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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

Electrical Power Sep 28, 2025

MINIMIZATION OF POWER LOSSES IN 33/11KV DISTRIBUTION NETWORK USING GENETIC ALGORITHM AND SHUNT COMPENSATION TECHNQIUE

Odi Chioma Adanma, F. U. ILO
This paper presents the minimization of power losses in 33/11KV distribution network using genetic algorithm and shunt capacitor compensation. A techn...
Computer Science Sep 28, 2025

THE USE OF MACHINE LEARNING MODEL FOR AUTOMATIC DETECTION OF ROAD TRAFFIC SIGNS

Oji Nkechi Blessing
This study introduces an improved method for traffic sign detection and recognition, specifically designed for complex urban environments and varying ...
Communication Technology Sep 28, 2025

MACHINE LEARNING-BASED INTERFERENCE DETECTION AND MANAGEMENT SYSTEM FOR 5G HETEROGENEOUS NETWORK

Onogwu John O., Abonyi Dorathy O.
Interference remains a critical challenge in next-generation wireless networks, affecting both quality of service (QoS) and spectral efficiency. This ...
ROBOTICS Sep 28, 2025

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...
COMPUTER SCIENCE Sep 28, 2025

DEVELOPMENT OF AN INTELLIGENT SUBJECTIVE-BASED EXAMINATION MARKING AND SCORING SYSTEM USING MACHINE LEARNING TECHNIQUE

Adonu Stella U., Echezona Stephenson C.
This paper presents the development of an improved computer-based examination and automatic marking system using machine learning technique. The major...
CONTROL SYSTEM ENGINEERING Sep 28, 2025

MODELING OF VEHICLE ACCIDENT PREVENTION AND CONTROL SYSTEM USING MACHINE LEARNING TECHNIQUE

Ozioko Kingsley O., Eneh Innocent I., Ene Princewill C.
This paper presents the modeling of vehicle accident prevention and control system using machine learning technique. The study revealed from literatur...

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