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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 Engineering Jan 14, 2026

Improving The Power System Stability of a Wind Turbine System Using Doubly Fed Induction Generator

Alice Agwu., Eke James
This research presents improving the power system stability of a wind turbine system using Doubly Fed Induction Generator (DFIG). This was embarked on...
BIOMETRIC TECHNOLOGY Jan 14, 2026

DEVELOPMENT OF BIOMETRIC EXAM FRAUD DETECTION SYSTEM USING ARTIFICIAL INTELLIGENCE TECHNIQUE

Igwe T.C., Olofin B.B., Asogwa T.C.,
This paper presents the development of biometric exam fraud detection system using artificial intelligence technique. This aim is to employ facial rec...
Computer Science Jan 14, 2026

CRITICAL STUDY OF THE OOP, FEATURES, IMPLEMENTATION AND ATTRACTED STRENGHTS TO JAVA PROGRAMMING LANGUAGE

P.E. Kekong , Ewhenke B. Kekong, Michael E. Ekpo
The Java programming language's Object-Oriented Programming (OOP) characteristics are thoroughly examined in this paper, along with their benefits and...
Artificial Intelligence Jan 14, 2026

IMPROVING AUTOMATIC BRAKE PERFORMANCE IN NONLINEAR VEHICLE USING ARTIFICIAL INTELLIGENCE TECHNIQUE

Mmamel N.G., Prof. Eke J., Ebere U.C.
This paper presents improving automatic brake performance in nonlinear vehicles using artificial intelligence techniques. An empirical study of a fuz...
COMPUTER SCIENCE Jan 14, 2026

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...
ROBOTICS Jan 14, 2026

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...

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