Essays about: "Technology Enhanced Learning"
Showing result 16 - 20 of 74 essays containing the words Technology Enhanced Learning.
-
16. Predicting Protein Stability with Machine Learning
University essay from Lunds universitet/Biofysikalisk kemiAbstract : Protein stability is a property of high importance and is of interest in a variety of fields. It determines if a protein has its native fold and can be of influence in certain diseases such as Parkinson's and Alzheimer's disease. READ MORE
-
17. Robot arm with object detection for waste management
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : Recycling is becoming more crucial due to the fast pace of consumerism. This thesis explores how well a robot arm, with three degrees of freedom, can be implemented to give an autonomous recycling process. After the prototyping phase it was found that a cylindrical robot arm was best suited for the project. READ MORE
-
18. Enabling a Circular Economy with Digital Product Passports: Information Requirements and Data Collection Practices
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : Circular and digital transformations are key focal points in the European Commission's regulations and directives, as evidenced by the proposed Ecodesign for Sustainable Products Regulation. This regulation aims to reduce the environmental impact of products throughout their life cycles. READ MORE
-
19. Evaluation of Ferroelectric Tunnel Junction memristor for in-memory computation in real world use cases
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : Machine learning algorithms are experiencing unprecedented attention, but their inherent computational complexity leads to high energy consumption. However, a paradigm shift in computing methods has the potential to address the issue. READ MORE
-
20. Efficient Memory Encryption for Neural Network Accelerators
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : The widespread integration of machine learning (ML) in edge and mobile devices, particularly in critical contexts like autonomous vehicles, highlights the need for robust security. However, ensuring data confidentiality and preserving inference integrity is costly due to the mismatch between traditional security methods and ML demands. READ MORE