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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 Science Sep 09, 2026

IMPROVING THE QUALITY OF SERVICE OF A COGNITIVE RADIO NETWORK THROUGH SPECTRUM SENSOR OPTIMIZATION

Agbo Kenechukwu M., Mba Chioma., Oliokwe Bibian N.,
The underutilization of the constrained spectrum by the fixed channel allocation strategy and the increasing demand for seamless wireless services pro...
Computer Science Sep 09, 2026

DEVELOPMENT OF A DEEP LEARNING TECHNOLOGY TO IMPROVE HUMAN-COMPUTER INTERACTION FOR VISUALLY IMPAIRED

Iluno Amalachukwu C., Ogochukwu C. Okeke, Ike Mgbeafuluike
Accessing equitable learning settings can be extremely difficult for people with disabilities, such as vision loss, despite the fact that receiving a ...
NETWORK SECURITY Sep 09, 2026

DEVELOPMENT OF AN INTELLIGENT AND SECURED MODEL FOR A CLOUD-BASED DETECTION OF ADVERSARIAL ATTACKS USING ARTIFICIAL NEURAL NETWORK

Okonkwo Chinonso J., Ogochukwu C. Okeke
To identify and mitigate adversarial attacks, this paper explores the development of an intelligent and secure model for a 5G cloud-based facility uti...
COMPUTER SCIENCE Sep 09, 2026

DEEP TRANSFER LEARNING–BASED FRAMEWORK FOR AUTOMATED BRAIN TUMOR DETECTION, CLASSIFICATION AND SEGMENTATION USING THE YOLOV8 ARCHITECTURE

Ibeonu Ogochukwu C., Ogochukwu Okeke C.
The presence of complex and heterogeneous tumour characteristics is still a decisive problem in the diagnosis of brain tumours that makes it a signifi...
Engineering Sep 09, 2026

REDUCTION AND CONTROL CONGESTION IN MULTI-TIER 4G-LTE-A NETWORK USING HYBRID ARTIFICIAL INTELLIGENCE TECHNIQUE

Emehelu Christian A., Kingsely Udofia, Emmanuel Ogungbemi
This paper presents the reduction and control of congestion in multi-tier 4G-LTE-A network using hybrid artificial intelligence technique. The study...
COMPUTER SCIENCE Sep 09, 2026

ADVANCE DEEP LEARNING MODEL FOR DIGITAL SEGMENTATION OF PANCREATIC CANCER

Anameje Chinwe A., Ike Mgbeaafulike
Pancreatic Cancer (PC) is among the deadliest forms of cancer, with a high mortality rate due to its often-late diagnosis. Early detection plays a cri...

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