Sökning: "Improving"
Visar resultat 1 - 5 av 5738 uppsatser innehållade ordet Improving.
1. LEARNING AND COLLABORATION VIA DIGITAL COMMUNICATION TECHNOLOGIES IN ECOVILLAGES A Study on Learning in Ecovillage Communities of Practice and Affordances of Virtual Immersive Learning Environments
Master-uppsats, Institutionen för tillämpad informationsteknologiSammanfattning : Ecovillages are intentional residential communities aimed at improving human quality of life while protecting and regenerating the surrounding nature in order to create a more sustainable lifestyle based on cooperative culture and sharing (Dawson, 2006; GEN, n.d.b; Mychajluk, 2017). LÄS MER
2. Feature Selection for Microarray Data via Stochastic Approximation
Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknikSammanfattning : 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. From Disruption to Efficiency: The role of SRM and JIT strategies in Automotive Supply Chains Authors: Jennie
Kandidat-uppsats, Göteborgs universitet/Företagsekonomiska institutionenSammanfattning : Purpose - The incessantly progressing automotive industry faces various challenges due to its complex supply chains. This study aims therefore to 1) explore the roots of material supply disruptions in the automotive industry and the challenges of managing these and 2) assess the role of Supplier Relationship Management (SRM) in mitigating these disruptions. LÄS MER
4. Insights Into Wind Profile Characteristics in the Arctic Marine Boundary Layer
Master-uppsats, Uppsala universitet/Luft-, vatten- och landskapsläraSammanfattning : The atmospheric boundary layer in the Arctic is essential for the understanding of climate change and improving regional weather prediction. The aim of this study is to investigate to which degree wind speed profiles retrieved in the Arctic agree with well known wind profile concepts and understand which local impact factors influence the wind speed profile. LÄS MER
5. Optimizing Flight Ranking:A Machine Learning Approach : Applying Machine Learning to Upgrade Flight Sorting and User Experience
M1-uppsats, KTH/Hälsoinformatik och logistikSammanfattning : Flygresor.se, a leading flight comparison platform, uses machine learning to rankflights based on their likelihood of being clicked. The main goal of this project was toimprove this flight sorting to obtain a better user experience. The platform's existingmodel is based on a neural network approach and a limited set of features. LÄS MER