CYBERSECURITY Jun 19, 2026

STUDY ON ZERO-DAY ATTACK MANAGEMENT CHALLENGES AND SOLUTION

Nyia Okechukwu Cosmos., Gilbert Aimufua., Julius Adebowale M., Victor Emmanuel Kulugh

Volume 4 Issue VII, Jul 2025

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

Zero-day attacks pose one of the most formidable challenges in modern cybersecurity due to their unpredictability and the absence of prior signatures....

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1,758 views

Computer Science Jun 19, 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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1,874 views

COMPUTER SCIENCE Jun 19, 2026

A DEEP LEARNING FRAMEWORK FOR REAL-TIME CYBER THREAT DETECTION AND MITIGATION IN NETWORKED ENVIRONMENTS

Ezeh Ebere M., Asogwa T.C.

Volume 4 Issue VI, Jun 2025

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

The changing nature of the frequency and complexity of cyber threats necessitates the need to implement network security based on intelligent and adap...

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1,734 views

Communication Technology Jun 19, 2026

MACHINE LEARNING-BASED OPTIMIZATION APPROACH TO MITIGATE MULTIPATH IN COMPLEX WIRELESS NETWORK ENVIRONMENTS

Amaechi, Chijindu, O., Mgbachi, C.A., Onuigbo, Chika, M.

Volume 4 Issue X, Oct 2025

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

Multipath propagation remains a major challenge in wireless communication systems, causing signal degradation, fading, and reduced transmission reliab...

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1,735 views

Communication Technology Jun 19, 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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1,889 views

Cybersecurity Jun 19, 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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1,808 views

Cybersecurity Jun 19, 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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1,821 views

Electrical Engineering Jun 19, 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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1,932 views

COMPUTER SCIENCE Jun 19, 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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1,812 views

HEALTH Jun 19, 2026

A PREDICTIVE ALGORITHM FOR EARLY DETECTION OF NEUROPATHIC DIABETES USING MACHINE LEARNING

Eze Jennifer C., Ezeh Ebere M., Chibueze Kingsley I., Kekong Pius E.

Volume 1 Issue X, Oct 2022

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

This paper presents a predictive algorithm for the early detection of neuropathic diabetes using machine learning. The study aimed at developing a mac...

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1,802 views

ROBOTICS Jun 19, 2026

MODELING A DEEP LEARNING AND FUZZY LOGIC-BASED BEHAVIORAL APPROACH FOR AUTONOMOUS NAVIGATION OF A ROBOT IN A GLOBAL POSITIONING SYSTEM (GPS) DENIED ENVIRONMENT

Innocent Ifeanyichukwu Eneh, Princewill Chigozie Ene, Emmanuel C. Obasi

Volume 1 Issue X, Oct 2022

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

This paper presents the modeling of a deep learning and fuzzy logic behavioral approach for the autonomous navigation of a robot in a Global Positioni...

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1,747 views

Electrical Engineering (Power system) Jun 19, 2026

AN OVERVIEW OF THE CHALLENGES TO THE ADOPTION OF SMART GRID TECHNOLOGY IN THE NIGERIA POWER SYSTEM.

Eleje, N.E., Eneh, I.I., Onuigbo, C.M.

Volume 4 Issue XI, Nov 2025

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

The growingcomplexity of modern power systems have driven the need for efficient and effective energy distribution mechanisms. Smart grid system has s...

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1,752 views

Published Research Papers

Search Results

STUDY ON ZERO-DAY ATTACK MANAGEMENT CHALLENGES AND SOLUTION

A HYBRID DEEP LEARNING ARCHITECTURE FOR ROBUST VULNERABILITY CLASSIFICATION

A DEEP LEARNING FRAMEWORK FOR REAL-TIME CYBER THREAT DETECTION AND MITIGATION IN NETWORKED ENVIRONMENTS

MACHINE LEARNING-BASED OPTIMIZATION APPROACH TO MITIGATE MULTIPATH IN COMPLEX WIRELESS NETWORK ENVIRONMENTS

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

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

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

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

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

A PREDICTIVE ALGORITHM FOR EARLY DETECTION OF NEUROPATHIC DIABETES USING MACHINE LEARNING

MODELING A DEEP LEARNING AND FUZZY LOGIC-BASED BEHAVIORAL APPROACH FOR AUTONOMOUS NAVIGATION OF A ROBOT IN A GLOBAL POSITIONING SYSTEM (GPS) DENIED ENVIRONMENT

AN OVERVIEW OF THE CHALLENGES TO THE ADOPTION OF SMART GRID TECHNOLOGY IN THE NIGERIA POWER SYSTEM.

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