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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 SCIENCE Jul 24, 2026

DEVELOPMENT OF A REAL-TIME VULNERABILITY MANAGEMENT SYSTEM FOR HEALTHCARE CYBER-PHYSICAL SYSTEMS USING A HYBRID DEEP LEARNING

Mba Chioma Juliet, Amadi Gloria Ebere, Ezugwu Lilian Martina
The growth of the utilization of Internet of Things (IoT) and cyber-physical systems (CPS) in the healthcare sector has come along with new vulnerabil...
POWER SYSTEM Jul 24, 2026

MINIMIZATION OF POWER DISTRIBUTION SYSTEM HARMONICS USING HIGH VOLTAGE DIRECT CURRENT BASED THREE PHASE HARMONIC FILTER

Okoli C.J., Eke J., Iyidiobi J.
This paper presents the minimization of 075MVA, 11/0.45KV power distribution system harmonics using High Voltage Direct Current Link (HVDC) and three ...
CYBERSECURITY Jul 24, 2026

STUDY ON ZERO-DAY ATTACK MANAGEMENT CHALLENGES AND SOLUTION

Nyia Okechukwu Cosmos., Gilbert Aimufua., Julius Adebowale M., Victor Emmanuel Kulugh
Zero-day attacks pose one of the most formidable challenges in modern cybersecurity due to their unpredictability and the absence of prior signatures....
Control system engineering Jul 24, 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...
HEALTH Jul 24, 2026

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...
CONTROL SYSTEM ENGINEERING Jul 24, 2026

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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