Journal Articles (CI)
Browse by
Recent Submissions
-
Big Data Analytics in Healthcare: Predictive Modeling, Privacy Challenges, and Global Regulatory Compliance
(International Journal of Computer and Information Technology, 2025)Big Data Analytics (BDA) is increasingly central to modern healthcare, promising transformative improvements in patient care, operational efficiency, and predictive disease modeling. However, the sensitive nature of health ... -
An English-Swahili Email Spam Detection Model for Improved Accuracy Using Convolutional Neural Networks
(Mesopotamian journal of Cybersecurity, 2025)E-mail has become an essential tool for digital communication, facilitating global networking and information exchange. However, spam emails, particularly those in multilingual contexts, pose a significant threat to ... -
System Log Parameter Attributes for Predicting Software Failures: Systematic Literature Review
(International Journal of Advanced Trends in Computer Science and Engineering, 2025)The early prediction of software failure is important in the field of software engineering since it leads to the development of better quality software, along with a reduction in maintenance cost and effort. However, even ... -
COUPLING METRICS FOR ASPECT ORIENTED SOFTWARE
(International Journal of Software Engineering & Applications (IJSEA),, 2025)The Aspect Oriented Software (AOS) paradigm emerged as a response to the limitations of Object-Oriented Programming, specifically its inability to modularize cross-cutting concerns effectively. However, AOS have inherent ... -
Enhancing Personalized Learning in Programming Education through Generative Artificial Intelligence Frameworks: A Systematic Literature Review
(International Journal of Advanced Trends in Computer Science and Engineering, 2025)Generative Artificial Intelligence (Gen AI) has revolutionized education by enabling personalized learning in computer programming, improving engagement and outcomes. Despite its potential, challenges like accuracy, ... -
Validating Complexity Metrics for Laravel Software
(International Journal of Software Engineering (IJSE),, 2025)The increasing complexity of Laravel software poses significant challenges to modifiability, necessitating the definition ofmetrics to assess and controlcomplexity. There exist metrics to measure Laravel complexity, ... -
Ensemble Feature Selection for Network Intrusion Detection: Combining Information Gain and Random Forest with Recursive Feature Elimination
(International Journal of Computer and Information Technology, 2024)Network intrusion detection systems (NIDS) are essential for protecting computer networks against cyberattacks. The selection of a nominal set of essential features that may adequately discriminate malicious traffic from ... -
Comparative Analysis of Deep Learning Models for Crop Diseases and Pest Classification
(International Journal of Formal Sciences: Current and Future Research Trends (IJFSCFRT), 2025)The deep learning models for crop diseases and pest classification research examined how deep learning might improve farming methods, particularly to accurately classify pests and diseases that affect crops. The importance ... -
Comparative Analysis of Machine Learning Algorithms Accuracy for Maize Leaf Disease Identification
(nternational Journal of Formal Sciences: Current and Future Research Trends (IJFSCFRT), 2023)The number of data points predicted correctly out of the total data points is known as accuracy in image classification models. Assessment of the accuracy is very important since it compares the correct images to the ones ... -
A Model for Face Recognition using EigenFace Algorithm
(International Journal of Formal Sciences: Current and Future Research Trends, 2023)The use of a computer to recognize a person by the means of their face is what is known as face recognition in artificial intelligence. The term biometrics is an umbrella term that includes face recognition as well as ... -
Architecture of Deep Learning Algorithms in Image Classification: Systematic Literature Review
(International Journal of Formal Sciences: Current and Future Research Trends (IJFSCFRT), 2023)The development of deep learning algorithms has led to major improvements in image classification, a key problem in computer vision. In this study, the researcher provide an in-depth analysis of the various deep learning ... -
An Empirical Analysis of Encoder Decoder (U Net) Variants for Medical Image Segmentation
(International Journal of Scientific Research in Computer Science and Engineering, 2025)U-Net convolutional neural networks have become a cornerstone in medical image processing, particularly for complex segmentation tasks. However, with the proliferation of various U-Net variants, it is imperative to evaluate ... -
Deep Learning Model for Crop Diseases and Pest Classification
(International Journal of Computer and Information Technology, 2024)The study on deep learning models for crop diseases and pest classification looked at how these models may enhance agricultural practices, specifically for the purpose of more precise pest and crop disease classification. ... -
Feature Extraction using Histogram of Oriented Gradients for Image Classification in Maize Leaf Diseases
(International Journal of Computer and Information Technology, 2022)The paper presents feature extraction methods and classification algorithms used to classify maize leaf disease images. From maize disease images, features are extracted and passed to the machine learning classification ... -
Quick Response Code Security Attacks and Countermeasures: A Systematic Literature Review
(Journal of Cyber Security, 2025)A quick response code is a barcode that allows users to instantly access information via a digital device. Quick response codes store data as pixels in a square-shaped grid. QR codes are prone to cyber-attacks. This ... -
A Reinforcement Learning-Based Multi-Agent System for Advanced Network Attack Prediction
(International Journal of Scientific Research in Computer Science and Engineering, 2024)This paper addresses the challenges of traditional Network Intrusion Detection Systems (NIDS) in handling the increasing complexity and volume of modern cyberattacks. The authors suggest a novel multi-agent deep reinforcement ... -
Trust Attributes in Multi-Path Congestion Avoidance Techniques to Curb Wormhole Attacks in Wireless Sensor Networks
(Journal of Computer Networks,, 2024)Wireless sensor networks (WSNs) have become widespread in recent years due to their uses in healthcare, infrastructure monitoring, environmental sensing, tactical surveillance, and defense. However, their inherent ... -
A Framework for Analyzing UML Behavioral Metrics based on Complexity Perspectives
(International Journal of Software Engineering (IJSE), 2024)As software systems become more complex, software modeling is crucial. Software engineers are adopting UML behavioral diagrams to model the dynamic features of a system. These dynamic diagrams keep changing for further ... -
Multi-task Deep Learning in Medical Image Processing: A Systematic Review
(International Journal of Computing Sciences Research, 2025-01)Purpose — Multi-task learning (MTL) is a deep learning approach that aims to jointly learn two or more tasks with the goal of leveraging shared knowledge among the tasks. This study aimed to review existing MTL models in ... -
A Comparative Study of Transformer-based Models for Hate-Speech Detection in English-Kiswahili Code-Switched Social Media Text
(International Journal of Advanced Trends in Computer Science and Engineering, 2024)The transformer architecture, first introduced in 2017 by researchers at Google, has revolutionized natural language processing in various tasks, including text classification. This architecture formed the basis of future ...
RSS 1.0