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<title>School of Engineering and Technology</title>
<link>http://ir.mksu.ac.ke/handle/123456780/204</link>
<description>Scholarly Articles by Faculty &amp; Students in School of Engineering and Technology</description>
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<rdf:li rdf:resource="http://ir.mksu.ac.ke/handle/123456780/19892"/>
<rdf:li rdf:resource="http://ir.mksu.ac.ke/handle/123456780/15807"/>
<rdf:li rdf:resource="http://ir.mksu.ac.ke/handle/123456780/15804"/>
<rdf:li rdf:resource="http://ir.mksu.ac.ke/handle/123456780/15803"/>
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<dc:date>2026-04-03T21:00:03Z</dc:date>
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<item rdf:about="http://ir.mksu.ac.ke/handle/123456780/19892">
<title>Sentiment analysis on social media tweets using dimensionality reduction and natural language processing</title>
<link>http://ir.mksu.ac.ke/handle/123456780/19892</link>
<description>Sentiment analysis on social media tweets using dimensionality reduction and natural language processing
Omuya, Erick Odhiambo; Okeyo, George; Kimwele, Michael
Social media has been embraced by different people as a convenient and official&#13;
medium of communication. People write or share messages and attach images&#13;
and videos on Twitter, Facebook and other social media platforms. It therefore generates a lot of data that is rich in sentiments. Sentiment analysis has&#13;
been used to determine the opinions of clients, for instance, relating to a particular product or company. Lexicon and machine learning approaches are the&#13;
strategies that have been used to analyze these sentiments. The performance of&#13;
sentiment analysis is, however, distorted by noise, the curse of dimensionality,&#13;
the data domains and the size of data used for training and testing. This article aims at developing a model for sentiment analysis of social media data in&#13;
which dimensionality reduction and natural language processing with part of&#13;
speech tagging are incorporated. The model is tested using Naïve Bayes, support&#13;
vector machine, and K-nearest neighbor algorithms, and its performance compared with that of two other sentiment analysis models. Experimental results&#13;
show that the model improves sentiment analysis performance using machine&#13;
learning techniques.
</description>
<dc:date>2022-09-01T00:00:00Z</dc:date>
</item>
<item rdf:about="http://ir.mksu.ac.ke/handle/123456780/15807">
<title>An Appraisal on the Potential uses of Bentonite and its Availability and Exploitation in Kenya</title>
<link>http://ir.mksu.ac.ke/handle/123456780/15807</link>
<description>An Appraisal on the Potential uses of Bentonite and its Availability and Exploitation in Kenya
Mutisya, Peter K.; Maranga, SM; Ikua, Bernard W
— Bentonite is a smectite clay formed from the alteration of siliceous,&#13;
glass-rich volcanic rocks such as tuffs and ash deposits. The major mineral in&#13;
bentonite is montmorillonite, which is a hydrated sodium, calcium, magnesium&#13;
or aluminum silicate, or a combination of these. The industrial bentonites are&#13;
generally either the sodium or calcium variety.&#13;
Bentonites are important and essential in a wide range of applications&#13;
including well drilling, foundry sand binding, iron ore pelletizing, pet waste&#13;
absorbents, and civil engineering uses such as waterproofing and sealing.&#13;
In many developing countries, local bentonite producers provide the&#13;
livelihood for many marginalized workers.&#13;
This paper presents the many economic uses to which bentonite can be put. In&#13;
addition, the paper gives highlight on the numerous opportunities for&#13;
investment in which bentonite is key.&#13;
Special focus is given on the use of bentonite in deep drilling and foundry&#13;
which together use the largest quantity of bentonite in the world.
</description>
<dc:date>2022-06-01T00:00:00Z</dc:date>
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<item rdf:about="http://ir.mksu.ac.ke/handle/123456780/15804">
<title>Developing a Secure Messaging Platform in Mobile SMS Using Advanced Encryption Standard Concept</title>
<link>http://ir.mksu.ac.ke/handle/123456780/15804</link>
<description>Developing a Secure Messaging Platform in Mobile SMS Using Advanced Encryption Standard Concept
Mutua, Veronicah; Mwaura, Andrew
Billions of text messages are sent daily through GSM networks sent in plain text format which makes them susceptible to various attacks. With the increasing number of software crackers available for free in the internet, studies have shown SMS continues to suffer from several security vulnerabilities and loopholes. The aim of this project was to develop a secure messaging platform for Java enabled phones to securely send encrypted short messages via the GSM network.. The application was developed in MDIP 2.0 and CDLC 1.1configurations and applied symmetric encryption concepts. The experimental results revealed that the mobile application was able to encrypt, decrypt, send and receive text messages without adding changing the size of the packets.
</description>
<dc:date>2014-04-01T00:00:00Z</dc:date>
</item>
<item rdf:about="http://ir.mksu.ac.ke/handle/123456780/15803">
<title>Partial Isothermal Sections of the Cu-Rich Corner of the Al-Cu-Zn System at 200 and 240 °C</title>
<link>http://ir.mksu.ac.ke/handle/123456780/15803</link>
<description>Partial Isothermal Sections of the Cu-Rich Corner of the Al-Cu-Zn System at 200 and 240 °C
Ngugi, Johnson; Rading, George Odera; Ngobe, Bongani; Forbes, Roy
Partial isothermal sections of the Cu-rich corner&#13;
of ternary Al-Cu-Zn system at 200 and 240 C were plotted&#13;
up to 55 at.% Cu and 85 at.% Zn based on scanning&#13;
electron microscopy, energy-dispersive x-ray spectroscopy&#13;
and x-ray diffractometry analyses of ten ternary alloys.&#13;
Seven phases were observed at both isothermal temperatures, &#13;
and no new ternary phases were found. The results&#13;
were compared with previously published works, and the&#13;
c-phase was confirmed to exist as two phases: c Cu9Al4&#13;
and c Cu5Zn8.
</description>
<dc:date>2019-06-01T00:00:00Z</dc:date>
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