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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

Engineering Sep 10, 2026

Kalman Filter Based Sliding Window Approach For Optimized Link Control In 4G Wireless Network

Okoro Patience Njideka, Eke James and Onuigbo C. M.
This paper presents smart link control scheme for wireless networks based on Kalman filter-sliding window controller. The scheme aims at improving the...
Computer Science Sep 10, 2026

DEVELOPMENT OF A MACHINE LEARNING-BASED HEART DISEASE DETECTION SYSTEM FOR EARLY DIAGNOSIS AND CLINICAL DECISION-MAKING IN RESOURCE-CONSTRAINED RURAL SETTINGS

Agboeze Onyinyechi C., Ugwu Edith A.
Heart disease remains a major cause of morbidity and mortality worldwide and is an emerging public health challenge in rural Nigerian communities, whe...
COMPUTER SCIENCE Sep 10, 2026

DEEP TRANSFER LEARNING–BASED FRAMEWORK FOR AUTOMATED BRAIN TUMOR DETECTION, CLASSIFICATION AND SEGMENTATION USING THE YOLOV8 ARCHITECTURE

Ibeonu Ogochukwu C., Ogochukwu Okeke C.
The presence of complex and heterogeneous tumour characteristics is still a decisive problem in the diagnosis of brain tumours that makes it a signifi...
COMPUTER SCIENCE Sep 10, 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...
COMPUTER SCIENCE Sep 10, 2026

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...
Engineering Sep 10, 2026

Improving Link Control For Enhancing Quality Of Service In Data Networks Using Kalman Filter Based Window Flow Technique

Okoro Patience Njideka, Eke James and Dorathy Obianuju Abonyi
The rapid proliferation of the internet and the heterogeneity of user equipment have led to complex challenges in managing network traffic and ensurin...

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