M.Phil / MS
Permanent URI for this collectionhttps://repository.cuilahore.edu.pk/handle/123456789/52
This collection archives the complete set of theses produced by students of the COMSATS University Islamabad, Lahore Campus.
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Item Algorithm Development for the Bayesian Optimization of Complex Data Sets(Library Information Services, COMSATS University Islamabad, Lahore Campus, 2020) Muhammad Javed Zahoor; FA18-RMT-057; LHR TP 6461; Dr. Ayesha SohailOptimization is a subfield of applied mathematics and is used in the fields of nano-medicine, applied sciences and computational biology extensively. The recent trends of optimizations are focused on the algorithm development of nonlinear programs for complex data sets. During this research, an algorithm is developed for the application of “Bayesian Optimization”, for the selection of the most accurate hyper-parameter, using the Python framework as well as the MatlabTM 2020 packages. The developed model is then implemented on the experimental data sets, extracted from the online repositories. To ensure the optimalilty of the forecasting, the algorithms are exploited in detailed manner during this research.Item Explainable Machine Learning for Medical Imaging(Library Information Services, COMSATS University Islamabad, Lahore Campus, 2020) Muhammad Shahid; FA18-RMT-043; LHR TP 6023; Dr. Ayesha SohailIn the recent literature, artificial intelligence tools have been used very suc cessfully to investigate the history of medical images, where incomplete data is available. In this thesis, data obtained from a clinical study is analyzed using medical imaging algorithms. We have used a Bayesian machine learning clas sifier i.e. Naïve Bayes to obtain the results. We have considered the medical images from 20 patients having gastric cancer. Futhermore, we have compared the accuracy of Naïve Bayes classifier to the other medical imaging techniques such as CNN.