24, 2026

MACHINE LEARNING-BASED OPTIMIZATION OF FERTILIZER AND IRRIGATION SCHEDULES FOR SUSTAINABLE FARMING

Kekong P. E., Daniel Okopi Eyimoga, Mavollo Christpher Mayat, Jethro Matur Jack
Agility farming is necessary in enhancing the productivity of agriculture with minimal environmental consequences. This research paper is a proposal o...
POWER SYSTEM Oct 24, 2026

MINIMIZATION OF POWER DISTRIBUTION SYSTEM HARMONICS USING HIGH VOLTAGE DIRECT CURRENT BASED THREE PHASE HARMONIC FILTER

Okoli C.J., Eke J., Iyidiobi J.
This paper presents the minimization of 075MVA, 11/0.45KV power distribution system harmonics using High Voltage Direct Current Link (HVDC) and three ...
ARTIFICIAL INTELLIGENCE: MACHINE LEARNING FOR GENDER DISPARITY RESOLUTION Oct 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...
COMPUTER SCIENCE Oct 23, 2026

A HYBRID DEEP LEARNING MODEL TO AUTOMATE THE CLASSIFICATION AND SEGMENTATION OF GLIOMA FROM MRI MEDICAL IMAGES

Pius Ekwo Kekong, Joseph S. Igwe, Michael E. Ekpo, Nicholas Adeiza Victor
Gliomas are among the most aggressive brain tumors experienced and the accurate classification of such disease is critical for effective diagnosis and...
Computer Science Oct 23, 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 ...

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