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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 Jun 09, 2026

UNRAVELLING THE INTRICACIES OF LITHIUM-ION BATTERY AND ITS DEGRADATION DYNAMICS

Ani Malachy Ikenna, Eneh Innocent Ifeanyichukwu, Obasi Emmanuel Chukwubueze
In order to solve degradation-related difficulties, a thorough knowledge of lithium-ion battery (LIB) behaviour is important given the rapid expansion...
Image Processing Jun 09, 2026

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 ...
Engineering Jun 09, 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...
Engineering Jun 09, 2026

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...
Computer Science Jun 09, 2026

A HYBRID DEEP LEARNING MODEL TO AUTOMATE THE CLASSIFICATION AND SEGMENTATION OF GLIOMA TUMORS FROM MRI MEDICAL IMAGES

Oliokwe, Bibian N., Chukwu, Chikaodili C.
Gliomas are among the most aggressive brain tumors experienced and the accurate classification of such disease is critical for effective diagnosis and...
CONTROL SYSTEM ENGINEERING Jun 09, 2026

IMPROVING THE PERFORMANCE OF BASIC PROCESS CONTROL SYSTEM FOR OPTIMAL CEILING BOARD PRODUCTION

Odo Nathaniel S., Eneh Innocent I., Ene Princewill C.
This paper “improving the performance of basic process control system for optimal ceiling board production” was presented for the intellig...

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