Journal Articles (CI)
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Natural Language Processing with Transformer-BasedModels: AMeta-Analysis
(Journal on Artificial Intelligence, 2025)The natural language processing (NLP) domain has witnessed significant advancements with the emergence of transformer-based models, which have reshaped the text understanding and generation landscape.While their capabilities ... -
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 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 ... -
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 ... -
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 ... -
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 ... -
A Unified U-Net-VisionMambaModel with Hierarchical Bottleneck Attention for Detection of Tomato Leaf Diseases
(Journal of Artificial Intelligence, 2025)Tomato leaf diseases significantly reduce crop yield; therefore, early and accurate disease detection is required. Traditional detection methods are laborious and error-prone, particularly in large-scale farms, whereas existing ... -
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 ... -
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 ...
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