Sökning: "Energy Detection"
Visar resultat 1 - 5 av 357 uppsatser innehållade orden Energy Detection.
1. Uncertainty Quantification in Deep Learning for Breast Cancer Classification in Point-of-Care Ultrasound Imaging
Master-uppsats, Lunds universitet/Matematik LTHSammanfattning : Breast cancer is the most common type of cancer worldwide with an estimate of 2.3 million new cases in 2020, and the number one cause of cancer-related deaths in women. LÄS MER
2. Temporary Halting of Wind Turbine Rotors toMitigate Effects on Birds
Kandidat-uppsats, Umeå universitet/Institutionen för ekologi, miljö och geovetenskapSammanfattning : This study assesses the viability of temporarily halting wind turbine operations as amitigation measure to protect bird populations during migration periods. Conducted in thenorthern Baltic, it examines the migration patterns, timings, and altitudes of various birdspecies, aiming to identify the most critical times for implementing turbine stoppages. LÄS MER
3. Analysis of Atmospheric Muon Bundles with IceCube
Master-uppsats, Uppsala universitet/HögenergifysikSammanfattning : This work is a preliminary study of the background of a search for dark, long-lived particles in the IceCube detector. The high flux of atmospheric muons in IceCube is considered background to the detector's primary science goal, which is to detect astrophysical neutrinos through the emission of Cherenkov radiation. LÄS MER
4. Generation and detection of entangled single-photon pairs
Kandidat-uppsats, Uppsala universitet/FREIASammanfattning : Quantum information technology is an emerging field with important applications such as quantum cryptography and teleportation, quantum imaging and lithography. These applications make use of single photons and pairs of entangled photons. In this work, we experimentally generate and attempt to detect the entangled photons. LÄS MER
5. Audio Anomaly Detection in Cars
Master-uppsats, Göteborgs universitet/Institutionen för matematiska vetenskaperSammanfattning : Audio anomaly detection in the context of car driving is a crucial task for ensuring vehicle safety and identifying potential faults. This paper aims to investigate and compare different methods for unsupervised audio anomaly detection using a data set consisting of recorded audio data from fault injections and normal "no fault" driving. LÄS MER