Computer Science Jun 17, 2026

THE USE OF MACHINE LEARNING MODEL FOR AUTOMATIC DETECTION OF ROAD TRAFFIC SIGNS

Oji Nkechi Blessing

Volume 3 Issue IX, Sep 2024

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

This study introduces an improved method for traffic sign detection and recognition, specifically designed for complex urban environments and varying ...

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1,734 views

Computer Science Jun 17, 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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1,741 views

Computer Science Jun 17, 2026

ARTIFICIAL INTELLIGENCE (AI)-DRIVEN SPECTRUM OPTIMIZATION FRAMEWORK TO ENHANCE QUALITY OF SERVICE IN NIGERIAN MOBILE NETWORKS

Edith Angela Ugwu

Volume 5 Issue V, May 2026

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

The telecommunications industry in Nigeria has been characterised by a boom in mobile subscriptions and internet penetration within the country in the...

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1,699 views

Computer Science Jun 17, 2026

DESIGN AND IMPLEMENTATION OF A DEEP LEARNING-BASED IMAGE CLASSIFICATION SYSTEM USING CONVOLUTIONAL NEURAL NETWORKS

Edith Angela Ugwu

Volume 5 Issue V, May 2026

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

The paper is a design and a realization of a deep learning-driven image classification system with the use of Convolutional Neural Networks (CNNs). Th...

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1,697 views

Cybersecurity Jun 17, 2026

DEVELOPMENT OF AN INTELLIGENT BOTNET DETECTION AND MITIGATION FRAMEWORK USING MACHINE LEARNING TECHNIQUES

Nkechi Oji, Ogochukwu Okeke C., Ike J. Mgbeafulike

Volume 5 Issue III, Mar 2026

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

The rapid evolution of cyber threats, particularly botnet attacks, poses significant risks to network security, challenging traditional defence mechan...

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1,794 views

Cybersecurity Jun 17, 2026

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

Nkechi Oji, Ogochukwu Okeke C., Ike J. Mgbeafulike

Volume 5 Issue III, Mar 2026

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

This study developed an effective botnet detection and management system using machine learning techniques. An ensemble model combining Artificial Neu...

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1,806 views

Computer Science Jun 17, 2026

MACHINE LEARNING-BASED OPTIMIZATION OF FERTILIZER AND IRRIGATION SCHEDULES FOR SUSTAINABLE FARMING

Kekong P. E., Daniel Okopi Eyimoga, Mavollo Christpher Mayat, Jethro Matur Jack

Volume 5 Issue III, Mar 2026

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

Agility farming is necessary in enhancing the productivity of agriculture with minimal environmental consequences. This research paper is a proposal o...

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1,842 views

Communication Technology Jun 17, 2026

AI-DRIVEN SPECTRUM MANAGEMENT IN 5G NETWORK TECHNOLOGY TO IMPROVE NETWORK EFFICIENCY

Solomon Nnaedozie Ogili

Volume 5 Issue III, Mar 2026

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

Spectrum management has become a burning problem in the Fifth-Generation (5G) wireless networks as a result of growing traffic load, scarcity of spect...

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1,876 views

Computer Science Jun 17, 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.

Volume 5 Issue II, Feb 2026

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

Heart disease remains a major cause of morbidity and mortality worldwide and is an emerging public health challenge in rural Nigerian communities, whe...

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1,806 views

Computer Science Jun 17, 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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1,861 views

COMPUTER SCIENCE Jun 17, 2026

DEEP TRANSFER LEARNING–BASED FRAMEWORK FOR AUTOMATED BRAIN TUMOR DETECTION, CLASSIFICATION AND SEGMENTATION USING THE YOLOV8 ARCHITECTURE

Ibeonu Ogochukwu C., Ogochukwu Okeke C.

Volume 4 Issue XII, Dec 2025

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

The presence of complex and heterogeneous tumour characteristics is still a decisive problem in the diagnosis of brain tumours that makes it a signifi...

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1,812 views

Electrical Engineering Jun 17, 2026

The Origin and Review of Historical Development of Computed Tomography (CT) Scan towards improving human Health diagnosis

Nwabueze Charles N, Oluka S.I, Nnenna Harmony Nwobodo-Nzeribe, Agbokwor Blessing

Volume 2 Issue VII, Jul 2023

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

Computed tomography, are often formerly referred to as computerized axial tomography (CAT) scan, which is an X-ray procedure that combines many X-ray ...

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1,914 views

Published Research Papers

Search Results

THE USE OF MACHINE LEARNING MODEL FOR AUTOMATIC DETECTION OF ROAD TRAFFIC SIGNS

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

ARTIFICIAL INTELLIGENCE (AI)-DRIVEN SPECTRUM OPTIMIZATION FRAMEWORK TO ENHANCE QUALITY OF SERVICE IN NIGERIAN MOBILE NETWORKS

DESIGN AND IMPLEMENTATION OF A DEEP LEARNING-BASED IMAGE CLASSIFICATION SYSTEM USING CONVOLUTIONAL NEURAL NETWORKS

DEVELOPMENT OF AN INTELLIGENT BOTNET DETECTION AND MITIGATION FRAMEWORK USING MACHINE LEARNING TECHNIQUES

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

MACHINE LEARNING-BASED OPTIMIZATION OF FERTILIZER AND IRRIGATION SCHEDULES FOR SUSTAINABLE FARMING

AI-DRIVEN SPECTRUM MANAGEMENT IN 5G NETWORK TECHNOLOGY TO IMPROVE NETWORK EFFICIENCY

DEVELOPMENT OF A MACHINE LEARNING-BASED HEART DISEASE DETECTION SYSTEM FOR EARLY DIAGNOSIS AND CLINICAL DECISION-MAKING IN RESOURCE-CONSTRAINED RURAL SETTINGS

A HYBRID DEEP LEARNING ARCHITECTURE FOR ROBUST VULNERABILITY CLASSIFICATION

DEEP TRANSFER LEARNING–BASED FRAMEWORK FOR AUTOMATED BRAIN TUMOR DETECTION, CLASSIFICATION AND SEGMENTATION USING THE YOLOV8 ARCHITECTURE

The Origin and Review of Historical Development of Computed Tomography (CT) Scan towards improving human Health diagnosis

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