Essays about: "maskininlärningsalgoritmer"

Showing result 1 - 5 of 110 essays containing the word maskininlärningsalgoritmer.

1. 1. Predictive Modeling of Pipetting Dynamics. Multivariate Regression Analysis: PLS and ANN for Estimating Density and Volume from Pressure Recordings

   University essay from Lunds universitet/Avdelningen för Biomedicinsk teknik

   Author : Lisa Linard Pedersen; [2024]
   Keywords : Technology and Engineering;

   Abstract : Thermo Fisher Scientific manufacture automatic pipetting instruments for diagnostic tests. These tests are sensitive to abnormalities and changes in e.g. volume or density could potentially lead to less precision or other issues in the pipetting work flow. READ MORE

3. 2. Implementations and evaluation of machine learning algorithms on a microcontroller unit for myoelectric prosthesis control

   University essay from Lunds universitet/Avdelningen för Biomedicinsk teknik

   Author : Jonathan Benitez; [2023]
   Keywords : microcontroller; deep learning; artificial neural network; electromyography; myoelectric prosthesis; Technology and Engineering;

   Abstract : Using a microcontroller unit to implement different machine learning algorithms for myoelectric prosthesis control is currently feasible. Still there are hardware and timing constraints that need to be accounted for. READ MORE

4. 3. Hit song analysis on the Swedish music market : An exploration of hit song classification

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

   Author : David Hurtig; Petter Lager; [2023]
   Keywords : Music; Audio; Machine-learning; Hit-songs; Hit song prediction;

   Abstract : Assessing hit song potential is a challenge in the music industry. The question of what song to promote, which song to release first and whether or not it will succeed has always been an issue for stakeholders in the music business. The ability to statistically evaluate hit song potential is a growing field with several studies exploring the topic. READ MORE

5. 4. Prediction Models for TV Case Resolution Times with Machine Learning

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

   Author : Borja Javierre I Moyano; [2023]
   Keywords : Datasets; Machine Learning ML ; Prediction; Resolution Time RT ; Solve Time; TV Cases; Trouble Tickets TT ; Customer-Related Trouble Tickets Resolution Time; CRM system; BI system; Telecommunications; Dataset; Machine Learning ML ; Prediction; Resolution Time; Solve Time; TV Cases; Trouble Tickets TT ; Kundrelaterade problem Tickets Resolution tid; CRM-system; BI-system; Telekommunikationer.;

   Abstract : TV distribution and stream content delivery of video over the Internet, since is made up of complex networks including Content Delivery Networks (CDNs), cables and end-point user devices, that is very prone to issues appearing in different levels of the network ending up affecting the final customer’s TV services. When a problem affects the customer, and this prevents from having a proper TV delivery service in devices used for stream purposes, the issue is reported through a call, a TV case is opened and the company’s customer handling agents start supervising it to solve the problem as soon as possible. READ MORE

6. 5. Channel Estimation Optimization in 5G New Radio using Convolutional Neural Networks

   University essay from Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)

   Author : David Adolfsson; [2023]
   Keywords : Channel Estimation; 5G NR; CNN; Kanalestimering; 5G NR;

   Abstract : Channel estimation is the process of understanding and analyzing the wireless communication channel's properties. It helps optimize data transmission by providing essential information for adjusting encoding and decoding parameters. READ MORE