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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 Sep 04, 2025

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...
COMPUTER ENGINEERING Sep 04, 2025

OPTIMIZING NETWORK RADIO RESOURCE MANAGEMENT USING MACHINE LEARNING TECHNIQUE FOR TRAFFIC IMPROVEMENT

Nnenna Harmony Nwobodo-Nzerebe, Ebere Uzoka Chidi
In the world of communication networks, which provide services to a variety of highly demanding applications, effective resource allocation is essenti...
Computer Science Sep 04, 2025

DESIGN OF A SMART AGRICULTURE SYSTEM FOR PEST MANAGEMENT BASED ON TRANSFER LEARNING AND IOT TECHNIQUES

Nnaemeka Frances O., Ogochukwu Okeke
Pests are organism that causes damage to crops in a farm land. For many years, this organism has continued to evolve and some have even become resista...
POWER Sep 04, 2025

MITIGATION OF LOSSES IN POWER SYSTEM THROUGH LOAD FORECASTING USING DEEP NEURAL NETWORK ARCHITECTURE

Mbamalu I.C.
This study presents a Deep Neural Network (DNN) model for short-term load forecasting for mitigation of losses in power system. The model developed in...
Control System Engineering Sep 04, 2025

DEVELOPMENT OF A DEEP LEARNING MODEL FOR THE PREVENTION AND CONTROL OF ROAD ACCIDENT

Engr. Dr. Harbor M.C.(Ph.D.)
This paper describes the development of a convolutional neural network (CNN) based vehicle accident prevention and control system which is developed t...
COMPUTER SCIENCE Sep 04, 2025

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...

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