Essays about: "Best Analysis, custom analysis"
Showing result 1 - 5 of 15 essays containing the words Best Analysis, custom analysis.
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1. Evaluating machine learning models for text classification
University essay from Lunds universitet/Institutionen för reglerteknikAbstract : This thesis will explore the use of AWS machine learning services that enable natural language processing (NLP). More specifically, this work will focus on sentiment analysis of product and service reviews written in Swedish. READ MORE
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2. A Comparison of Building Energy Performance Simulation Tools in BIM and non-BIM environments
University essay from Lunds universitet/Institutionen för arkitektur och byggd miljö; Lunds universitet/Avdelningen för Energi och byggnadsdesignAbstract : The detailed use of Building Performance Simulation (BPS) tools to estimate the energy use and encourage energy savings solutions is vital in mitigating the energy use for buildings and the production of this energy. Furthermore, the design of energy-efficient and environmentally friendly buildings involves a collaborative effort among professionals in the Architecture, Engineering, and Construction (AEC) industry. READ MORE
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3. Development of an analytical method for the screening of meaty flavors in commercial foodstuff by SPME-GC/O-MS
University essay from Lunds universitet/Livsmedelsteknik och nutrition (master)Abstract : The aim of the project was to develop a methodology for the chromatographic analysis able to identify the key odorants in meaty food products. The approach was based on the analysis of an already in market product and the theoretical background of the meaty flavors sensorially. READ MORE
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4. Training Bayesian Neural Networks
University essay from Lunds universitet/Beräkningsbiologi och biologisk fysik - Genomgår omorganisationAbstract : Although deep learning has made advances in a plethora of fields, ranging from financial analysis to image classification, it has some shortcomings for cases of limited data and complex models. In these cases the networks tend to be overconfident in their prediction even when erroneous - something that exposes its applications to risk. READ MORE
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5. Evaluation of Parking Space Detection From Aerial Imagery Using Convolutional Neural Networks
University essay from Lunds universitet/Matematik LTHAbstract : In this thesis, the viability of using Convolutional Neural Networks to detect parking spaces using aerial imagery has been evaluated. Three state of the art networks have been tested - YOLOv3, RetinaNet, and Mask R-CNN. READ MORE