Sökning: "learning cycle"
Visar resultat 1 - 5 av 208 uppsatser innehållade orden learning cycle.
1. Land cover classification using machine-learning techniques applied to fused multi-modal satellite imagery and time series data
Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapSammanfattning : Land cover classification is one of the most studied topics in the field of remote sensing, involving the use of data from satellite sensors to analyze and categorize different land surface types. There are numerous satellite products available, each offering different spatial, spectral, and temporal resolutions. LÄS MER
2. Att höra och förstå : En läromedelsanalys av hörförståelseuppgifter i tyska
Uppsats för yrkesexamina på grundnivå, Malmö universitet/Institutionen för kultur, språk och medier (KSM)Sammanfattning : Communication is an integral part of our everyday life. In learning a new a language, there are a series of different skills that need to be mastered by a student to be efficient in the language. One of these skills is listening comprehension. Listening comprehension is the skill that students found the hardest to master and be confident in. LÄS MER
3. Using poverty simulations to teach about poverty - an action research study
Master-uppsats, Göteborgs universitet/Institutionen för didaktik och pedagogisk professionSammanfattning : Aim: The purpose of this research study was to investigate the effect of a poverty simulation activity on 9th-grade students’ understanding of poverty. Theory: This study´s theoretical framework was built on Dewey´s theory of Experiential Education, Kolb´s Experiential Learning Cycle, and various critical approaches toward Experiential Learning and Education. LÄS MER
4. Machine Learning model applied to Reactor Dynamics
Master-uppsats, KTH/FysikSammanfattning : This project’s idea revolved around utilizing the most recent techniques in MachineLearning, Neural Networks, and Data processing to construct a model to be used asa tool to determine stability during core design work. This goal will be achieved bycollecting distribution profiles describing the core state from different steady statesin five burn-up cycles in a reactor to serve as the dataset for training the model. LÄS MER
5. Accelerating university-industry collaborations with MLOps : A case study about the cooperation of Aimo and the Linnaeus University
Master-uppsats, Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)Sammanfattning : Many developed machine learning models are not used in production applications as several challenges must be solved to develop and deploy ML models. Manual reimplementation and heterogeneous environments increase the effort required to develop an ML model or improve an existing one, considerably slowing down the overall process. LÄS MER