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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 Sep 04, 2025

DEVELOPMENT OF AN INTELLIGENT FILELESS MALWARE CLASSIFICATION SYSTEM USING OPTIMIZED DEEP LEARNING TECHNIQUE

Nwafor Anthony C, Mgbeafulike I.J., Okeke O.C.
Fileless malware is a significant cybersecurity threat because of its ability to operate without traditional file-based signatures which makes it chal...
Engineering Sep 04, 2025

Energy efficiency in MANET

Onyiaji, N.C. and Mbachu, C.B.
This paper presents the improvement ofenergy efficiency on a mobile ad-hoc network(MANET) using an energy optimization algorithm (EOA). The study addr...
power system Sep 04, 2025

IMPROVING THE POWER GENERATION EFFICIENCY OF WIND TURBINE GENERATION USING WIND TRACKER

Emuchay V.I., Ebere U.C
This work presents improving the power generation efficiency of wind turbine generation using wind tracker. The aim is to optimize the performance of ...
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...
Cybersecurity Sep 04, 2025

A SMART ADVERSARIAL THREATS DETECTION SYSTEM USING HYBRID OF BIGAN-BIGRU TECHNIQUE

Ojiako F.N., Mgbeafulike I.J., Okeke O.C
The study presents modelling a smart adversarial threats detection system using hybrid of Bi-Directional Generative Adversarial Network (Bi-GAN) and B...
COMPUTER SCIENCE Sep 04, 2025

TRANSFER LEARNING MULTI-MODAL APPROACH FOR CARDIOVASCULAR DISEASE PROGNOSIS

Kamalu Maureenwendy C., Okeke Ogochukwu C., Aghaizu Herman Chijioke
Despite the development of modern medicine being in progress, CVD is still the leading cause of death worldwide (responsible for 32% mortality). Altho...

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