Essays about: "Dilated Convolutional Neural Network"

Showing result 1 - 5 of 6 essays containing the words Dilated Convolutional Neural Network.

  1. 1. Deep Learning-Driven EEG Classification in Human-Robot Collaboration

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Yuan Wo; [2023]
    Keywords : Human-robot collaboration; Electroencephalogram signal; Signal Processing Feature Extraction; Deep Learning method; Dilated Convolutional Neural Network; Människa-robot-samarbete; Elektroencefalogram-signal; Signalförädlingsfunktionsutvinning; Djupinlärningsmetod; Dilaterat konvolutionellt neuronnätverk.;

    Abstract : Human-robot collaboration (HRC) occurs when people and robots work together in a shared environment. Current robots often use rigid programs unsuitable for HRC. Multimodal robot programming offers an easier way to control robots using inputs like voice and gestures. READ MORE

  3. 2. A One-stage Detector for Extremely-small Objects Based on Feature Pyramid Network

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Yini Gao; [2020]
    Keywords : ;

    Abstract : Thanks to the recent development in Graphics Processing Unit (GPU) and deep neural network, outstanding enhancement has been made in real-time and multi-scale object detection. However, most of these detectors ignore the situations where the target needs to be identified is extremely-small corresponding to the size of the image or video. READ MORE

  4. 3. Programmable Address Generation Unit for Deep Neural Network Accelerators

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Muhammad Jazib Khan; [2020]
    Keywords : Address Generation Unit; Deep Neural Network Accelerators; Very Long Instruction Word; Application Specific Instruction Processor; Hardware-Software Co-design; Adressgenereringsenhet; Deep Neural Network Accelerators; Mycket långt instruktionsord; Applikationsspecifik instruktionsprocessor; Hårdvaruprogramvara Samdesign;

    Abstract : The Convolutional Neural Networks are getting more and more popular due to their applications in revolutionary technologies like Autonomous Driving, Biomedical Imaging, and Natural Language Processing. With this increase in adoption, the complexity of underlying algorithms is also increasing. READ MORE

  5. 4. A comparison between bootstrap and dropout for uncertainty estimates of time series forecast using a convolutional neural network

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Elin Vallbo; [2019]
    Keywords : ;

    Abstract : Forecasting the future is important in many applications, including forecasting future sales volumes. However, point forecasts without any estimates of the uncertainty are not as useful as if the uncertainty in the forecast is included. READ MORE

  6. 5. Transfer Learning for Sales Volume Forecasting Using Convolutional Neural Networks

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Marcus Alsterman; [2019]
    Keywords : ;

    Abstract : Improved time series forecasting accuracy can enhance demand planning, and therefore save money and reduce environmental impact. The idea behind this degree project is to explore transfer learning for time series forecasting. This has boiled down to two concrete goals. READ MORE