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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

NETWORK SECURITY Oct 24, 2026

DEVELOPMENT OF AN INTELLIGENT AND SECURED MODEL FOR A CLOUD-BASED DETECTION OF ADVERSARIAL ATTACKS USING ARTIFICIAL NEURAL NETWORK

Okonkwo Chinonso J., Ogochukwu C. Okeke
To identify and mitigate adversarial attacks, this paper explores the development of an intelligent and secure model for a 5G cloud-based facility uti...
Control System Engineering Oct 24, 2026

MODELING OF INTELLIGENT ROBOTIC GRIPPER FOR PRECISED OBJECT MANIPULATION USING ADAPTIVE CONTROL TECHNIQUE

NWANKWO CHINEDU V., EKE JAMES
This paper presents modeling of an intelligent robotic gripper for précised object manipulation using adaptive controller. The aim was to counter t...
POWER Oct 24, 2026

MITIGATION OF LOSSES IN POWER SYSTEM THROUGH LOAD FORECASTING USING DEEP NEURAL NETWORK ARCHITECTURE

Mbamalu I.C.
This study presents a Deep Neural Network (DNN) model for short-term load forecasting for mitigation of losses in power system. The model developed in...
Electrical Engineering Oct 24, 2026

MODELLING OF AN INTELLIGENT VIRTUAL POWER PLANT FOR OPTIMAL ENERGY NETWORK MANAGEMENT AND CONTROL USING MACHINE LEARNING TECHNIQUE

Ozoani Uchechukwu I., Eneh Innocent. I., Ani Okwuchukwu Innocent
This paper presents the modeling of an intelligent virtual power plant for optimal energy network management and control using machine learning techni...
POWER SYSTEM Oct 24, 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...
Mathematics Oct 24, 2026

MATHEMATICAL MODELING OF THE DYNAMIC BEHAVIOUR OF REINFORCEMENT THEORY: A NOVEL APPROACH

Ugo Donald Chukwuma
This study develops a mathematical model using a system of differential equations to describe the dynamics of reinforcement and punishment on behaviou...

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