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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

BIOMETRIC TECHNOLOGY Nov 30, 2025

NEURAL NETWORK-BASED APPROACH FOR CLASSIFYING BRAIN TUMORS USING MAGNETIC RESONANCE IMAGING

Nwobodo Harmony N., Kwubeghari A.
This research presents a neural network-based approach for classifying brain tumors using magnetic resonance imaging (MRI). The primary objective is t...
Communication Technology Nov 30, 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 ...
Communication Technology Nov 30, 2025

MACHINE LEARNING-BASED OPTIMIZATION APPROACH TO MITIGATE MULTIPATH IN COMPLEX WIRELESS NETWORK ENVIRONMENTS

Amaechi, Chijindu, O., Mgbachi, C.A., Onuigbo, Chika, M.
Multipath propagation remains a major challenge in wireless communication systems, causing signal degradation, fading, and reduced transmission reliab...
Computer Science Nov 30, 2025

AN INTELLIGENT DEEP LEARNING-BASED MODEL FOR WEED DETECTION AND CLASSIFICATION USING THE YOLOV8N ARCHITECTURE

Chimezie Fredrick Ugwu, T. C. Asogwa, Chinagolum Ituma
The weed invasion is one of the most severe challenges to sustainable rice production, which diminishes crop production and over depends on herbicides...
Engineering Nov 30, 2025

SIMULATED CHARACTERIZATION OF 5G NETWORK RESILIENCE TO ADVERSARIAL ATTACK

Okafor C. J. Abonyi D.O. and Ene P.C.
Adversarial attack is an attack tactics employed by cybercriminals to deceive modern network security systems and penetrate networks for cyber attack....
COMPUTER ENGINEERING Nov 30, 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...

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