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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 Nov 29, 2025

THE REVOLUTION OF THE EDUCATIONAL SECTOR BY MACHINE LEARNING AND ARTIFICIAL INTELLIGENCE

Nnenna Harmony Nwobodo-Nzerebe, Aghaizu Herman Chijioke,
This paper reviews the impacts of machine learning and artificial intelligence technology to improve the educational sector and teaching/learning effi...
Computer engineering Nov 29, 2025

A REAL-TIME TRAFFIC SIGN DETECTION SYSTEM USING A TRANSFER LEARNING APPROACH

Edet Offiong E., Oleka Chioa V., Bosede Olawale J.
This study presents the design and implementation of a real-time traffic sign detection system using a transfer learning approach based on the YOLOv8s...
Communication Technology Nov 29, 2025

MACHINE LEARNING-BASED INTERFERENCE DETECTION AND MANAGEMENT SYSTEM FOR 5G HETEROGENEOUS NETWORK

Onogwu John O., Abonyi Dorathy O.
Interference remains a critical challenge in next-generation wireless networks, affecting both quality of service (QoS) and spectral efficiency. This ...
computer science Nov 29, 2025

DEVELOPMENT OF AN INTELLIGENT FILELESS MALWARE CLASSIFICATION SYSTEM USING OPTIMIZED DEEP LEARNING TECHNIQUE

Nwafor Anthony C, Mgbeafulike I.J., Okeke O.C.
Fileless malware is a significant cybersecurity threat because of its ability to operate without traditional file-based signatures which makes it chal...
COMPUTER SCIENCE Nov 29, 2025

TRANSFER LEARNING MULTI-MODAL APPROACH FOR CARDIOVASCULAR DISEASE PROGNOSIS

Kamalu Maureenwendy C., Okeke Ogochukwu C., Aghaizu Herman Chijioke
Despite the development of modern medicine being in progress, CVD is still the leading cause of death worldwide (responsible for 32% mortality). Altho...
Mathematics Nov 29, 2025

MATHEMATICAL MODELING OF THE DYNAMIC BEHAVIOUR OF REINFORCEMENT THEORY: A NOVEL APPROACH

Ugo Donald Chukwuma
This study develops a mathematical model using a system of differential equations to describe the dynamics of reinforcement and punishment on behaviou...

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