School of Computing and IT (JA): Recent submissions
Now showing items 1-20 of 126
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SYSTEMATIC REVIEW OF MODELS USED TO HANDLE CLASS IMBALANCE IN ANOMALY DETECTION FOR ENERGY CONSUMPTION
(International Journal of Artificial Intelligence and Applications (IJAIA), 2024)The widespread integration of Smart technologies into energy consumption systems has brought about a transformative shift in monitoring and managing electricity usage. The imbalanced nature of anomaly data often results ... -
Scaling Robotics Education: A Systematic Review of Technologies, Frameworks, and Equity Dimensions
(International Journal of Computer Applications Technology and Research, 2025)Robotics education is increasingly essential for preparing learners with skills in STEM, programming, and artificial intelligence. Yet, scaling such education equitably remains a global challenge. This study systematically ... -
Integrating Artificial Intelligence in Open, Distance, and e-Learning (ODeL): A Systematic Literature Review
(International Journal of Computer Applications Technology and Research, 2025)Artificial Intelligence (AI) is increasingly transforming Open, Distance, and e-Learning (ODeL) by enhancing personalization, automating assessments, and enabling immersive learning environments. This study employs a ... -
Integrating Mobile STEM Labs and Digital Technologies to Enhance STEM Education in Marginalized Regions of Kenya: A Systematic Literature Review
(International Journal of Computer Applications Technology and Research, 2025)This systematic literature review explores the integration of mobile STEM labs and digital technologies including artificial intelligence (AI), robotics and e-learning platforms as tools for enhancing STEM education in ... -
A HETEROGENEOUS DEEP ENSEMBLE APPROACH FOR ANOMALY DETECTION IN CLASS IMBALANCED ENERGY CONSUMPTION DATA
(International Journal of Artificial Intelligence and Applications (IJAIA), 2025)The integrity and efficiency of modern energy grids are increasingly reliant on accurate anomaly detection within energy consumption data. However, class imbalance poses significant challenges, where normal consumption ... -
A COMPARATIVE ANALYSIS OF CLASS IMBALANCE HANDLING TECHNIQUES FOR DEEP MODELS IN THE DETECTION OF ANOMALIES IN ENERGY CONSUMPTION
(International Journal of Artificial Intelligence and Applications (IJAIA), 2024)Detecting anomalies in energy consumption is critical for efficient energy management, fault detection, and sustainability. However, the challenge of class imbalance, where normal consumption data vastly outweighs anomalous ... -
Explainable Artificial Intelligence: A Comprehensive Review of Techniques, Applications, and Emerging Trends
(International Journal of Scientific Research in Computer Science and Engineering, 2025)The growing reliance on opaque deep learning models in critical domains has intensified the demand for transparency, accountability, and interpretability of artificial intelligence systems. Explainable Artificial Intelligence ... -
Building Trust in AI: How Ethics, Standards, and Blockchain are Redefining Global Governance
(International Journal of Computer and Information Technology, 2026)The rapid advancement of Artificial Intelligence (AI) has amplified concerns around trust, transparency, and accountability in automated decision-making systems. This paper explores the foundational concept of AI with ... -
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 ...