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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 Aug 13, 2025

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...
Image Processing Aug 13, 2025

A Novel Method for Medical Image Classification

Tanima G., Jayanthi N.
Breast cancer stands out as one of the most noticeable and impassive diseases worldwide, primarily affecting women. Detecting it at its initial stage ...
Electrical Engineering Aug 13, 2025

Frequency Stability of the Nigerian 330kV Transmission Network using ANN Controller

Chukwuegbo, A. E., Eleje N.E., Ezeh N. C.
The Nigerian power sector faces frequent frequency instability issues that disrupt the balance between electricity supply and demand, causing power ou...
Cyber Security Aug 13, 2025

The Future of Network Security in Developing Economies: Challenges and Opportunities

Ifeanyi Damian Udeani, Dorathy Obianuju Abonyi
The speed at which developing economies are adopting cloud technologies has begun redefining not only industries but also public services. With this c...
COMPUTER SCIENCE Aug 13, 2025

ADVANCE DEEP LEARNING MODEL FOR DIGITAL SEGMENTATION OF PANCREATIC CANCER

Anameje Chinwe A., Ike Mgbeaafulike
Pancreatic Cancer (PC) is among the deadliest forms of cancer, with a high mortality rate due to its often-late diagnosis. Early detection plays a cri...
COMPUTER SCIENCE Aug 13, 2025

CLASSIFICATION MODEL FOR CARDIOTOCOGRAM MACHINE USING FEED FORWARD NEURAL NETWORK

Pius Ekwo Kekong, Kwubeghari Anthony., Chiawa Chidimma
One of primary concerns during pregnancy is the challenge of accurate monitoring of Fetal Heart Rate (FHR) and interpretation of cardiogram data to he...

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