Waweru Mwangi
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View article: Few-shot pneumonia detection using Siamese networks and transfer learning on chest X-ray images
Few-shot pneumonia detection using Siamese networks and transfer learning on chest X-ray images Open
Pneumonia remains a leading cause of mortality among children under five years of age, accounting for approximately 1.6 million deaths annually. Early detection is critical for reducing child mortality; however, traditional diagnostic meth…
View article: Optimization of matching networks with transfer learning in few-shot pneumonia detection
Optimization of matching networks with transfer learning in few-shot pneumonia detection Open
Pneumonia remains a leading cause of death among children under five years of age, with approximately 1.6 million fatalities annually, especially in low-resource settings where diagnostic capacity is limited. Early detection plays a critic…
View article: An Ensemble Learning Approach using Self-Supervised and Meta-Learning for Few-Shot Pneumonia Detection in Chest X-Ray Images
An Ensemble Learning Approach using Self-Supervised and Meta-Learning for Few-Shot Pneumonia Detection in Chest X-Ray Images Open
Pneumonia remains one of the leading causes of mortality worldwide, particularly among children and the elderly. Early detection is critical for improving patient outcomes; however, traditional diagnostic methods require expert radiologist…
View article: Optimizing multivariate adaptive regression splines (MARS) with coordinate descent to accurately select the best model for house price prediction
Optimizing multivariate adaptive regression splines (MARS) with coordinate descent to accurately select the best model for house price prediction Open
Multivariate Adaptive Regression Splines (MARS) have proved to be a powerful tool for modeling non-parametric regression analysis problems and for selecting the model in multi-dimensional data. A major challenge lies in model over-fitting …
View article: Few-Shot Pneumonia Detection Using Siamese Networks and Transfer Learning on Chest X-Ray Images
Few-Shot Pneumonia Detection Using Siamese Networks and Transfer Learning on Chest X-Ray Images Open
Pneumonia remains a leading cause of mortality among children under five years of age, accounting for approximately 1.6 million deaths annually. Early detection is critical for reducing child mortality; however, traditional diagnostic meth…
View article: Using Personalized Computer Adaptive Testing to Evaluate Competency-Based Mathematics in Secondary Schools
Using Personalized Computer Adaptive Testing to Evaluate Competency-Based Mathematics in Secondary Schools Open
Although computerized adaptive testing (CAT) provides a promising route to personalized assessments, it has been falling short in providing the detailed personal feedback that is necessary for a competency-based curriculum beyond the typic…
View article: Optimization of Matching Networks with Transfer Learning in Few-Shot Pneumonia Detection
Optimization of Matching Networks with Transfer Learning in Few-Shot Pneumonia Detection Open
Pneumonia remains the leading cause of death among children under five years of age, with approximately 1.6 million deaths annually. Early detection is the key to reducing child mortality. However, most of the traditional diagnostic method…
View article: Gated recurrent unit predictor model-based adaptive differential pulse code modulation speech decoder
Gated recurrent unit predictor model-based adaptive differential pulse code modulation speech decoder Open
Speech coding is a method to reduce the amount of data needs to represent speech signals by exploiting the statistical properties of the speech signal. Recently, in the speech coding process, a neural network prediction model has gained at…
View article: Interactive Multimedia Association-Adaptive Differential Pulse Code Modulation Codec With Gated Recurrent Unit Predictor
Interactive Multimedia Association-Adaptive Differential Pulse Code Modulation Codec With Gated Recurrent Unit Predictor Open
Speech coding is important for effective storage and transmission of audio signals. However, current Interactive Multimedia Association Adaptive Differential Pulse Code Modulation (IMA-ADPCM) speech coding techniques that use a fixed predi…
View article: Enhancing Ensemble Model Accuracy and Interpretability: A Framework Integrating Rough Set Theory and Recursive Feature Elimination for Feature Selection and Interpretability with Association Rule Analysis in Ensemble Models
Enhancing Ensemble Model Accuracy and Interpretability: A Framework Integrating Rough Set Theory and Recursive Feature Elimination for Feature Selection and Interpretability with Association Rule Analysis in Ensemble Models Open
View article: Aduml: A Novel Anomaly Detection Approach for Unsupervised Machine Learning
Aduml: A Novel Anomaly Detection Approach for Unsupervised Machine Learning Open
View article: Predicting Learners’ Academic Progression Using Subspace Clique Model in Multidimensional Data
Predicting Learners’ Academic Progression Using Subspace Clique Model in Multidimensional Data Open
View article: Hybrid Phishing Detecting with Recommendation Decision Trees
Hybrid Phishing Detecting with Recommendation Decision Trees Open
View article: Multimedia Integration of Mathematical Internet Memes into Mathematics Classrooms in Secondary School Curriculum
Multimedia Integration of Mathematical Internet Memes into Mathematics Classrooms in Secondary School Curriculum Open
Mathematics is a core subject in almost all secondary education curricula. In improving performance in mathematics, there is a need to consider developing new teaching and learning pedagogies that tap the students' interests and enhance th…
View article: A Cnn Model for Improved Image Denoising With an Attention Guided Feature Selection
A Cnn Model for Improved Image Denoising With an Attention Guided Feature Selection Open
Deep Convolutional Neural Networks, or DCNNs, have undergone numerous modifications to enhance their capabilities in image processing, including image restoration, but there is still room for improvement. They have been improved in a numbe…
View article: An object-oriented programming solution for managing inventory of used cars in Kenya using inheritance relationships
An object-oriented programming solution for managing inventory of used cars in Kenya using inheritance relationships Open
The industry of buying and selling used cars in Kenya has continued to grow by leaps and bounds. There are many dealers who have opened shops in Nairobi, Mombasa, and many other towns locally. Therefore, having a software solution that can…
View article: Sentiment Analysis of Text Reviews Using Lexicon-Enhanced Bert Embedding (LeBERT) Model with Convolutional Neural Network
Sentiment Analysis of Text Reviews Using Lexicon-Enhanced Bert Embedding (LeBERT) Model with Convolutional Neural Network Open
Sentiment analysis has become an important area of research in natural language processing. This technique has a wide range of applications, such as comprehending user preferences in ecommerce feedback portals, politics, and in governance.…
View article: Improved Multilayer Perceptron Neural Networks Weights and Biases Based on The Grasshopper optimization Algorithm to Predict Student Performance on Ambient Learning
Improved Multilayer Perceptron Neural Networks Weights and Biases Based on The Grasshopper optimization Algorithm to Predict Student Performance on Ambient Learning Open
The classification accuracy of a multi-layer Perceptron Neural Networks depends on the selection of its parameters such the connection weights and biases. Generating an optimal value of these parameters requires a suitable algorithm to tra…
View article: Hybrid Interpretable Model Using Roughset Theory and Association Rule Mining to Detect Interaction Terms in a Generalized Linear Model (Ragl)
Hybrid Interpretable Model Using Roughset Theory and Association Rule Mining to Detect Interaction Terms in a Generalized Linear Model (Ragl) Open
View article: Adaptive Speech Coding System Using Gated Recurrent Unit Predictor Model and Differential Pulse Code Modulation
Adaptive Speech Coding System Using Gated Recurrent Unit Predictor Model and Differential Pulse Code Modulation Open
View article: A Hybrid Model for Detecting Phishing Attack Using Recommedation Decision Trees
A Hybrid Model for Detecting Phishing Attack Using Recommedation Decision Trees Open
Phishing performs by trying to trick the victim into accessing any computing information which looks original, then instructing them to send important data to unrestricted/unwanted privacy resource. For prevention, it is essential to devel…
View article: A Metrics-Based Maintainability Estimation Framework for Object Oriented Software in Design Phase
A Metrics-Based Maintainability Estimation Framework for Object Oriented Software in Design Phase Open
Measurement of maintainability early in the software development life cycle, especially during the design phase, may aid designers in incorporating necessary improvements and adjustments to enhance the maintainability of the completed prod…
View article: Deep Gaussian Convolutional Neural Network Model in Classification of Cassava Diseases using Spectral Data
Deep Gaussian Convolutional Neural Network Model in Classification of Cassava Diseases using Spectral Data Open
Early disease identification in crops is critical for food security, especially in Sub-Saharan Africa. To identify cassava diseases, professionals visually score the plants by looking for disease indicators on the leaves which is notorious…
View article: A Comparative Study of Some Pre-Trained Models on Transfer Learning Approach in Detection and Classification of Cassava Leaf Diseases
A Comparative Study of Some Pre-Trained Models on Transfer Learning Approach in Detection and Classification of Cassava Leaf Diseases Open
View article: Lexicon‐pointed hybrid N‐gram Features Extraction Model ( <scp>LeNFEM</scp> ) for sentence level sentiment analysis
Lexicon‐pointed hybrid N‐gram Features Extraction Model ( <span>LeNFEM</span> ) for sentence level sentiment analysis Open
Sentiment analysis of social media textual posts can provide information and knowledge that is applicable in social settings, business intelligence, evaluation of citizens' opinions in governance, and in mood triggered devices in the Inter…
View article: Parameter Settings Optimization in Map Reduce Big Data processing using the MOPSO Algorithm
Parameter Settings Optimization in Map Reduce Big Data processing using the MOPSO Algorithm Open
View article: Decision Support System for Fitting and Mapping Nonlinear Functions with Application to Insect Pest Management in the Biological Control Context
Decision Support System for Fitting and Mapping Nonlinear Functions with Application to Insect Pest Management in the Biological Control Context Open
The process of moving from experimental data to modeling and characterizing the dynamics and interactions in natural processes is a challenging task. This paper proposes an interactive platform for fitting data derived from experiments to …
View article: Community Cloud Model for Infrastructure As-A-Service in Learning through Content Sharing
Community Cloud Model for Infrastructure As-A-Service in Learning through Content Sharing Open
International Journal of Computer Sciences and Engineering (A UGC Approved and indexed with DOI, ICI and Approved, DPI Digital Library) is one of the leading and growing open access, peer-reviewed, monthly, and scientific research journal …
View article: Using Ensemble Technique to Improve Multiclass Classification
Using Ensemble Technique to Improve Multiclass Classification Open
Many real world applications inevitably contain datasets that have multiclass structure characterized by imbalance classes, redundant and irrelevant features that degrade performance of classifiers. Minority classes in the datasets are tre…
View article: Optimizing Computer Worm Detection Using Ensembles
Optimizing Computer Worm Detection Using Ensembles Open
The scope of this research is computer worm detection. Computer worm has been defined as a process that can cause a possibly evolved copy of it to execute on a remote computer. It does not require human intervention to propagate neither do…