Sökning: "computational study"

Visar resultat 1 - 5 av 951 uppsatser innehållade orden computational study.

1. 1. Feature Selection for Microarray Data via Stochastic Approximation

   Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

   Författare :Erik Rosvall; [2024-03-18]
   Nyckelord :feature selection; feature ranking; microarray data; stochastic approximation; Barzilai and Borwein method; Machine Learning; AI;

   Sammanfattning : This thesis explores the challenge of feature selection (FS) in machine learning, which involves reducing the dimensionality of data. The selection of a relevant subset of features from a larger pool has demonstrated its effectiveness in enhancing the performance of various machine learning algorithms. LÄS MER

3. 2. The Sound of Skepticism Analyzing Climate Change Denial in Swedish Podcasts and YouTube Channels

   Kandidat-uppsats, Göteborgs universitet / / Institutionen för sociologi och arbetsvetenskap

   Författare :Victoria Vallström; [2024-02-14]
   Nyckelord :denialism; climate skepticism; social movements; countermovements; digital media; digital data; computational grounded theory; topic modeling; computational text analysis;

   Sammanfattning : This study explores Sweden's climate change denial by analyzing the spoken-word discourse of its countermovement, focusing on digital media content from Swedish parliament member Elsa Widding with an aim to provide empirical insights into the discourse of Sweden's Climate Change Countermovement (CCCM). Questions guiding this study are: What are the most prevalent topics and themes related to climate change denial and skepticism? How do they align with established categories of climate change denial, shaping the overall narrative? What mobilizing ideas and meanings are present, how are they shaped, and how do they contribute to the movement's goals? The material consists of Elsa Widding's complete audio-based "movement texts'' from 2019-2023, including YouTube content, podcasts, and appearances on Riks, totaling over 2000 minutes of audio transcribed into text via AI technology. LÄS MER

4. 3. Station-level demand prediction in bike-sharing systems through machine learning and deep learning methods

   Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

   Författare :Nikolaos Staikos; [2024]
   Nyckelord :Physical Geography; Ecosystem Analysis; Bike-sharing demand; Machine learning; Deep learning; Spatial regression; Graph Convolutional Neural Network; Multiple Linear Regression; Multilayer Perceptron Regressor; Support Vector Machine; Random Forest Regressor; Urban environment; Micro-mobility; Station planning; Geomatics; Earth and Environmental Sciences;

   Sammanfattning : Public Bike-Sharing systems have been employed in many cities around the globe. Shared bikes are an efficient and convenient means of transportation in advanced societies. Nonetheless, station planning and local bike-sharing network effectiveness can be challenging. LÄS MER

5. 4. Exploring the Impact of Pseudo and Quasi Random Number Generators on Monte Carlo Integration of the Multivariate Normal Distribution

   Kandidat-uppsats, Lunds universitet/Statistiska institutionen

   Författare :Marcus Stolz; Jonathan Christopher; [2024]
   Nyckelord :Monte Carlo integration; Quasi monte carlo integration; Random number generation; Mathematics and Statistics;

   Sammanfattning : This thesis examines the effects of pseudo and quasi-random number generators on the accuracy and efficiency of Monte Carlo Integration in the case of the multivariate normal distribution. The study compares the performance of the Mersenne Twister (a pseudo-random number generator) with Sobol and Halton sequences (quasi-random number generators). LÄS MER

7. 5. Programmeringsundervisning i grundskolan och Makerspace-rörelsen : Vad ska läras ut och hur kan det läras ut?

   Uppsats för yrkesexamina på avancerad nivå, Karlstads universitet/Fakulteten för hälsa, natur- och teknikvetenskap (from 2013)

   Författare :Johan Pettersson; [2024]
   Nyckelord :Computational thinking; computer programming; Makerspace; NTA; primary school; Datalogiskt tänkande; grundskola; Makerspace; NTA; programmering;

   Sammanfattning : Syftet med studien är att beskriva och exemplifiera uppfattningar och tankar om datorkunskap och programmering inom grundskolan och Makerspace-rörelsen. Lärare, verksamhetsutvecklare och avdelningschef inom samma skolverksamhet samt, i jämförande syfte, en anställd på ett Makerspace intervjuades om deras uppfattning om datorkunskap och programmering. LÄS MER