Sökning: "deep-learning approach"

Visar resultat 21 - 25 av 425 uppsatser innehållade orden deep-learning approach.

1. 21. A Deep Learning Approach To Vehicle Fault Detection Based On Vehicle Behavior

   Master-uppsats, Malmö universitet/Institutionen för datavetenskap och medieteknik (DVMT)

   Författare :Rafi Khaliqi; Cozma Iulian; [2023]
   Nyckelord :Deep learning; attention mechanism; vehicle fault detection; CNN; Bi-LSTM; Bi-GRU; Supervised classification;

   Sammanfattning : Vehicles and machinery play a crucial role in our daily lives, contributing to our transportationneeds and supporting various industries. As society strives for sustainability, the advancementof technology and efficient resource allocation become paramount. LÄS MER

3. 22. Improved U-Net architecture for Crack Detection in Sand Moulds

   Kandidat-uppsats, Högskolan i Gävle/Datavetenskap

   Författare :Husain Ahmed; Hozan Bajo; [2023]
   Nyckelord :U-Net Architecture; Semantic Segmentation; Convolutional Neural Networks; Crack Detection;

   Sammanfattning : The detection of cracks in sand moulds has long been a challenge for both safety and maintenance purposes. Traditional image processing techniques have been employed to identify and quantify these defects but have often proven to be inefficient, labour-intensive, and time-consuming. LÄS MER

4. 23. Development of a Complete Minuscule Microscope: Embedding Data Pipeline and Machine Learning Segmentation

   Master-uppsats, KTH/Tillämpad fysik

   Författare :Kenan Zec; [2023]
   Nyckelord :Incubation-microscope; Machine Learning Segmentation; ESP32-Cam; Deep Learning; Inkubationsmikroskop; Maskininlärnings-segmentering; ESP32-Cam; Deep Learning;

   Sammanfattning : Cell culture is a fundamental procedure in many laboratories and precedes much research performed under the microscope. Despite the significance of this procedural stage, the monitoring of cells throughout growth is impossible due to the absence of equipment and methodological approaches. LÄS MER

5. 24. Dataset characteristics effect on time series forecasting : comparison of statistical and deep learning models

   Kandidat-uppsats, Högskolan i Halmstad/Akademin för informationsteknologi

   Författare :Adam Ahlman; Adam Taylor; [2023]
   Nyckelord :Time Series; Forecasting;

   Sammanfattning : Time series are points of data measured throughout time in equally spaced periods. They present characteristics such as level, noise, trend, seasonality, and outliers. Time series forecasting is the attempt to predict single or multiple future values. LÄS MER

7. 25. Towards gradient faithfulness and beyond

   Master-uppsats, Högskolan i Halmstad/Akademin för informationsteknologi

   Författare :Vincenzo Buono; Isak Åkesson; [2023]
   Nyckelord :XAI; Visual Explanations; CAM; Grad-CAM; Expected Grad-CAM; Hyper Expected Grad; Class Activation Maps; Explainable AI; Faithfulness; Neural Network interpretability; Hyper Resolution CAM; Super Resolution CAM; Natural Encoding;

   Sammanfattning : The riveting interplay of industrialization, informalization, and exponential technological growth of recent years has shifted the attention from classical machine learning techniques to more sophisticated deep learning approaches; yet its intrinsic black-box nature has been impeding its widespread adoption in transparency-critical operations. In this rapidly evolving landscape, where the symbiotic relationship between research and practical applications has never been more interwoven, the contribution of this paper is twofold: advancing gradient faithfulness of CAM methods and exploring new frontiers beyond it. LÄS MER