School of Computing and IT (JA): Recent submissions
Now showing items 21-40 of 106
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Developing Hybrid-Based Recommender System with Naïve Bayes Optimization to Increase Prediction Efficiency
(2021-03)Commerce and entertainment world today have shifted to the digital platforms where customer preferences are suggested by recommender systems. Recommendations have been made using a variety of methods such as content-based, ... -
Data Preparation for Machine Learning Modelling
(2022)The world today is on revolution 4.0 which is data-driven. The majority of organizations and systems are using data to solve problems through use of digitized systems. Data lets intelligent systems and their applications ... -
An e-Readiness Assessment of ICT Integration in Public Primary Schools in Kenya Case of Nyeri County.
(2017)In primary schools, information and communication technologies (ICT) are widely seen as tools for enhancing learning. This expectation increases their rapid diffusion and adoption throughout developing countries. Despite ... -
Network Intrusion Detection Systems: A Systematic Literature Review of Hybrid Deep Learning Approaches
(2022-06)Network Intrusion Detection Systems (NIDSs) have become standard security solutions that endeavours to discover unauthorized access to an organizational computer network by scrutinizing incoming and outgoing network traffic ... -
Cluster Head Selection Algorithms for Enhanced Energy Efficiency in Wireless Sensor Networks: A Systematic Literature Review
(2022-06)The extension of the sensor node's life span is an essential requirement in a Wireless Sensor Network. Cluster head selection algorithms undertake the task of cluster head election and rotation among nodes, and this has ... -
Internet of Things Based Model For Identifying Pediatric Emergency Cases
(2021-08)Pediatric emergency cases need rapid systems that measure vital body parameters data, analyze and categorize emergency cases for precise action. Current systems use manual examination resulting in delayed medication, death, ... -
Machine Learning Load Balancing Techniques in Cloud Computing: A Review
(2022-06)Load balancing (LB) is the process of distributing the workload fairly across the servers within the cloud environment or within distributed computing resources. Workload includes processor load, network traffic and storage ... -
Complexity Metrics for Statechart Diagrams
(2022-05)Model-Driven Development and the Model-Driven Architecture paradigm have in the recent past been emphasizing on the importance of good models. In the Object-Oriented paradigm one of the key artefacts are the Statechart ... -
A systematic literature review on security indicators for open-source enterprise resource planning software
(2022-05)Open-source enterprise resource planning (ERP) software has become a preferred alternative for modern organizations due to its affordable cost, availability and ease of access. Open-source software allows access to ... -
A Systematic Literature Review of Meta-Learning Models for Classification Tasks
(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 ... -
A Suvery of Biometric Authentication Technologies Towards Secure And Robust Systems: A Case Study of Mount Kenya University
(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 Survey of Deep Learning Solutions for Anomaly Detection in Surveillance Videos
(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 ... -
Comparative Analysis of Machine Learning Algorithms Accuracy for Maize Leaf Disease Identification
(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 ... -
A Framework for Verification in Contactless Secure Physical Access Control and Authentication Systems
(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 ... -
Trust-Based Security Technique to Curb Cooperative Blackhole Attacks in Mobile Ad Hoc Networks using OTB-DSR Protocol in NS-3
(Global Journals, 2020-12)The advent of mobile technology led to the emergence of Mobile Ad-hoc networks (MANETs). These networks have no infrastructure and central authority. Nodes in MANETs act as both routers and hosts. MANET nodes join and ... -
INFLUENCE OF SOCIAL MEDIA ON KNOWLEDGE SHARING PRACTICES IN KENYAN UNIVERSITIES: A CASE OF STRATHMORE UNIVERSITY
(The Strategic Journal of Business & Change Management Vol. 5, Iss. 4, pp 1816 - 1836,, 2018)The main objective of the research was to reveal the influence of social media tools on the sharing of knowledge in Kenyan universities. The research population was arrived at and evaluated using purposive sampling, ... -
Detection of Visual Similarity Snooping Attacks in Emails using an Extended Client Based Technique
(2021-04)This paper provides an Extended Client Based Technique (ECBT) that performs classification on emails using the Bayessian classifier that attain in-depth defense by performing textual analysis on email messages and attachment ... -
Research Methods in Machine Learning: A Content Analysis
(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 ... -
An Effort Estimation Method for Service-Oriented Architecture
(2020-10-16)Determining size and effort of SOA systems is critical for managing SOA projects. As a consequence, a number of methods have been proposed to estimate effort of building SOA projects but the problem of estimating SOA ... -
Using Feature Selection Methods to Discover Common Users’ Preferences for Online Recommender Systems
(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 ...
