Mastereksamen - Side 7
Development and characterization of Ga2O3-based MOSFET transistors for high power electronics
Programmering og dybdelæring i fysikk - en kvalitativ studie av elevers arbeid med programmering i fysikk 1
Using Deep Reinforcement Learning for Active Flow Control
Exploring a Network Model of the Mouse Primary Visual Cortex
Search for electroweak production of charginos and sleptons decaying into final states with two leptons and missing transverse momentum in √ s= 13 TeV proton-proton collisions using the ATLAS detector
Enabling new methods for assessing neuronal GABAergic cells - dielectric relaxation spectroscopy and machine learning
Refinement of Antideuteron Formation Models
The Strength of the Scissors Resonance as a Function of Deformation in the 144, 148, 150 Nd Isotopes
Nematic Bond Theory of Frustrated Heisenberg Models on Triangular and Honeycomb Lattices
Dynamics of a 2D Bose-Einstein Condensate With an Impurity
Electron traps emerging in β-Ga2O3 after reverse bias annealing
Ionosfæriske scintillasjoner på GNSS-signaler over Dronning Maud Land, Antarktis: statistikk og kasusstudier
Differentiating between fresh-chilled and frozen-thawed chicken breasts and pork sirloins with bioimpedance
Dosimetric Comparison of Volumetric Modulated Arc Therapy (VMAT) and Intensity Modulated Proton Therapy (IMPT) for Anal Cancer
Experimental study of the pygmy dipole resonance in the (p,p'ϒ ) reaction on 124Sn and its evolution in the Sn isotopic chain
Molecular Structure Identification Using Machine Learning
"Presenting clinical diagnostics based on the analysis of the functional magnetic resonance imaging measurements and clinical parameters of the Neoadjuvant Avastin Breast Cancer study"
"Estimating cerebral water diffusion metrics from MRI using different model assumptions and sequence configurations. A simulation study."
"Background modeling and signal estimation using Gaussian Processes in the H→ϒϒ channel"
"Methods of low dose determination using EPR/alanine radiation dosimetry"
"Training deep learning models to classify input to simulations of a biological neural network"
"Classical Molecular Dynamics using Neural Network Representations of Potential Energy Surfaces"
"Immunogenic calreticulin signaling in lung and glioblastoma cancer cells after x-ray and proton irradiation - Protocol development and optimization"
"Studies of Quantum Dots using Machine Learning"