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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

Engineering Jun 09, 2026

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 Science Jun 09, 2026

DEVELOPMENT OF A MACHINE LEARNING-BASED HEART DISEASE DETECTION SYSTEM FOR EARLY DIAGNOSIS AND CLINICAL DECISION-MAKING IN RESOURCE-CONSTRAINED RURAL SETTINGS

Agboeze Onyinyechi C., Ugwu Edith A.
Heart disease remains a major cause of morbidity and mortality worldwide and is an emerging public health challenge in rural Nigerian communities, whe...
COMPUTER SCIENCE Jun 09, 2026

DEVELOPMENT OF MULTI LEVEL INTRUSION DETECTION SYSTEM FOR CLOUD BASED LOG MANAGEMENT USING MACHINE LEARNING TECHNIQUE

Oduah O., Olofin B.B., Asogwa T.C.
This paper presents development of a Multi Level Intrusion Detection System (MLIDS) for cloud-based log management using machine learning technique. T...
Computer Science Jun 09, 2026

A HYBRID DEEP LEARNING MODEL TO AUTOMATE THE CLASSIFICATION AND SEGMENTATION OF GLIOMA TUMORS FROM MRI MEDICAL IMAGES

Oliokwe, Bibian N., Chukwu, Chikaodili C.
Gliomas are among the most aggressive brain tumors experienced and the accurate classification of such disease is critical for effective diagnosis and...
Electrical Engineering Jun 09, 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 ...
BIOMETRIC TECHNOLOGY Jun 09, 2026

CONVOLUTIONAL NEURAL NETWORK MODEL FOR HEART DISEASE CLASSIFICATION

Nwobodo Nnenna H., Ezigbo Lucy I.
Heart disease has dominated the cause of mortality rate in the world. In western African, high kolanut intake has been reported to be one of the main ...

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