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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 ENGINEERING Mar 03, 2026

THE REVOLUTION OF THE EDUCATIONAL SECTOR BY MACHINE LEARNING AND ARTIFICIAL INTELLIGENCE

Nnenna Harmony Nwobodo-Nzerebe, Aghaizu Herman Chijioke,
This paper reviews the impacts of machine learning and artificial intelligence technology to improve the educational sector and teaching/learning effi...
BIOMETRIC TECHNOLOGY Mar 03, 2026

DEVELOPMENT OF GHOST WORKERS DETECTION SYSTEM USING ARTIFICIAL INTELLIGENCE BASED BIOMETRIC TECHNOLOGY

Nzeh Chika D., Inyama Hyacinth C.
This paper presents the development of ghost worker detection system using artificial intelligence based biometric technology. The study began with li...
COMMUNICATION SYSTEM ENGINEERING Mar 03, 2026

THE CHALLENGES OF IMPLEMENTING IOT-BASED MONITORING AND CONTROL SYSTEMS FOR OIL PIPELINES

Ola E.O., Prof. Eke James, Ezeh N.C.
The adoption of Internet of Things (IoT)-based monitoring and control systems in the oil and gas industry offers the promise of revolutionizing pipeli...
ROBOTICS Mar 03, 2026

MODELING A DEEP LEARNING AND FUZZY LOGIC-BASED BEHAVIORAL APPROACH FOR AUTONOMOUS NAVIGATION OF A ROBOT IN A GLOBAL POSITIONING SYSTEM (GPS) DENIED ENVIRONMENT

Innocent Ifeanyichukwu Eneh, Princewill Chigozie Ene, Emmanuel C. Obasi
This paper presents the modeling of a deep learning and fuzzy logic behavioral approach for the autonomous navigation of a robot in a Global Positioni...
Engineering Mar 03, 2026

Improving Link Control For Enhancing Quality Of Service In Data Networks Using Kalman Filter Based Window Flow Technique

Okoro Patience Njideka, Eke James and Dorathy Obianuju Abonyi
The rapid proliferation of the internet and the heterogeneity of user equipment have led to complex challenges in managing network traffic and ensurin...
Engineering Mar 03, 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...

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