COMPUTER SCIENCE Apr 15, 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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1,632 views

COMPUTER SCIENCE Apr 15, 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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1,614 views

Electrical Engineering Apr 15, 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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1,671 views

Mathematics Apr 15, 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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1,643 views

COMPUTER SCIENCE Apr 15, 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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1,580 views

Artificial Intelligence Apr 15, 2026

IMPROVING CONGESTION CONTROL IN A PACKET SWITCHED NETWORK USING FAIR QUEUING TECHNIQUE

Uzochukwu M., Prof. Onoh G.N.

Volume 1 Issue VI, Jun 2022

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

This work presents improving congestion control in a packet-switched network using a fair queuing technique. The aim is to reduce the delay experience...

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1,625 views

Engineering Apr 15, 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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1,631 views

Computer Science Apr 15, 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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1,580 views

COMPUTER SCIENCE Apr 15, 2026

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

Pius Ekwo Kekong, Joseph S. Igwe, Michael E. Ekpo, Nicholas Adeiza Victor

Volume 4 Issue XI, Nov 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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1,620 views

Cybersecurity Apr 15, 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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18 views

Cybersecurity Apr 15, 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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21 views

COMPUTER SCIENCE Apr 15, 2026

BRAIN TUMOR IMAGE (BTI) DETECTION AND CLASSIFICATION USING AN ENHANCED YOU ONLY LOOK ONCE VERSION 8 (YOLOV8) ARCHITECTURE

Okeke O.C., Ibeonu O. C.

Volume 4 Issue XII, Dec 2025

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

Brain tumours have been known to be detected early and accurately as a constituent of effective clinical intervention and better patient survival. Nev...

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1,610 views

Published Research Papers

Search Results

TRANSFER LEARNING MULTI-MODAL APPROACH FOR CARDIOVASCULAR DISEASE PROGNOSIS

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

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

ADVANCE DEEP LEARNING MODEL FOR DIGITAL SEGMENTATION OF PANCREATIC CANCER

IMPROVING CONGESTION CONTROL IN A PACKET SWITCHED NETWORK USING FAIR QUEUING TECHNIQUE

SIMULATED CHARACTERIZATION OF 5G NETWORK RESILIENCE TO ADVERSARIAL ATTACK

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 FROM MRI MEDICAL IMAGES

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

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

BRAIN TUMOR IMAGE (BTI) DETECTION AND CLASSIFICATION USING AN ENHANCED YOU ONLY LOOK ONCE VERSION 8 (YOLOV8) ARCHITECTURE

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