An Institutional Repository (IR) is a digital service that collects, preserves, and distributes digital material. It serves as the home for the intellectual output of MUT academic communities, and will ultimately include digital dissertations, faculty publications, digital special collections, open access publications, open educational resources and much more.
Communities in Research Archive
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Recently Added
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Effect Of Cultivar And Altitude On Fatty Acid Composition Of Avocado From Murang’a County
(IOSR Journal of Applied Chemistry (IOSR-JAC), 2025)Fatty acids are essential for the structure and function of biological systems, and they are the primary source of energy. Avocado oil has high levels of omega-6 and omega-9 fatty acids, as well as natural antioxidants, ... -
Application And Synthesis Of Silica-Based Aerogels For The Removal Of Persistent Organic Pollutants From Water: A Review
(IOSR Journal of Applied Chemistry (IOSR-JAC), 2025)Background: Water contamination is a major global issue that necessitates the development of new and sustainable purification technologies. Aerogels, ultra-light porous materials with a large surface area and unique ... -
Removal of Nitrites from Wetland Waters Based on Diazonium Silica
(American Journal of Chemistry, 2025)Diazonuim silica was prepared and used to remove nitrites in wetland waters. Raw silica was chlorinated using phosphorous pentachloride (PCl5). Chlorinated silica was further reacted with ethylenediamine (EDA) under reflux ... -
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 ...
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