School of Computing and IT (MT)

A Support Vector Machine and Artificial Neural Network Model for Enhanced Image Classification of Maize Leaf Diseases

Ochango, Vincent Mbandu (2022-10)

Image classification accuracy is the total number of images predicted correctly out of the total images in the test dataset in the field of computer vision. Classifying the images accurately is still a challenge due to ...

Enhanced Deep Learning Model to Detect Anomalies in Surveillance Videos

Munyua, John G. (2022-08)

Increased security challenges and advancements in technology have led to heavy usage of surveillance cameras. This has resulted in an overwhelming abundance of video data which requires automated analytics for better ...

A Transfer Learning and Two-Level Hyperparameter Optimization Based Model for Improved Classification of Diabetic Retinopathy

Wambugu, Jackson K. (2022-10)

Automated diagnosis of disease from medical images using machine learning has been in rise in the recent past. One such case is the classification of diabetic retinopathy from fundus images. Diabetic Retinopathy is an eye ...

Factors Influencing Digital Divide In the Rural-And Semi-Urban Regions of Kenya: Case Study of Juja Town and the Surrounding Areas

Ndung’u, George M. (2010)

Assessment Framework for Cyber Security

Muketha, Geoffrey M. (LAP Lambert Academic Publishers, 2016)

The capabilities and opportunities the Internet provides have caused transformation in many business activities, increasing the speed and ease for conducting transactions while also lowering many of the costs. As a ...