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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

Electronic and communication (real time application on computing system of cyber threat detection and mitigation) Jan 16, 2026

MODELING AND CONTROL OF VEHICULAR TRAFFIC SYSTEMS USING ARTIFICIAL INTELLIGENT NETWORK

Utibe-AbasiAbia Udoh, Umana Thompson Itaketo, Udofia Kingsley M., OgbonnayaIrukwu Joe
Artificial intelligence (AI) has emerged as a transformative tool in addressing complex urban challenges, including traffic congestion in densely popu...
Scheduling Algorithm Jan 16, 2026

AN ENHANCED DYNAMIC TIME QUANTUM MEAN ROUND ROBIN ALGORITHM FOR EFFICIENT RESOURCE ALLOCATION IN CLOUD COMPUTING

Bamaiyi Sule, Dr. Etemi Joshua Garba, Dr. Yusuf Musa Malgwi
This study presents an impartial scheduling algorithm that allocates the same time quantum to all processes. The selection of time quantum and preempt...
Control system engineering Jan 16, 2026

OPTIMAL CONTROL SIMULATION OF DIESEL INJECTION SYSTEM USING NEURO MODEL PREDICTIVE-BASED ELECTRONIC CONTROL UNIT

Odoh A.I., Eneh I.I.
This paper presents an optimal control simulation of a diesel injection system using a Neuro model predictive-based Electronic Control Unit (ECU). The...
Artificial Intelligence Jan 16, 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...
Computer Science Jan 16, 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...
COMPUTER SCIENCE Jan 16, 2026

A DEEP LEARNING FRAMEWORK FOR REAL-TIME CYBER THREAT DETECTION AND MITIGATION IN NETWORKED ENVIRONMENTS

Ezeh Ebere M., Asogwa T.C.
The changing nature of the frequency and complexity of cyber threats necessitates the need to implement network security based on intelligent and adap...

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