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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

POWER Feb 28, 2026

MITIGATION OF LOSSES IN POWER SYSTEM THROUGH LOAD FORECASTING USING DEEP NEURAL NETWORK ARCHITECTURE

Mbamalu I.C.
This study presents a Deep Neural Network (DNN) model for short-term load forecasting for mitigation of losses in power system. The model developed in...
Control System Engineering Feb 28, 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...
Electrical Engineering Feb 28, 2026

RESEARCH ON ENHANCING THE PERFORMANCE OF 4G DATA SWITCHED NETWORKS USING THE KNOCKOUT PRINCIPLES AND PARALLEL FABRICS

Akpan Idongesit T., Prof. Eneh I.I., Princewill Eneh, Ohagwu Walter Akachukwu
This research is focused on enhancing the performance of data switched networks using the knockout principle and parallel fabrics. The high demand of ...
COMPUTER SCIENCE Feb 28, 2026

A DEEP LEARNING FRAMEWORK FOR REAL-TIME CYBER THREAT DETECTION AND MITIGATION IN NETWORKED ENVIRONMENTS

Ezeh Ebere M., Asogwa T.C.
The changing nature of the frequency and complexity of cyber threats necessitates the need to implement network security based on intelligent and adap...
Computer Science Feb 28, 2026

INTELLIGENT FACIAL RECOGNITION SYSTEM USING MACHINE LEARNING ALGORITHM

Nwogwu J.O., Ugwu Edith A., Mba David L., Oliokwe Bibian N.
Over recent years, Researchers have displayed a keen interest in dynamic research domains, including the realm of Face Recognition Systems. This study...
Medical Image Data Labelling Feb 28, 2026

INTELLIGENT MEDICAL IMAGE DATA LABELLING HEALTHCARE AUTOMATION USING DEEP LEARNING TECHNIQUE

ILOFULUNWA C.G, AKUNNE O.E
The goal of this paper was to create a software application system medical image classification through automated data labelling for healthcare utilis...

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