Sökning: "transformer design process"
Visar resultat 1 - 5 av 20 uppsatser innehållade orden transformer design process.
1. Inductive fast charging of IoT devices : An in-depth analysis of short-range wireless charging technologies based on induction
Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för fysikSammanfattning : In the era of Internet of things (IoT), sensor-equipped devices exchange data over networks. In battery powered IoT devices, the lifespan of the devices is often much longer than the battery life, leading to multiple costly and environmentally hazardous battery replacements during the operational life of the devices. LÄS MER
2. Evaluating and optimizing Transformer models for predicting chemical reactions
Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknikSammanfattning : In this thesis, we assess the effectiveness of a transformer model specifically trained to predict chemical reactions. The model, named Chemformer, is a sequence-tosequence model that uses the transformer’s encoder and decoder stacks. LÄS MER
3. Deep Neural Networks as SurrogateModels for Fuel Performance Codes
Kandidat-uppsats, Uppsala universitet/Tillämpad kärnfysikSammanfattning : The core component of a nuclear power plant is the reactor and the fuel rods that supply it with fission fuel. Efficient and safe energy extraction is thus highly dependent on the reactor design and the conditions of the fuel rods. To anticipate high-quality operation and potential risks in advance, one must perform simulations on the fuel rods. LÄS MER
4. AI-POWERED TEXT ANALYSIS TOOL FOR SENTIMENT ANALYSIS
Kandidat-uppsats, Mälardalens universitet/Akademin för innovation, design och teknikSammanfattning : In today’s digital era, text data plays a ubiquitous role across various domains. This bachelor thesis focuses on the field of sentiment analysis, specifically addressing the task of classifying text into positive, negative, or neutral sentiments with the help of an AI tool. LÄS MER
5. Evaluation of Ferroelectric Tunnel Junction memristor for in-memory computation in real world use cases
Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknikSammanfattning : 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. LÄS MER