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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 08, 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...
BIOMETRIC TECHNOLOGY Sep 07, 2025

CONVOLUTIONAL NEURAL NETWORK MODEL FOR HEART DISEASE CLASSIFICATION

Nwobodo Nnenna H., Ezigbo Lucy I.
Heart disease has dominated the cause of mortality rate in the world. In western African, high kolanut intake has been reported to be one of the main ...
Control System Engineering Sep 07, 2025

DEVELOPMENT OF AN INTELLIGENT ROBOTIC GRIPPER FOR OBJECT MANIPUTATION USING ADAPTIVE CONTROLLER

Engr. Dr. Harbor M.C.(Ph.D.)
This study presents development of an intelligent robot gripper for précised object manipulation using adaptive controller. The aim was to counter th...
Medical Image Data Labelling Sep 07, 2025

INTELLIGENT MEDICAL IMAGE DATA LABELLING HEALTHCARE AUTOMATION USING DEEP LEARNING TECHNIQUE

ILOFULUNWA C.G, AKUNNE O.E
The goal of this paper was to create a software application system medical image classification through automated data labelling for healthcare utilis...
Electronic and communication Sep 07, 2025

SMART CYBER THREAT DETECTION AND MITIGATION USING DEEP PACKET INSPECTION AND DECEPTION BASED MACHINE LEARNING TECHNIQUE

OgbonnayaIrukwu Joe, Kufre M. Udofia, Akaninyene Bernard Obot.
The increasing complexity of cyber threats has made traditional network defence mechanisms inadequate; especially in smart environments handling high-...
power system Sep 07, 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 ...

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