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- 2020
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Prediction of Caregiver’s Next Action in Digital Healthcare
(2020) In Master's Theses in Mathematical Sciences FMAM05 20201
Mathematics (Faculty of Engineering) Mark -
Generic Object Tracking with NVIDIA Jetson Nano Using Siamese Convolutional Neural Networks
(2020) In Master's Theses in Mathematical Sciences FMAM05 20201
Mathematics (Faculty of Engineering) Mark -
Global localization of nano drone in an indoor environment
(2020) In Master’s Theses in Mathematical Sciences FMAM05 20201
Mathematics (Faculty of Engineering) Mark - 2019
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Feasibility Study for Autovalidation of Blood Cells in a Digital Morphology System
(2019) In Master's Theses in Mathematical Sciences FMAM05 20191
Mathematics (Faculty of Engineering) Mark -
Segmentation of White Blood Cells Using Deep Learning
(2019) In Master's Theses in Mathematical Sciences FMAM05 20192
Mathematics (Faculty of Engineering) Mark -
Exploring Object Detection and Recognition Methods for Automated Book Inventory
(2019) In Master's Theses in Mathematical Sciences FMAM05 20192
Mathematics (Faculty of Engineering) Mark - 2018
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Real-Time Monocular SLAM System Using an Inertial Measurement Unit to Estimate the Metric Scale and Gravity Direction
(2018) In Master’s Theses in Mathematical Sciences FMAM05 20172
Mathematics (Faculty of Engineering) Mark -
Transferability of features from multiple depths of a deep convolutional neural network
(2018) In Master's Theses in Mathematical Sciences FMAM05 20181
Mathematics (Faculty of Engineering) Mark -
Recognizing Spontaneous Facial Expressions using Deep Convolutional Neural Networks
(2018) In Master's Theses in Mathematical Sciences FMAM05 20181
Mathematics (Faculty of Engineering) Mark -
Investigating Machine Learning Clustering Methods to Replicate the Human Idea of Structure to Documents
(2018) In Master's Theses in Mathematical Sciences FMAM05 20181
Mathematics (Faculty of Engineering) Mark