Browsing by Author "Wambugu, Geoffrey M"
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Automatic Debugging Approaches: A literature Review.
Wambugu, Geoffrey M; Kevin Mwiti (2017)Fixing failed computer programs involves completing two fundamental debugging tasks: first, the programmer has to reproduce the failure; second, s/he has to find the failure cause. Software debugging is the process of ... -
Comparative Analysis of Machine Learning Algorithms Accuracy for Maize Leaf Disease Identification
Ochago, Vincent M.; Wambugu, Geoffrey M; Ndia, John G. (2022-03)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 ... -
Computer Laptop Project Strategy for Basic Education Schools in Kenya
Wambugu, Geoffrey M; Ogenga, Stephen; Shikali, Casper; Muliaro, Joseph (IJICT Journals, 2017-05)Kenya’s Vision 2030 recognizes the enabling role of Information and Communication Technology (ICT) and anchors some of its key aspirations upon the availability and adoption of computers for schools. The overall objective ... -
Empirical Evaluation of Adaptive Optimization on the Generalization Performance of Convolutional Neural Networks
Wanjau, Stephen K.; Wambugu, Geoffrey M; Oirere, Aaron M. (2021-10)Recently, deep learning based techniques have garnered significant interest and popularity in a variety of fields of research due to their effectiveness in search for an optimal solution given a finite amount of data. ... -
A Framework for Verification in Contactless Secure Physical Access Control and Authentication Systems
Wambui, B. M.; Gikandi, J. W.; Wambugu, Geoffrey M (2022-02)Biometrics is one of the very popular techniques in user identification for accessing institutions and logging into attendance systems. Currently, some of the existing biometric techniques such as the use of fingerprints ... -
Impact of Managerial Interventions on Process in implementing Information Systems for Higher Education Institutions in a developing country
Wambugu, Geoffrey M (African Journal of Computing and Information Systems, 2017)Organizational Implementation of Information Systems Innovations (OIISI) Framework was developed in the context of University in Kenya and can be used to understand the implementation of Information Systems (IS) Innovations ... -
A Literature Survey of Visual Similarity Snooping Attacks in Emails
Muhindi, George M.; Wambugu, Geoffrey M; Oirere, Aaron M. (2020-08)Snooping is one of the biggest issues that the cyber security industry is facing in this modern era of technology and it leads to big losses of finances both for individuals and organizations. The detection of snooping ... -
Organizational Implementation of Information Systems Innovations (OIISI) Framework was developed in the context of Universities in Kenya
Wambugu, Geoffrey M (2016)Organizational Implementation of Information Systems Innovations (OIISI) Framework was developed in the context of Universities in Kenya and can be used to understand the implementation of Information Systems (IS) Innovations ... -
Quadratic Approach for Fast Topic Selection in Modelling Big Text Analytics
Wambugu, Geoffrey M; Onyango, George; Kimani, Stephen (International Journal of Advancements in Computing Technology, 2018)One challenging issue in application of Latent Dirichlet Allocation (LDA) is to select the optimal number of topics which must depend on both the corpus itself and user modeling goals. This paper presents a topic selection ... -
Research Methods in Machine Learning: A Content Analysis
Wambugu, Jackson K.; Wambugu, Geoffrey M (2021-03)Research methods in machine learning play a pivotal role since the accuracy and reliability of the results are influenced by the research methods used. The main aims of this paper were to explore current research methods ... -
SSH-Brute Force Attack Detection Model based on Deep Learning
Wanjau, Stephen K.; Wambugu, Geoffrey M; Kamau, Gabriel N. (2021-01)The rising number of malicious threats on computer networks and Internet services owing to a large number of attacks makes the network security be at incessant risk. One of the predominant network attacks that poses ... -
A Survey of Deep Learning Solutions for Anomaly Detection in Surveillance Videos
Munyua, John G.; Wambugu, Geoffrey M; Njenga, Stephen T. (Asian Online Journals, 2021-10)Deep learning has proven to be a landmark computing approach to the computer vision domain. Hence, it has been widely applied to solve complex cognitive tasks like the detection of anomalies in surveillance videos. Anomaly ... -
A Survey of Topic Model Inference Techniques
Wambugu, Geoffrey M; Okeyo, George.; Kimani, Stephen. (International Journal of Computer and Information Technology, 2018)— Latent Dirichlet Allocation (LDA) is a probabilistic topic model that aims at organizing, visualizing, summarizing, searching, predicting and understanding the content of any given text data. The model enables users ... -
A Suvery of Biometric Authentication Technologies Towards Secure And Robust Systems: A Case Study of Mount Kenya University
Wambui, B. M.; Gikandi, J. W.; Wambugu, Geoffrey M (2022-03)In response to the increased demand for more effective authentication methods, the usage of biometric authentication to secure systems against unwanted access has grown. Because of the recent COVID-19 pandemic outbreak, ... -
A Systematic Literature Review of Meta-Learning Models for Classification Tasks
Kamiri, Jackson; Wambugu, Geoffrey M; Oirere, Aaron (International Journal of Computer Applications Technology and Research Volume 11–Issue 03, 56-65, 2022): Meta-learning is a field of learning that aims at addressing the challenges of conventional machine learning approaches such as learning from scratch for every new task. The main aim of this study was to do a systematic ... -
Using Feature Selection Methods to Discover Common Users’ Preferences for Online Recommender Systems
Ndung'u, Rachel N.; Kamau, Gabriel N.; Wambugu, Geoffrey M (2021-01)Recommender systems have taken over user’s choice to choose the items/services they want from online markets, where lots of merchandise is traded. Collaborative filtering-based recommender systems uses user opinions and ...