Indexed in:
Google Scholar Crossref ResearchGate Academia.edu
Google Scholar Crossref ResearchGate Academia.edu Google Scholar Crossref ResearchGate Academia.edu

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

POWER SYSTEM Apr 25, 2026

INTELLIGENT TECHNIQUE FOR STABILIZING THE RESPONSE TIME OF TRANSMISSION LINE PROTECTION RELAY

Eze Robert John, Ani Maduka
It is impossible to develop a fault free system, regardless of how perfect the design might be, as time improves the system reliability and mean time ...
Computer Science Apr 25, 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...
POWER SYSTEM Apr 25, 2026

IMPROVING THE QUALITY OF POWER SUPPLY IN MARYLAND 11KV DISTRIBUTION NETWORK USING PASSIVE HARMONIC FILTERING SCHEME

Ozi Emmanuel O., Ibekwe Basil
This paper presents improving the quality of power supply in 0.75MVA, Maryland 33/11kv distribution network using passive harmonic filtering scheme. T...
COMPUTER SCIENCE Apr 25, 2026

DEVELOPMENT OF MULTI LEVEL INTRUSION DETECTION SYSTEM FOR CLOUD BASED LOG MANAGEMENT USING MACHINE LEARNING TECHNIQUE

Oduah O., Olofin B.B., Asogwa T.C.
This paper presents development of a Multi Level Intrusion Detection System (MLIDS) for cloud-based log management using machine learning technique. T...
Cybersecurity Apr 25, 2026

ENSEMBLE MACHINE LEARNING-BASED BOTNET DETECTION AND REAL-TIME MITIGATION SYSTEM

Nkechi Oji, Ogochukwu Okeke C., Ike J. Mgbeafulike
This study developed an effective botnet detection and management system using machine learning techniques. An ensemble model combining Artificial Neu...
COMPUTER SCIENCE Apr 25, 2026

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...

Ready to Publish Your Research?

Join our community of researchers and contribute to International Journal Of Real-Time Applications And Computing Systems (IJORTACS)

Loading...

We respect your privacy and never share your information