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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 Nov 30, 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...
Mathematics Nov 30, 2025

MATHEMATICAL MODELING OF THE DYNAMIC BEHAVIOUR OF REINFORCEMENT THEORY: A NOVEL APPROACH

Ugo Donald Chukwuma
This study develops a mathematical model using a system of differential equations to describe the dynamics of reinforcement and punishment on behaviou...
Artificial Intelligence Nov 30, 2025

DEVELOPMENT OF E-NOSE FOR DETECTION OF HAZARDOUS GASES USING MACHINE LEARNING APPROACH

Idam V.C., Mba L.D., Asogwa T.C., Ebere U.C
This paper presents the development of an e-nose for the detection of hazardous gases using a machine learning approach. The aim was to develop an int...
COMPUTER SCIENCE Nov 30, 2025

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...
Electrical Engineering Nov 29, 2025

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...
HEALTH Nov 29, 2025

A PREDICTIVE ALGORITHM FOR EARLY DETECTION OF NEUROPATHIC DIABETES USING MACHINE LEARNING

Eze Jennifer C., Ezeh Ebere M., Chibueze Kingsley I., Kekong Pius E.
This paper presents a predictive algorithm for the early detection of neuropathic diabetes using machine learning. The study aimed at developing a mac...

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