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Volume 4 Issue III, Mar 2025

THE REVOLUTION OF THE EDUCATIONAL SECTOR BY MACHINE LEARNING AND ARTIFICIAL INTELLIGENCE

Nnenna Harmony Nwobodo-Nzerebe, Aghaizu Herman Chijioke,

This paper reviews the impacts of machine learning and artificial intelligence technology to improve the educational sector and teaching/learning efficiency. In the study, a systematic review and m...

OPTIMIZING NETWORK RADIO RESOURCE MANAGEMENT USING MACHINE LEARNING TECHNIQUE FOR TRAFFIC IMPROVEMENT

Nnenna Harmony Nwobodo-Nzerebe, Ebere Uzoka Chidi

In the world of communication networks, which provide services to a variety of highly demanding applications, effective resource allocation is essential to guaranteeing maximum efficiency and user ...

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

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

Fileless malware is a significant cybersecurity threat because of its ability to operate without traditional file-based signatures which makes it challenging for conventional security techniques to...

MULTIMODAL BIOMETRIC RECOGNITION SYSTEM USING DEEP CONVOLUTIONAL NEURAL NETWORK

*Ekpo Michael E.

This study presents a Deep Convolutional Neural Network (Deep CNN) model for multimodal biometric recognition, integrating facial and gait features to enhance person identification, especially in s...

DESIGN OF A CNN-BASED EXTRACTOR FOR OPTIMAL CLASSIFICATION OF PANCREATIC CANCER

Anameje Chinwe A.*, Ogochukwu Okeke

This study presents a Convolutional Neural Network (CNN) based extractor for the automated tracking and detection of pancreatic tumors using a combination of CNN, as a feature extractor, ResNet and...

ADVANCE DEEP LEARNING MODEL FOR DIGITAL SEGMENTATION OF PANCREATIC CANCER

Anameje Chinwe A.*, Ike Mgbeaafulike

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 critical role in improving survival rates, but thi...

CRITICAL STUDY OF THE OOP, FEATURES, IMPLEMENTATION AND ATTRACTED STRENGHTS TO JAVA PROGRAMMING LANGUAGE

P.E. Kekong *, Ewhenke B. Kekong, Michael E. Ekpo

The Java programming language's Object-Oriented Programming (OOP) characteristics are thoroughly examined in this paper, along with their benefits and drawbacks. The cornerstone for creating reliab...