COMPUTER SCIENCE Feb 28, 2026

CLASSIFICATION MODEL FOR CARDIOTOCOGRAM MACHINE USING FEED FORWARD NEURAL NETWORK

Pius Ekwo Kekong, Kwubeghari Anthony., Chiawa Chidimma

Volume 4 Issue I, Jan 2025

International Journal Of Real-Time Applications And Computing Systems (IJORTACS)

One of primary concerns during pregnancy is the challenge of accurate monitoring of Fetal Heart Rate (FHR) and interpretation of cardiogram data to he...

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1,490 views

Control system engineering Feb 28, 2026

IMPROVING THE BOTTLE CAPPING SYSTEM WITH AN ADAPTIVE MODEL PREDICTIVE CONTROLLER

Nnaji C.S., Eke J.

Volume 1 Issue XII, Dec 2022

International Journal Of Real-Time Applications And Computing Systems (IJORTACS)

This work is aimed at improving the bottle capping system with an adaptive model predictive controller. To achieve this, first, a robust pneumatic fri...

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1,484 views

COMPUTER SCIENCE Feb 28, 2026

TRANSFER LEARNING MULTI-MODAL APPROACH FOR CARDIOVASCULAR DISEASE PROGNOSIS

Kamalu Maureenwendy C., Okeke Ogochukwu C., Aghaizu Herman Chijioke

Volume 4 Issue VIII, Aug 2025

International Journal Of Real-Time Applications And Computing Systems (IJORTACS)

Despite the development of modern medicine being in progress, CVD is still the leading cause of death worldwide (responsible for 32% mortality). Altho...

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1,496 views

COMPUTER SCIENCE Feb 28, 2026

ADVANCE DEEP LEARNING MODEL FOR DIGITAL SEGMENTATION OF PANCREATIC CANCER

Anameje Chinwe A., Ike Mgbeaafulike

Volume 4 Issue III, Mar 2025

International Journal Of Real-Time Applications And Computing Systems (IJORTACS)

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...

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1,492 views

Engineering Feb 28, 2026

SIMULATED CHARACTERIZATION OF 5G NETWORK RESILIENCE TO ADVERSARIAL ATTACK

Okafor C. J. Abonyi D.O. and Ene P.C.

Volume 4 Issue X, Oct 2025

International Journal Of Real-Time Applications And Computing Systems (IJORTACS)

Adversarial attack is an attack tactics employed by cybercriminals to deceive modern network security systems and penetrate networks for cyber attack....

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1,517 views

Engineering Feb 28, 2026

IMPROVING POWER TRANSMISSION SYSTEM TRANSIENT STABILITY USING PARTICLE SWARM OPTIMIZATION TECHNIQUE

Nduka Samuel E., Ilo F.U.

Volume 2 Issue VIII, Aug 2023

International Journal Of Real-Time Applications And Computing Systems (IJORTACS)

This paper presents a study on improving power transmission system transient stability using the particle swarm optimization (PSO) technique. The rese...

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1,488 views

computer science Feb 28, 2026

DEVELOPMENT OF AN INTELLIGENT FILELESS MALWARE CLASSIFICATION SYSTEM USING OPTIMIZED DEEP LEARNING TECHNIQUE

Nwafor Anthony C, Mgbeafulike I.J., Okeke O.C.

Volume 4 Issue III, Mar 2025

International Journal Of Real-Time Applications And Computing Systems (IJORTACS)

Fileless malware is a significant cybersecurity threat because of its ability to operate without traditional file-based signatures which makes it chal...

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1,499 views

POWER Feb 28, 2026

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

Mbamalu I.C.

Volume 4 Issue IV, Apr 2025

International Journal Of Real-Time Applications And Computing Systems (IJORTACS)

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...

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1,497 views

Computer Science Feb 28, 2026

A HYBRID DEEP LEARNING ARCHITECTURE FOR ROBUST VULNERABILITY CLASSIFICATION

Ekpo, Michael, E., Ituma, Chinagolum, Pius, Ekwo, K.

Volume 5 Issue II, Feb 2026

International Journal Of Real-Time Applications And Computing Systems (IJORTACS)

The increasing sophistication of cyber threats, particularly against critical infrastructure like healthcare Internet of Things (IoT) networks, demand...

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1,520 views

Mathematics Feb 28, 2026

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

Ugo Donald Chukwuma

Volume 4 Issue IX, Sep 2025

International Journal Of Real-Time Applications And Computing Systems (IJORTACS)

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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1,500 views

Cybersecurity Feb 28, 2026

IMPROVING THE PERFORMANCE OF HUB BASE TRANSCEIVER STATION USING HYBRID OF ADAPTIVE INTERFERENCE CANCELLER AND HIBERNATION MODE TECHNIQUE

Samuel C. Anih, J. Eke, Emetu Chukwuma Kalu

Volume 4 Issue II, Feb 2025

International Journal Of Real-Time Applications And Computing Systems (IJORTACS)

The paper proposes a hybrid of adaptive interference canceller and fuzzy hibernation controller for improving the performance of a hub base transceive...

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1,505 views

Computer Science Feb 28, 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.

Volume 4 Issue X, Oct 2025

International Journal Of Real-Time Applications And Computing Systems (IJORTACS)

Gliomas are among the most aggressive brain tumors experienced and the accurate classification of such disease is critical for effective diagnosis and...

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1,513 views

Published Research Papers

Search Results

CLASSIFICATION MODEL FOR CARDIOTOCOGRAM MACHINE USING FEED FORWARD NEURAL NETWORK

IMPROVING THE BOTTLE CAPPING SYSTEM WITH AN ADAPTIVE MODEL PREDICTIVE CONTROLLER

TRANSFER LEARNING MULTI-MODAL APPROACH FOR CARDIOVASCULAR DISEASE PROGNOSIS

ADVANCE DEEP LEARNING MODEL FOR DIGITAL SEGMENTATION OF PANCREATIC CANCER

SIMULATED CHARACTERIZATION OF 5G NETWORK RESILIENCE TO ADVERSARIAL ATTACK

IMPROVING POWER TRANSMISSION SYSTEM TRANSIENT STABILITY USING PARTICLE SWARM OPTIMIZATION TECHNIQUE

DEVELOPMENT OF AN INTELLIGENT FILELESS MALWARE CLASSIFICATION SYSTEM USING OPTIMIZED DEEP LEARNING TECHNIQUE

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

A HYBRID DEEP LEARNING ARCHITECTURE FOR ROBUST VULNERABILITY CLASSIFICATION

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

IMPROVING THE PERFORMANCE OF HUB BASE TRANSCEIVER STATION USING HYBRID OF ADAPTIVE INTERFERENCE CANCELLER AND HIBERNATION MODE TECHNIQUE

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

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