Sökning: "Convolution Neural Network CNN"

Visar resultat 1 - 5 av 31 uppsatser innehållade orden Convolution Neural Network CNN.

1. 1. Implementations and evaluation of machine learning algorithms on a microcontroller unit for myoelectric prosthesis control

   Master-uppsats, Lunds universitet/Avdelningen för Biomedicinsk teknik

   Författare :Jonathan Benitez; [2023]
   Nyckelord :microcontroller; deep learning; artificial neural network; electromyography; myoelectric prosthesis; Technology and Engineering;

   Sammanfattning : Using a microcontroller unit to implement different machine learning algorithms for myoelectric prosthesis control is currently feasible. Still there are hardware and timing constraints that need to be accounted for. LÄS MER

3. 2. A General Purpose Near Data Processing Architecture Optimized for Data-intensive Applications

   Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

   Författare :Xingda Li; Haidi Hu; [2023]
   Nyckelord :Technology and Engineering;

   Sammanfattning : In recent years, as Internet of Things (IoT) and machine learning technologies have advanced, there has been increasing interest in the study of energy-efficient and flexible architectures for embedded systems. To bridge the performance gap between microprocessors and memory systems, Near-Data Processing (NDP) was introduced. LÄS MER

4. 3. Enhancing failure prediction from timeseries histogram data : through fine-tuned lower-dimensional representations

   Master-uppsats, Högskolan i Halmstad/Akademin för informationsteknologi

   Författare :Vijay Jayaraman; [2023]
   Nyckelord :time-series prediction; time-series histogram analysis; Convolution Neural Network CNN ; Autoencoder; Weibull Time-to-Event WTTE ; Recurrent Neural Network RNN ; Engine turbo charger failure prediciton;

   Sammanfattning : Histogram data are widely used for compressing high-frequency time-series signals due to their ability to capture distributional informa-tion. However, this compression comes at the cost of increased di-mensionality and loss of contextual details from the original features. LÄS MER

5. 4. Transformer-Based Multi-scale Technical Reports Analyser for Science Projects Cost Prediction

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

   Författare :Thomas Bouquet; [2023]
   Nyckelord :Natural Language Processing; Transformers; Deep Learning; Cost Prediction; Traitement Automatique du Langage; Transformers; Apprentissage Profond; Prédiction de coûts; Behandling av naturligt språk; Transformers; Djupinlärning; Kostnadsförutsägelser;

   Sammanfattning : Intrinsic value prediction is a Natural Language Processing (NLP) problem consisting in determining a numerical value contained implicitly and non-trivially in a text. In this project, we introduce the SWORDSMAN model (Sentence and Word-level Oracle for Research Documents by Semantic Multi-scale ANalysis), a deep neural network architecture based on transformers whose goal is to predict the cost of research projects from the analysis of their abstract. LÄS MER

7. 5. Selective Kernel Network based Crowding Counting and Crowd Density Estimation

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

   Författare :Jinchen Liu; [2023]
   Nyckelord :Crowding Counting; Convolution Neural Network; Selective kernel; Trängselräkning; konvolutionsneuralnätverk; Selektiv kärna;

   Sammanfattning : Managing crowd density has become an immense challenge for public authorities due to population growth and evolving human dynamics. Crowd counting estimates the number of individuals in a given area or scene, making it a practical technique applicable in real-world scenarios such as surveillance and traffic control. LÄS MER