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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

Electrical Engineering Oct 23, 2026

VOLTAGE STABILITY AND CONTROL OF NEW HAVEN 132/33KV POWER FEEDER USING DISTRIBUTED STATCOM

Anyachukwu E.C., Basil Ibekwe, Nwabueze Charles N.
Voltage stability issues are a major concern in Nigeria due to many system failures and surges in electrical installations around Enugu. Owing to the ...
Computer Science Oct 23, 2026

A HYBRID DEEP LEARNING ARCHITECTURE FOR ROBUST VULNERABILITY CLASSIFICATION

Ekpo, Michael, E., Ituma, Chinagolum, Pius, Ekwo, K.
The increasing sophistication of cyber threats, particularly against critical infrastructure like healthcare Internet of Things (IoT) networks, demand...
Control System Engineering Oct 23, 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...
ENGINEERING Oct 23, 2026

ENHANCED TRANSMISSION ENERGY EFFICIENCY IN AN LTE HETEROGENEOUS NETWORK USING ADAPTIVE CELL SELECTION ALGORITHM

Umejiuba Chinenye. L, Michael. O. Alor, Nwabueze Charles N
This paper presents enhance transmission energy efficiency in an LTE heterogeneous network using adaptive cell selection algorithm. This was embarked ...
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 ...
COMPUTER SCIENCE Oct 23, 2026

DEVELOPMENT OF A REAL-TIME VULNERABILITY MANAGEMENT SYSTEM FOR HEALTHCARE CYBER-PHYSICAL SYSTEMS USING A HYBRID DEEP LEARNING

Mba Chioma Juliet, Amadi Gloria Ebere, Ezugwu Lilian Martina
The growth of the utilization of Internet of Things (IoT) and cyber-physical systems (CPS) in the healthcare sector has come along with new vulnerabil...

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