Essays about: "Emission prediction application"

Showing result 1 - 5 of 11 essays containing the words Emission prediction application.

1. 1. A Machine Learning Approach on Analysis of Emission Spectra for Application in XFEL Experiments

   University essay from Uppsala universitet/Institutionen för fysik och astronomi

   Author : Harald Agelii; [2023]
   Keywords : Structural biology; Machine learning; Neural networks; emission spectrum; XFEL; X-ray free electron laser; SFX; Serial femtosecond X-ray crystallography; Proteins; Diagnostics;

   Abstract : In this thesis we investigate two potential applications of machine learning in the context of X-ray imaging and spectroscopy of biological samples, particularly such using X-ray free electron lasers (XFEL). We first investigate the possibility of using an emission spectrum, recorded from a sample after being probed by an incident X-ray, as a diagnostic tool. READ MORE

3. 2. A Machine Learning Approach to Skin Cancer Delineation on Photoacoustic Imaging

   University essay from Lunds universitet/Fysiska institutionen; Lunds universitet/Beräkningsbiologi och biologisk fysik - Genomgår omorganisation

   Author : Alice Fracchia; [2023]
   Keywords : Skin cancer; carcinoma; photoacoustic imaging; ultrasound imaging; machine learning; dimensionality reduction; sandpiles algorithm; active contour; multilayer perception MLP ; convolutional neural networks CNN ; autoencoder; Physics and Astronomy;

   Abstract : Skin cancer is a growing public health concern due to its prevalence among the population. Current clinical procedures require high invasiveness and multiple surgeries, which are responsible for patient discomfort and high medical expenses. READ MORE

4. 3. COMPARISON OF THE WIND POWER PRODUCTION MODELS IN THE BALTIC SEA, A CASE STUDY IN THE LILLGRUND OFFSHORE WIND FARM

   University essay from Uppsala universitet/Institutionen för geovetenskaper

   Author : Zhenyu Liu; [2021]
   Keywords : ;

   Abstract : Wind energy, which is no emission of greenhouse gases, is attracting increasing attention world widely. Compared to onshore wind farms, offshore wind farms can yield greater power production since the wind speeds over the sea are higher and steadier than those over the land. READ MORE

5. 4. Automatic detection of the fuel composition in a Diesel Engine : Identifying fuel composition in the fuel system of a combustion engine and optimising for computational complexity

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Andree Hultgren; [2021]
   Keywords : Fuel Detection; Machine Learning; Feature Selection; Computational Complexity; Bränsledetektering; Maskininlärning; Paremeterval; Beräkningskomplexitet;

   Abstract : The transportation industry is responsible for 26% of all emission of greenhouse gases in the European Union. Many steps are being taken to minimise greenhouse gas emissions. The most effective way to reduce the emission of greenhouse gases is by transitioning to biofuels. READ MORE

6. 5. CONSTRUCTION EQUIPMENT FUEL CONSUMPTION DURING IDLING : Characterization using multivariate data analysis at Volvo CE

   University essay from Mälardalens högskola/Akademin för ekonomi, samhälle och teknik

   Author : Mujtaba Hassani; [2020]
   Keywords : Idling condition; environmental effect; diesel fuel; machine learning; multivariate data analysis; partial least square regression; support vector machine regression; principal component analysis; principal component regression; correlation coefficient matrix; artificial neural network; exhaust emission reduction techniques; global warming; emission regulation; CO2 estimation techniques; Gaussian process regression;

   Abstract : Human activities have increased the concentration of CO2 into the atmosphere, thus it has caused global warming. Construction equipment are semi-stationary machines and spend at least 30% of its life time during idling. The majority of the construction equipment is diesel powered and emits toxic emission into the environment. READ MORE