Sökning: "Features extraction"

Visar resultat 1 - 5 av 249 uppsatser innehållade orden Features extraction.

1. 1. An evaluation study of 3D imaging technology as a tool to estimate body weight and growth in dairy heifers

   Master-uppsats, SLU/Dept. of Animal Nutrition and Management

   Författare :Emelie Ahlberg; [2024]
   Nyckelord :body measurement; body weight; growth; heifer; three-dimensional imaging; young stock management;

   Sammanfattning : The aim of this thesis was to evaluate the use of a 3D camera as a tool to estimate body weight and growth in dairy heifers. Data collection lasted from October 2022 to January 2023 and was performed at the Swedish Livestock Research Centre in Uppsala, Sweden. LÄS MER

3. 2. Exploring State-of-the-Art Machine Learning Methods for Quantifying Exercise-induced Muscle Fatigue

   Uppsats för yrkesexamina på avancerad nivå, Högskolan i Halmstad/Akademin för informationsteknologi

   Författare :Abboud Afram; Danial Sarab Fard Sabet; [2023]
   Nyckelord :EMG; SEMG; STFT; CWT; SVM; CNN; GAN; DCGAN; BCE; SGD; deep learning; machine learning; muscle fatigue; DCGAN; spectrogram; CNN models; transfers learning; data augmentation; feature extraction;

   Sammanfattning : Muscle fatigue is a severe problem for elite athletes, and this is due to the long resting times, which can vary. Various mechanisms can cause muscle fatigue which signifies that the specific muscle has reached its maximum force and cannot continue the task. LÄS MER

4. 3. Biodiversity Monitoring Using Machine Learning for Animal Detection and Tracking

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

   Författare :Qian Zhou; [2023]
   Nyckelord :Small Target Detection; Target Tracking; YOLOv5; DeepSORT; Attention Mechanism; Loss Function; Feature Extraction and Fusion Network; Detektering Av små sål; sålspårning; YOLOv5; DeepSORT; uppmärksamhetsmekanism; förlustfunktion; fusionsnätverk;

   Sammanfattning : As an important indicator of biodiversity and ecological environment in a region, the number and distribution of animals has been given more and more attention by agencies such as nature reserves, wetland parks, and animal protection supervision departments. To protect biodiversity, we need to be able to detect and track the movement of animals to understand which animals are visiting the space. LÄS MER

5. 4. Deep Reinforcement Learning in Games Based on Extracted Features

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

   Författare :Emilia Sjögren; Erika Weidenhaijn; [2023]
   Nyckelord :;

   Sammanfattning : FlappyBird is a popular mobile game that captured many people's attention because itwas easy to understand but difficult to perform --- players were often right on the edge ofsucceeding, which led to a strong desire to play again. The purpose of this project is to investigatethe possibility of using a neural network trained with reinforcement learning to play the game usingextracted features rather than raw images. LÄS MER

7. 5. Extraction of Global Features for enhancing Machine Learning Performance

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

   Författare :Abyel Tesfay; [2023]
   Nyckelord :Machine Learning; Deep Learning; Feature Extraction; Global Features; Time-series data; Bioprocessing; Maskininlärning; Djupinlärning; Funktionsextraktion; Globala Funktioner; Tidsserie data; Biobearbetning;

   Sammanfattning : Data Science plays an essential role in many organizations and industries to become data-driven in their decision-making and workflow, as models can provide relevant input in areas such as social media, the stock market, and manufacturing industries. To train models of quality, data preparation methods such as feature extraction are used to extract relevant features. LÄS MER