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Browsing Academic submissions (CoCIS) by Title
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College of Computing and Information Sciences (CoCIS)
Academic submissions (CoCIS)
Browsing Academic submissions (CoCIS) by Title
Mak IR Home
College of Computing and Information Sciences (CoCIS)
Academic submissions (CoCIS)
Browsing Academic submissions (CoCIS) by Title
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Browsing Academic submissions (CoCIS) by Title
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xmlui.ArtifactBrowser.ConfigurableBrowse.title.column_heading
Information seeking behaviour of rural women in Bungokho County, Mbale District of Uganda
[1]
An information technology based framework for integrating referral levels among public healthcare facilities in Uganda
[1]
A Link Fabrication Attack Mitigation Approach (LIFAMA) for software defined networks
[1]
A localized geometrical alignment technique for updating geo-spatial databases
[1]
Malware detection using static analysis with PCA, mRMR and machine learning
[1]
A mobile application for recommended fertiliser application rates of selected crops in Central Uganda
[1]
A mobile fetal health monitoring device
[1]
A model for adoption of information systems for antenatal healthcare practice in Wakiso District
[1]
Modeling connectivity for vehicular adhoc networks under high traffic density with interference
[1]
Modeling scheduling of customers in a bank queue using residual time based Preemptive Priority Queuing
[1]
Modelling the Minimum Latency Aggregation Scheduling (MLAS) problem under traffic heterogeneity in clustered Wwireless sensor Networks.
[1]
A novel model to strengthen researcher-farming community engagement
[1]
Politics in the indigenization of library and information services : The way forward for East Africa
[1]
Predicting infectitious disease density in urban settings using Convolutional Neural Networks
[1]
Programming language support for continuous user authentication
[1]
A real time revenue recognition tool
[1]
A study on application level monitoring of container-based microservices
[1]
Towards a persuasive technology for electricity theft reduction in Uganda
[1]
Tree farming expert system: a case of eucalyptus & pine species
[1]
Using machine learning to understand the association of design smells with role-stereotypes in software systems
[1]
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