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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

Artificial Intelligence Jul 25, 2026

IMPROVING CONGESTION CONTROL IN A PACKET SWITCHED NETWORK USING FAIR QUEUING TECHNIQUE

Uzochukwu M., Prof. Onoh G.N.
This work presents improving congestion control in a packet-switched network using a fair queuing technique. The aim is to reduce the delay experience...
Control System Engineering Jul 25, 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...
Computer Science Jul 25, 2026

IMPROVING JUDICIAL ADMINISTRATION: AN ELECTRONIC COURT CASE MANAGEMENT SYSTEM APPROACH

Onyia U. C., Olofin B.B., Asogwa T.C.
Recently, the need for efficient case management and the prompt delivery of justice has become increasingly evident as a catalyst to improve the integ...
COMPUTER SCIENCE Jul 25, 2026

BRAIN TUMOR IMAGE (BTI) DETECTION AND CLASSIFICATION USING AN ENHANCED YOU ONLY LOOK ONCE VERSION 8 (YOLOV8) ARCHITECTURE

Okeke O.C., Ibeonu O. C.
Brain tumours have been known to be detected early and accurately as a constituent of effective clinical intervention and better patient survival. Nev...
Computer Science Jul 25, 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...
Electronic and communication Jul 25, 2026

SMART CYBER THREAT DETECTION AND MITIGATION USING DEEP PACKET INSPECTION AND DECEPTION BASED MACHINE LEARNING TECHNIQUE

OgbonnayaIrukwu Joe, Kufre M. Udofia, Akaninyene Bernard Obot.
The increasing complexity of cyber threats has made traditional network defence mechanisms inadequate; especially in smart environments handling high-...

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