Sökning: "K-Fold Cross Validation Test"

Visar resultat 1 - 5 av 8 uppsatser innehållade orden K-Fold Cross Validation Test.

1. 1. Rotor temperature estimation in Induction Motors with Supervised Machine Learning

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Christopher Gauffin; [2023]
   Nyckelord :Induction motors; Supervised Machine learning; Power converters; Parameter estimation; Embedded systems; Induktionsmotorer; Övervakad maskininlärning; Strömkonverterare; Parameterestimering; Inbyggda system;

   Sammanfattning : The electrification of the automotive industry and artificial intelligence are both growing rapidly and can be greatly beneficial for a more sustainable future when combined. Induction machines exhibit many complex relationships between physical and electromagnetic properties that must be calculated in order to produce the correct quantities of torque and speed commanded by the driver. LÄS MER

3. 2. Viewership forecast on a Twitch broadcast : Using machine learning to predict viewers on sponsored Twitch streams

   Master-uppsats, Linköpings universitet/Institutionen för datavetenskap

   Författare :Jonas Malm; Martin Friberg; [2022]
   Nyckelord :twitch; viewership; prediction; regression; machine learning; XGBoost; streaming; distance metrics; feature selection; cross-validation; feature engineering; pre-processing;

   Sammanfattning : Today, the video game industry is larger than the sports and film industries combined, and the largest streaming platform Twitch with an average of 2.8 million concurrent viewers offers the possibility for gaming and non-gaming brands to market their products. LÄS MER

4. 3. Discovering and masking environmental features in modern sandboxes

   Uppsats för yrkesexamina på avancerad nivå, Blekinge Tekniska Högskola/Institutionen för datavetenskap

   Författare :Alexander Ljungberg; Simon Smedberg; [2022]
   Nyckelord :Sandbox; Masking; Anti-VM; Anti-detection; Sandlåda; Maskering; Anti-VM; Antidetektering;

   Sammanfattning : Background. The awareness of cyber attacks in businesses is increasing with the rising number of cyber incidents for businesses. With nearly 350 000 new malware detected per day, there is a big incentive to allocate resources to company infrastructure to mitigate malware. These solutions require scalability not to become bottlenecks and expensive. LÄS MER

5. 4. Friends character classification personality quiz

   Kandidat-uppsats, Uppsala universitet/Avdelningen för systemteknik

   Författare :Ruben Hedström; Leon Lovén; Simon Mojtahedi; Fredrik Malmström; [2021]
   Nyckelord :Quiz; Friends; Machine learning; Information technology;

   Sammanfattning : The purpose of this project was to create a personality quiz based on the scientifical method and machine learning that determine which character in the TV-series Friends that the person taking the quiz is the most similar to. The manuscripts from all the episodes were used to extract features and create a split training/test dataset. LÄS MER

7. 5. Determining linguistic predictor for the classification of subjective cognitive impairment and mild cognitive impairment using machine learning

   Master-uppsats, Göteborgs universitet / Institutionen för filosofi, lingvistik och vetenskapsteori

   Författare :Tian Wang; [2020-09-01]
   Nyckelord :mild cognitive impairment; sibjective cognitive impairment; natural language processing; support vector machine; neural networks;

   Sammanfattning : Introduction Mild Cognitive Impairment (MCI) is a neurological condition characterized by cognitive decline greater than expected for an individual's age and education level. Subjective Cognitive Impairment (SCI) is a selfreported decline in cognitive abilities but not clinically identified as MCI. LÄS MER