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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 Mar 01, 2026

IMPROVING THE PERFORMANCE OF BASIC PROCESS CONTROL SYSTEM FOR OPTIMAL CEILING BOARD PRODUCTION

Odo Nathaniel S., Eneh Innocent I., Ene Princewill C.
This paper “improving the performance of basic process control system for optimal ceiling board production” was presented for the intellig...
CONTROL SYSTEM ENGINEERING Mar 01, 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...
COMMUNICATION SYSTEM ENGINEERING Mar 01, 2026

THE CHALLENGES OF IMPLEMENTING IOT-BASED MONITORING AND CONTROL SYSTEMS FOR OIL PIPELINES

Ola E.O., Prof. Eke James, Ezeh N.C.
The adoption of Internet of Things (IoT)-based monitoring and control systems in the oil and gas industry offers the promise of revolutionizing pipeli...
ROBOTICS Mar 01, 2026

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...
ARTIFICIAL INTELLIGENCE Mar 01, 2026

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 Engineering Mar 01, 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...

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