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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

ROBOTICS Nov 29, 2025

MODELING A DEEP LEARNING AND FUZZY LOGIC-BASED BEHAVIORAL APPROACH FOR AUTONOMOUS NAVIGATION OF A ROBOT IN A GLOBAL POSITIONING SYSTEM (GPS) DENIED ENVIRONMENT

Innocent Ifeanyichukwu Eneh, Princewill Chigozie Ene, Emmanuel C. Obasi
This paper presents the modeling of a deep learning and fuzzy logic behavioral approach for the autonomous navigation of a robot in a Global Positioni...
POWER SYSTEM Nov 29, 2025

INTELLIGENT TECHNIQUE FOR STABILIZING THE RESPONSE TIME OF TRANSMISSION LINE PROTECTION RELAY

Eze Robert John, Ani Maduka
It is impossible to develop a fault free system, regardless of how perfect the design might be, as time improves the system reliability and mean time ...
Artificial Intelligence Nov 29, 2025

DETECTION OF ELECTRICITY METER BYPASS IN NIGERIA USING MACHINE LEARNING

Onyia J.O., Ugwu Edith A., Asogwa Tochukwu C., Anameje Chinwe A.
This study focused on the detection of electricity meter bypass in Nigeria using machine learning algorithms. The aim was to develop an intelligent mo...
ARTIFICIAL INTELLIGENCE Nov 29, 2025

A MODEL TO DETECT OIL THEFT IN NIGERIAN PIPELINES USING ARTIFICIAL INTELLIGENCE

Chiedu Raphael S., Ugwu Edith A., Asogwa Tochukwu C., Oliokwe Bibian N.
This study delves into the critical issue of pipeline oil theft in Nigeria, a nation heavily reliant on its oil industry. By harnessing the power of a...
COMPUTER SCIENCE Nov 29, 2025

CLASSIFICATION MODEL FOR CARDIOTOCOGRAM MACHINE USING FEED FORWARD NEURAL NETWORK

Pius Ekwo Kekong, Kwubeghari Anthony., Chiawa Chidimma
One of primary concerns during pregnancy is the challenge of accurate monitoring of Fetal Heart Rate (FHR) and interpretation of cardiogram data to he...

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