Blar i Master's theses in Information and Communication Technology på tittel
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Deep Learning for Crowd Anomaly Detection
(Master thesis, 2022)Today, public areas across the globe are monitored by an increasing amount of surveillance cameras. This widespread usage has presented an ever-growing volume of data that cannot realistically be examined in real-time. ... -
A Deep Learning-based approach for Fault Detection of Power Lines
(Master thesis, 2020)A transmission network is the most crucial part of modern infrastructure. However, it requires an extensive amount of power line inspection each year to maintain, and with an increased interest in replacing large ... -
Deep Reinforcement Learning using Capsules in Advanced Game Environments
(Master thesis, 2018)Reinforcement Learning (RL) is a research area that has blossomed tremendously in recent years and has shown remarkable potential for artificial intelligence based opponents in computer games. This success is primarily due ... -
Deep Reinforcement Learning using Capsules in Advanced Game Environments
(Master thesis, 2017)Reinforcement Learning (RL) is a research area that has blossomed tremendously in recent years and has shown remarkable potential for arti cial intelligence based opponents in computer games. This success is primarily due ... -
Defect reduction by improving inspection of UML diagrams in the GPRS project : a study of available techniques and "state-of-the-practice" in the GPRS project for inspection of UML diagrams ; experimenting a suggested method to reduce defect cost by early detection of defects
(Master thesis, 2002)Since UML was introduced to the software development industry, companies have adopted this notation language into their Object-Oriented development process. Our object in this thesis has been to evaluate the current R&I ... -
Demonstration of Semantic Web-based Medical Ontologies and Clinical Decision Support Systems
(Master thesis, 2016)Konfidensiell til / confidential until 01.01.2022 -
Design a WLAN mini access point in the android platform
(Master thesis, 2010)Mobile as a computing platform is becoming more and more popular. The amount of such devices shipped every year is growing rapidly, more than 1.2 billion in 2009. At the same time the WLAN is being widely adapted at ... -
Design and Implementation of Self-Powered Long Range IoT Device Based on LoRaWAN
(Master thesis, 2020)This project proposes a self-powered long-range wireless sensor node based on Long Range Wide Area Network (LoRaWAN) with various sensing capabilities. The nodes have been designed in such a way that these are ... -
Design and implementation of wake-up radios for long-range wireless IoT devices
(Master thesis, 2019)As the development within Internet of things IoT increases rapidly andthe market starts to utilize its potential, an enormous effort is being madein both academia and industry to optimize solutions according to the mar-ket ... -
Design of a VR application for pilots as a complementary tool for procedure training of Abnormal Operations
(Master thesis, 2021)The aviation industry has been amongst the early adopters of VR for educational purposes, even since the very beginning of VR’s technology establishment and throughout its further development. Flight simulators are invaluable ... -
Design of energy efficient MAC protocols in wireless sensor networks
(Master thesis, 2014)Wireless sensor networks (WSNs) have been used in variety of applications such as in military and defense, process control industry and health monitoring applications. In WSNs, sensors are in small size with limited battery ... -
Design, implementation and analysis of a theft-resistant password manager based on Kamouflage architecture
(Master thesis, 2015)As a solution for helping companies and users in the constant security dilemma of obtaining and using passwords in the securest ways possible, password managers have become custom around the globe. The design architecture ... -
Designing a collaboration application for Sense Intellifield/Technology with use of contextual design
(Master thesis, 2004)Sense Technology and its branch company Sense Intellifield delivers integrated automation and information systems for the oil industry, marine and other industries. Now they are working on a project called IMEX, which ... -
DET: Data Enhancement Technique for Aerial Images
(Master thesis, 2022)Deep learning and computer vision are two thriving research areas within machine learning. In recent years, as the available computing power has grown, it has led to the possibility of combining the approaches, achieving ... -
DET: Data Enhancement Technique for Aerial Images
(Master thesis, 2022)Deep learning and computer vision are two thriving research areas within machine learning. In recent years, as the available computing power has grown, it has led to the possibility of combining the approaches, achieving ... -
Detecting and Classifying Hawaiian Monk Seal Vocalizations using Deep Learning
(Master thesis, 2022)The Hawaiian monk seal (Neomonachus schauinslandi) is one of the most endangered ma- rine mammals in the world. With an estimated population of 1,570 individuals remaining in the wild, the species have an urgent conservation ... -
Detecting and Classifying Hawaiian Monk Seal Vocalizations using Deep Learning
(Master thesis, 2022)he Hawaiian monk seal (Neomonachus schauinslandi) is one of the most endangered marine mammals in the world. With an estimated population of 1,570 individuals remaining in the wild, the species have an urgent conservation ... -
Detecting and Classifying Hawaiian Monk Seal Vocalizations using Deep Learning
(Master thesis, 2022)The Hawaiian monk seal (Neomonachus schauinslandi) is one of the most endangered marine mammals in the world. With an estimated population of 1,570 individuals remaining in the wild, the species have an urgent conservation ... -
Detecting malicious network activity using flow data and learning automata
(Master thesis, 2009)Malicious software has become an increasing problem for both businesses and home users. The traditional antivirus solutions are not always enough to detect an infection. As a result of this a lot of businesses are deploying ... -
Determining gastrointestinal tract dysbiosis using machine learning techniques
(Master thesis, 2015)This thesis explores machine learning techniques for the purpose of determining gastrointestinal tract dysbiosis. Dysbiosis is an unbalance of bacteria flora. Stool sample analysis of relevant bacterias can be used in ...