Sökning: "Parallel Neural Networks"

Visar resultat 1 - 5 av 31 uppsatser innehållade orden Parallel Neural Networks.

1. 1. Low-power Implementation of Neural Network Extension for RISC-V CPU

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

   Författare :Dario Lo Presti Costantino; [2023]
   Nyckelord :Artificial intelligence; Deep learning; Neural networks; Edge computing; Convolutional neural networks; Low-power electronics; RISC-V; AI accelerators; Parallel processing; Artificiell intelligens; Deep learning; Neurala nätverk; Edge computing; konvolutionella neurala nätverk; Lågeffektelektronik; RISC-V; AI-acceleratorer; Parallell bearbetning;

   Sammanfattning : Deep Learning and Neural Networks have been studied and developed for many years as of today, but there is still a great need of research on this field, because the industry needs are rapidly changing. The new challenge in this field is called edge inference and it is the deployment of Deep Learning on small, simple and cheap devices, such as low-power microcontrollers. LÄS MER

3. 2. Machine learning-assisted image analysis and metabarcoding for monitoring of plankton in the seas surrounding Sweden

   Master-uppsats, KTH/Industriell bioteknologi

   Författare :Karin Garefelt; [2023]
   Nyckelord :Imaging FlowCytobot; imaging-in-flow cytometry; plankton imaging; convolutional neural network; metabarcoding; Imaging FlowCytobot; flödesmikroskopi; övervakning av plankton; konvolutionella neuronnät; DNA-streckkodning;

   Sammanfattning : I miljöövervakningen av haven runt Sverige har manuell mikroskopi av plankton länge varit den huvudsakliga tekniken för att övervaka växtplanktonbestånden och algblomningar. Nya tekniker utvärderas, men det är inte känt hur resultaten från de nyare teknikerna relaterar till varandra. LÄS MER

4. 3. Enhancing person re-identification: leveraging DensePose for improving occlusion handling and generalization

   Master-uppsats, Lunds universitet/Matematik LTH

   Författare :Björn Elwin; Anton Fredriksson; [2023]
   Nyckelord :Mathematics and Statistics;

   Sammanfattning : In this master’s thesis we propose a DensePose-based person re-identification (re-ID) machine learning algorithm building upon previous research on this topic. DensePose, a deep neural network that performs human body part segmentation on images, forms the foundation of our approach. LÄS MER

5. 4. Unsupervised Anomaly Detection in Multivariate Time Series Using Variational Autoencoders

   Magister-uppsats, Lunds universitet/Matematik LTH

   Författare :Elias Aronsson; [2023]
   Nyckelord :Anomaly Detection; Variational Autoencoder VAE ; Unsupervised Learning; Machine learning; AI; Technology and Engineering;

   Sammanfattning : In this master’s thesis, a novel unsupervised anomaly detection tool was developed in collaboration with Sandvik Rock Processing to assist engineers and experts in analyzing large amounts of sensor data from cone crushers used in the stone crushing industry. The tool focuses on analyzing power, pressure, and CSS sensor data. LÄS MER

7. 5. Generating Extreme Value Distributions in Finance using Generative Adversarial Networks

   Master-uppsats, KTH/Matematik (Avd.)

   Författare :William Nord-Nilsson; [2023]
   Nyckelord :Extreme Value Theory; Generative Adversarial Networks; Stress Testing; Machine Learning; Convolutional Neural Networks; evtGAN; Extreme Events; Extremvärdesteori; Generativa nätverk; Stresstestning; Maskininlärning; Djupt neuralt nätverk; evtGAN; Extrema händelser;

   Sammanfattning : This thesis aims to develop a new model for stress-testing financial portfolios using Extreme Value Theory (EVT) and General Adversarial Networks (GANs). The current practice of risk management relies on mathematical or historical models, such as Value-at-Risk and expected shortfall. LÄS MER