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Master 2019 Verified Available

Machine Learning Models for Network Intrusion Detection and Authentication of Smart Phone Users

Author
Samad Ahmadi
University
Morehead State University
Country
United States
Main specialisation
Machine Learning › AI in Cybersecurity

A thesis presented to the faculty of the Elmer R. Smith College of Business and Technology at Morehead State University in partial fulfillment of the requirements for the Degree of Master of Science by S. Sareh Ahmadi on November 18, 2019.

Master 2019 Verified

How machine learning drive the development of autonomous cars - A study of emerging technologies and the evolving value chain Master’s Thesis in the Master’s Programme

Author
Filip Lundqvist ; Robin de Richelieu
University
Chalmers University of Technology
Country
Sweden
Main specialisation
Deep Learning & Neural Networks › AI in Industry

Autonomous cars have gained much attention in the past few years. Partially automated features are sold to consumers, and advance autonomous test vehicles are driving on public roads. These features and vehicles have caused a debate about their safety as they…

Master 2018 Verified

Classification of ulcer images using convolutional neural networks

Author
Charlotta Aguirre Nilsson ; Medina Velic
University
Chalmers University of Technology
Country
Sweden
Main specialisation
AI in Healthcare › Medical Image Analysis

The use of artificial intelligence has increased within a variety of different fields the last decade, including the area of health care.Machine learning algorithms have already been successfully used in e.g.skin cancer detection in images, indicating its pote…

Master 2018 Verified

Machine learning framework for petrochemical process industry applications

Author
Toni Oleander
University
Aalto University
Country
Finland
Main specialisation
Machine Learning › AI in Industry

Machine learning has many potentially useful applications in process industry, for example in process monitoring and control. Continuously accumulating process data and the recent development in software and hardware that enable more advanced machine learning,…

Master 2018 Verified

Deep learning based segmentation for multi-modal medical MRI Images

Author
Mustafa Arikan
University
University of Vienna
Country
Austria
Main specialisation
AI in Healthcare › Medical Image Analysis

In dieser Masterarbeit stellen wir einen automatischen Algorithmus für Segmentierung von multi-modalen Datensätzen mittels Deep Learning vor. Unser Algorithmus basiert auf der SegNet Architektur. Wir haben SegNet erwietert, sodass dieses nicht nur die drei Kan…

Master 2017 Verified

Predicting Fashion using Machine Learning techniques

Author
Mona Dadoun
University
KTH Royal Institute of Technology
Country
Sweden
Main specialisation
Machine Learning › Predictive Analytics & Time Series

On a high-level perspective, fashion is an art defined by fash- ion stylists and designers to express their thoughts and opinions. Lately, fashion have also been defined by digital publishers such as bloggers and online magazines. These digital publishers crea…

Master 2017 Verified

Bayesian Optimization in Machine Learning

Author
José Jiménez-Luna
University
Not available
Country
Not available
Main specialisation
Machine Learning › AI in Education

Bayesian optimization has risen over the last few years as a very attractive approach to find the optimum of noisy, expensive to evaluate, and possibly black-box functions. One of the fields where these functions are common is in machine-learning, where one ty…

Master 2017 Verified

Machine Learning Methods for Credit Risk Modelling

Author
Matěj Drábek
University
Not available
Country
Czech Republic
Main specialisation
Machine Learning › Predictive Analytics & Time Series

This master's thesis is divided into three parts. In the first part I described P2P lending, its characteristics, basic concepts and practical implications. I also compared P2P market in the Czech Republic, UK and USA. The second part consists of theoretical b…

Master 2017 Verified

Tracking of Humans in Video Stream Using LSTM Recurrent Neural Network

Author
Masoumeh P. Ghaemmaghami
University
Not available
Country
Not available
Main specialisation
Computer Vision › Video Analysis

In this master thesis, the problem of tracking humans in video streams by using Deep Learning is examined. We use spatially supervised recurrent convolutional neural networks for visual human tracking. In this method, the recurrent convolutional network uses b…