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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

OPTIC FIBRE May 19, 2026

SIMULATED MODELING OF OPTICAL TRANSMISSION NETWORK FOR IMPROVED TRANSPORT OF ELECTRONIC HEALTH RECORDS

Nwokedi Chizoba N., Nwokoye Anthony O.
This work presents the simulated modeling of optical transmission network for improved transport of electronic health records. The aim is to optimize ...
Control System Engineering May 19, 2026

MODELING OF INTELLIGENT ROBOTIC GRIPPER FOR PRECISED OBJECT MANIPULATION USING ADAPTIVE CONTROL TECHNIQUE

NWANKWO CHINEDU V., EKE JAMES
This paper presents modeling of an intelligent robotic gripper for précised object manipulation using adaptive controller. The aim was to counter t...
NETWORK SECURITY May 19, 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 engineering May 19, 2026

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...
Cybersecurity May 19, 2026

A SMART ADVERSARIAL THREATS DETECTION SYSTEM USING HYBRID OF BIGAN-BIGRU TECHNIQUE

Ojiako F.N., Mgbeafulike I.J., Okeke O.C
The study presents modelling a smart adversarial threats detection system using hybrid of Bi-Directional Generative Adversarial Network (Bi-GAN) and B...
COMPUTER SCIENCE May 19, 2026

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

Pius Ekwo Kekong, Joseph S. Igwe, Michael E. Ekpo, Nicholas Adeiza Victor
Gliomas are among the most aggressive brain tumors experienced and the accurate classification of such disease is critical for effective diagnosis and...

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