Sökning: "importance of computer in science"

Visar resultat 1 - 5 av 55 uppsatser innehållade orden importance of computer in science.

1. 1. Improving echocardiogram view classification using diffusion models

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

   Författare :Luis Arevalo; Anouka Ranby; [2023-10-23]
   Nyckelord :Computer; science; computer science; engineering; project; artificial intelligence; machine learning; deep neural networks; diffusion models; synthetic data; echocardiogram classification;

   Sammanfattning : In the field of medical science datasets are often highly imbalanced, where rare datapoints are of high importance. This study aims to explore the usage of synthetic datasets to improve the classification of echocardiogram views. LÄS MER

3. 2. Analyzing the performance of active learning strategies on machine learning problems

   Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för systemteknik

   Författare :Vendela Werner; [2023]
   Nyckelord :computer science; bioinformatics; machine learning; active learning; artificial intelligence; supervised learning; Astrazeneca; maskininlärning; artificiell intelligens; datorvetenskap; active learning; bioinformatik; supervised learning;

   Sammanfattning : Digitalisation within industries is rapidly advancing and data possibilities are growing daily. Machine learning models need a large amount of data that are well-annotated for good performance. To get well-annotated data, an expert is needed, which is expensive, and the annotation itself could be very time-consuming. LÄS MER

4. 3. Predicting Airbnb Prices in European Cities Using Machine Learning

   Kandidat-uppsats, Blekinge Tekniska Högskola/Fakulteten för datavetenskaper

   Författare :Shalini Gangarapu; Venkata Surya Akash Mernedi; [2023]
   Nyckelord :Machine Learning; Supervised Learning; Regression Algorithms; Airbnb Price Prediction;

   Sammanfattning : Background: Machine learning is a field of computer science that focuses on creating models that can predict patterns and relations among data. In this thesis, we use machine learning to predict Airbnb prices in various European cities to help the hosts in setting reasonable prices for their properties. LÄS MER

5. 4. Playing by the Rules: Exploring the Challenges to Copyright Protection faced by Video Game Publishers

   Master-uppsats, Lunds universitet/Juridiska institutionen; Lunds universitet/Juridiska fakulteten

   Författare :Alice Niamh Savage; [2023]
   Nyckelord :Law and Political Science;

   Sammanfattning : The intellectual property regime within the European Union is one which has a rich and lengthy history, encompassing a wealth of forms of expression. The harmonisation of copyright can be dated to the creation of the Berne Convention for the Protection of Literary and Artistic Works of 1886. LÄS MER

7. 5. Messing With The Gap: On The Modality Gap Phenomenon In Multimodal Contrastive Representation Learning

   Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Industriell teknik

   Författare :Mohammad Al-Jaff; [2023]
   Nyckelord :Multimodal machine learning; Representation learning; Self-supervised learning; contrastive learning; computer vision; computational biology; bioinformatics;

   Sammanfattning : In machine learning, a sub-field of computer science, a two-tower architecture model is a specialised type of neural network model that encodes paired data from different modalities (like text and images, sound and video, or proteomics and gene expression profiles) into a shared latent representation space. However, when training these models using a specific contrastive loss function, known as the multimodalinfoNCE loss, seems to often lead to a unique geometric phenomenon known as the modality gap. LÄS MER