Sökning: "CNN architecture"

Visar resultat 1 - 5 av 119 uppsatser innehållade orden CNN architecture.

1. 1. CNN-LSTM architecture for predicting hazardous driving situations

   Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

   Författare :Noomi Lindblad; Stefani Platakidou; [2023-10-05]
   Nyckelord :Data science; Machine learning; LSTM; CNN; Vehicle data; Hazardous driving situation; Deep learning;

   Sammanfattning : This study aims to investigate how a CNN-LSTM model can be used together with recorded vehicle data from trucks and external weather data in order to predict a hazardous driving situation. The dataset consists of three-second-long driving snippets from customer and development trucks registered within Europe. LÄS MER

3. 2. ANOMALY DETECTION FOR INDUSTRIAL APPLICATIONS USING COMMODITY HARDWARE

   Kandidat-uppsats, Mälardalens universitet/Akademin för innovation, design och teknik

   Författare :John Moberg; Jonathan Widén; [2023]
   Nyckelord :Computer Vision; Anomaly Detection; Single Board Computer; Embedded systems;

   Sammanfattning : As the Automotive industry is heavily regulated from a quality point of view, excellence in pro-duction is obligatory. Due to the fact that removing human error from humans is impossible, new solutions must be found. LÄS MER

4. 3. Object Recognition in Satellite imagesusing improved ConvolutionalRecurrent Neural Network

   Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

   Författare :TARUN NATTALA; [2023]
   Nyckelord :CRNN; CNN; RNN; Machine Learning and Satellite Image Recognition.;

   Sammanfattning : Background:The background of this research lies in detecting the images from satellites. The recognition of images from satellites has become increasingly importantdue to the vast amount of data that can be obtained from satellites. This thesisaims to develop a method for the recognition of images from satellites using machinelearning techniques. LÄS MER

5. 4. The impact of pruning Convolutional Neural Networks when classifying skin cancer

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

   Författare :Gustaf Larsson; Marcus Odin; [2023]
   Nyckelord :;

   Sammanfattning : Over the past few years, there have been multiple reports showcasing how Convolutional Neural Networks (CNNs) can be used to classify if skin lesions are cancerous or non-cancerous. However, a limitation of CNNs is the large number of parameters resulting in high computation times. LÄS MER

7. 5. Evaluation of deep learning methods for industrial automation

   Master-uppsats, Umeå universitet/Institutionen för datavetenskap

   Författare :Ragnar Onning; [2023]
   Nyckelord :artificial intelligence; machine learning; deep learning; cnn; transformer; swin; swin transformer;

   Sammanfattning : The rise and adaptation of the transformer architecture from natural language processing to visual tasks have proven a useful and powerful tool. Subsequent architectures such as visual transformers (ViT) and shifting window (SWIN) transformers have proven to be comparable and oftentimes exceed convolutional neural networks (CNNs) in terms of accuracy. LÄS MER