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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) Jun 09, 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...
Electrical Engineering Jun 09, 2026

MODELLING OF AN INTELLIGENT VIRTUAL POWER PLANT FOR OPTIMAL ENERGY NETWORK MANAGEMENT AND CONTROL USING MACHINE LEARNING TECHNIQUE

Ozoani Uchechukwu I., Eneh Innocent. I., Ani Okwuchukwu Innocent
This paper presents the modeling of an intelligent virtual power plant for optimal energy network management and control using machine learning techni...
COMMUNICATION SYSTEM ENGINEERING Jun 09, 2026

INVESTIGATING THE IMPACT OF ADAPTIVE DECISION-FEEDBACK EQUALIZER IN WIRELESS COMMUNICATION NETWORKS

Nwobodo Harmony N., Ezeji Georginia N.
This study investigates the performance and operation of the adaptive Decision-Feedback Equalizer (DFE) in wireless communication networks. The DFE is...
ROBOTICS Jun 09, 2026

IMPROVING THE PERFORMANCE OF OBSTACLE DETECTION AND AVOIDANCE AUTONOMOUS MOBILE ROBOT USING TRANSFER LEARNING TECHNIQUE

Onah C.B., Asogwa T.C.
This paper is targeted at improving the performance of an obstacle avoidance autonomous mobile robot using transfer learning technique. This research ...
COMPUTER SCIENCE Jun 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...
5G Security Jun 09, 2026

ENHANCING CYBER-SECURITY FOR 5G NETWORK: A FOCUS ON MACHINE LEARNING BASED THREAT DETECTION

Nweke Okwuchukwu A., Ugwu Edith A., Asogwa Tochukwu C., Kwubeghari A
This study explores the evolution of wireless technology from 1G to 5G, highlighting the progress and benefits of 5G networks, including faster data s...

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