Sökning: "korttidsminne"
Visar resultat 1 - 5 av 66 uppsatser innehållade ordet korttidsminne.
1. Elevers svårigheter vid textbaserade problemlösningsuppgifter : En litteraturöversikt med utgångspunkt i läsförmåga och kognitiva processer
Uppsats för yrkesexamina på avancerad nivå, Högskolan i Halmstad/Akademin för lärande, humaniora och samhälleSammanfattning : I litteraturöversikten undersöker vi om det finns en korrelation mellan läsförståelse och matematik, med särskild inriktning på vad som kan förklara elevernas svårigheter relaterat till deras prestationer av textbaserade problemlösningsuppgifter inom matematik. Målet är att identifiera vilka specifika faktorer som påverkar elevers svårigheter när de löser textbaserade matematikuppgifter. LÄS MER
2. Intrusion Detection in IT Infrastructures using Hidden Markov Models
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : In the past decades, cloud based services have developed rapidly. And as a result, cybercrimehas increased in sophistication as well as frequency. It therefore becomes vital to have solidprotection against such attacks, especially for infrastructures containing sensitive information. LÄS MER
3. Contextual short-term memory for LLM-based chatbot
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : The evolution of Language Models (LMs) has enabled building chatbot systems that are capable of human-like dialogues without the need for fine-tuning the chatbot for a specific task. LMs are stateless, which means that a LM-based chatbot does not have a recollection of the past conversation unless it is explicitly included in the input prompt. LÄS MER
4. Supervised Algorithm for Predictive Maintenance
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Predictive maintenance plays a crucial role in preventing unexpected equipment failures and maintaining assets in good operating conditions in various systems. One such scenario where predictive maintenance has been widely used is in battery management systems for electronic vehicles based on lithium batteries, where the risk of failure can be reduced by predicting the remaining useful life of the lithium battery. LÄS MER
5. Convolutional-LSTM for IGBTs Prognostics and Age Monitoring : Designing a neural network for predicting aging precursors in power devices
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : In recent years, extensive research efforts have been dedicated to the field of prognostics and age-related degradation, with major focus on higher complexity devices. However, relatively little attention has been given to power devices, such as Insulated Bipolar Gate Transistors (IGBTs), despite their critical role in high power electronic applications. LÄS MER