Blar i Department of Information and Communication Technology på dokumenttype "Master thesis"
Viser treff 1-20 av 586
-
3D Convolution Neural Networks for Medical Imaging; Classification and Segmentation : A Doctor’s Third Eye
(Master thesis, 2020)In this thesis, we studied and developed 3D classification and segmentation models for medical imaging. The classification is done for Alzheimer’s Disease and segmentation is for brain tumor sub-regions. For the medical ... -
3D modul for syntetisk kalkulator
(Master thesis, 2006)ActionScript er et språk som har blitt benyttet mer og mer de senere årene og er en del av verktøyet Flash. Dette er et design verktøy som har gode metoder for animasjoner i 2D og genererer små filer som gjør det svært ... -
A battery and network usage model for smartphones
(Master thesis, 2012)Smartphones have emerged into platforms with powerful computational capabilities that generate large amount of data. Smartphones have become an important part of our daily life and we use smartphones more frequently than ... -
A Churn prediction model based on gaussian processes
(Master thesis, 2013)The telecommunication’s market has changed to a saturated one during the past few years. This makes it relatively costly to acquire new customers than to retain existing ones. Recent research has further showed that ... -
A comparison of database systems for rapid search results in large amounts of leaked data
(Master thesis, 2019)A large portion of the information on the Internet is stored in databases, since databases arethe natural place among online services for storage of user information. Hackers occasionallybreach web sites and publish ... -
A Comprehensive Framework for Patching and Vulnerability Management in Enterprises
(Master thesis, 2023)As patching and vulnerability management have become a larger part of an organization's routine, its need for proper integration and complexity toward systems has increased. Threat actors continuously seek to develop and ... -
A Comprehensive Framework for Patching and Vulnerability Management in Enterprises
(Master thesis, 2023)As patching and vulnerability management have become a larger part of an organization's routine, its need for proper integration and complexity toward systems has increased. Threat actors continuously seek to develop and ... -
A Deep Learning Approach for Recognizing Daily Movement Patterns through Accelerometer Data
(Master thesis, 2018)Physical activity is a key factor in the treatment of chronic diseases such asdiabetes, cardiovascular disease, and depression. Doctors and personal trainershave limited methods to accurately monitor and classify a patients ... -
A DEEP LEARNING SEGMENTATION APPROACH FOR AUTOMATIC INVOICE IDENTIFICATION
(Master thesis, 2019)The research on object detection has come a long way and has in recent years become so efficient andreliable that we see many practical applications in simple detection of objects in pictures to advancesegmentation in video ... -
A deep learning segmentation approach to calories and weight estimation of food images
(Master thesis, 2019)Today’s generation is very aware of what they are eating and the amountof calories in their food. Eating too many calories can lead to increasedweight, which has become a big health issue. A study from 2016 ... -
A Dynamic Framework Enhancing Situational Awareness in Cybersecurity SOC—IR
(Master thesis, 2022)Organizations today face a significant challenge in protecting their valuable IT assets. Cyber criminals unlimited to physical boundaries are able to disrupt and destroy cyber infrastructure, deny organizations access to ... -
A Dynamic Framework Enhancing Situational Awareness in Cybersecurity SOC—IR
(Master thesis, 2022)Organizations today face a significant challenge in protecting their valuable IT assets. Cyber criminals unlimited to physical boundaries are able to disrupt and destroy cyber infrastructure, deny organizations access to ... -
A Framework for Improving Intrusion Detection Systems by Combining Artificial Intelligence and Situational Awareness
(Master thesis, 2022)The vast majority of companies do not have the requisite tools and analysis to make use of the data obtained from security incidents in order to protect themselves from attacks and lower their risk. Intrusion Detection ... -
A Framework for Improving Intrusion Detection Systems by Combining Artificial Intelligence and Situational Awareness
(Master thesis, 2022)The vast majority of companies do not have the requisite tools and analysis to make use of the data obtained from security incidents in order to protect themselves from attacks and lower their risk. Intrusion Detection ... -
A Generative Adversarial Approach for Packet Manipulation Detection
(Master thesis, 2018)Over the years, machine learning has been used together with intrusion detection systems to protect networks against different threats. The evolution of machine learning has exploded and there are new types of of machine ... -
A Machine Learning and Point Cloud Processing based Approach for Object Detection and Pose Estimation: Design, Implementation, and Validation
(Master thesis, 2022)This thesis presents an automatic forklift approach for lifting and handling pallets. The project more specifically develops a solution for autonomous object detection and pose estimation by Machine Learning (ML), point ... -
A Machine Learning and Point Cloud Processing based Approach for Object Detection and Pose Estimation: Design, Implementation, and Validation
(Master thesis, 2022)This thesis presents an automatic forklift approach for lifting and handling pallets. The project more specifically develops a solution for autonomous object detection and pose es- timation by Machine Learning (ML), point ... -
A Machine Learning Approach to Predict Accidents using Real Spatiotemporal Road Data
(Master thesis, 2019)Konfidensiell til / confidential until 01.07.2024 -
A Machine Learning based Prediction Model for Bursty Traffic in 5G mMTC Networks
(Master thesis, 2019)The rapid growth in popularity for the Internet of Things (IoT) has paved the way for a newtype of communication, called Machine-type Communication (MTC), causing substantially in-creased traffic volume. The existing network ... -
A novel learning automata game with local feedback for parallel optimization of hydropower production
(Master thesis, 2017)Hydropower optimization for multi-reservoir systems is classi ed as a combinatorial optimization problem with large state-space that is particularly di cult to solve. There exist no golden standard when solving such ...