Essays about: "Machine capacity"

Showing result 21 - 25 of 217 essays containing the words Machine capacity.

1. 21. Automatic Distractor Generation for Spanish Reading Comprehension Questions : Using language models to generate wrong, but plausible answers for multiple choice questions in Spanish

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Jorge Santiago Roman Avila; [2023]
   Keywords : Distractor Generation; Multiple Choice Questions; Reading Comprehension; Spanish Language; BERT; GPT; Distraktorgeneration; Flervalsfrågor; Läsförståelse; Spanska språket; BERT; GPT; Generación de Distractores; Preguntas de Opción Múltiple; Comprensión de Lectura; Lenguaje Español; BERT; GPT;

   Abstract : A common evaluation method for students in the context of reading comprehension is the use of Multiple Choice Questions. A student must read a text and a question, and then choose the correct answer from a set of options, one of which one is the correct answer, and the other options are wrong. The wrong options are called distractors. READ MORE

3. 22. Analysis of flash memory wear based on cache configuration and available memory

   University essay from Lunds universitet/Institutionen för elektro- och informationsteknik

   Author : Markus Andersson; Filip Hermansson; [2023]
   Keywords : flash memory; file cache; disk cache; write amplification factor; over-provisioning; HMI panel; wear leveling; Technology and Engineering;

   Abstract : This thesis aimed at examining the effects of file and disk cache for certain writing patterns and file sizes for Beijer Electronic's human machine interface (HMI) panels with the focus on write amplification factor (WAF). The goal was to determine optimal configurations to reduce WAF for different use cases to prolong the lifetime of Beijer Electronic's HMI panels. READ MORE

4. 23. Users’ Attitude Towards ChatGPT : A sentiment Analysis on Twitter & Reddit

   University essay from Uppsala universitet/Informationssystem

   Author : Jonas Örnfelt; [2023]
   Keywords : ChatGPT; Sentiment analysis; Artificial intelligence AI ; Deep learning;

   Abstract : OpenAI recently introduced ChatGPT, a chatbot powered by the GPT-3 family of deep learninglanguage models (LLMs). With the aid of machine learning techniques, ChatGPT has been fine-tuned to improve its capacity to respond to a diverse range of queries, and it has been describedas one of the most advanced machine learning technologies currently available. READ MORE

5. 24. Root-cause analysis with data-driven methods and machine learning in lithium-ion battery tests : Master's thesis about detecting deviations with PCA

   University essay from Uppsala universitet/Avdelningen för systemteknik

   Author : Frans Rademacher; [2022]
   Keywords : Machine learning; Li-ion; batteries; PCA; deviations; anomaly detection; root-cause analysis; differential capacity; feature engineering;

   Abstract : The increased demand of energy storage systems and electric vehicles on the market result in high demand of lithium-ion batteries. As a lithium-ion battery manufacturer, Northvolt runs quality tests on the products to assess their performance, life and safety. READ MORE

6. 25. ASSESMENT OF WIND POWER FORECASTING ERROR FOR GOTLAND

   University essay from Uppsala universitet/Institutionen för geovetenskaper

   Author : Simon Rengmyr; [2022]
   Keywords : Wind power forecasting; Machine learning; Numerical weather prediction;

   Abstract : When the wind blows and wind turbine generators harvests the kinetic energy and trans- forms it to electrical power, there is a need for predicting how much power that will be dispatched from the turbines. Even the most perfect computer model with high computa- tional power could not model the beauty of the forces of nature and we must accept some degree of forecasting error in the predicted power output due to the inherently stochastic patterns in the atmosphere. READ MORE