Essays about: "Computer networks thesis"

Showing result 1 - 5 of 206 essays containing the words Computer networks thesis.

  1. 1. Implementation of a Deep Learning Inference Accelerator on the FPGA.

    University essay from Lunds universitet/Institutionen för elektro- och informationsteknik

    Author : Shenbagaraman Ramakrishnan; [2020]
    Keywords : Artificial Intelligence; Machine Learning; Deep Learning; Neural Networks; Deep Learning Accelerators; NVDLA; FPGA; Technology and Engineering;

    Abstract : Today, Artificial Intelligence is one of the most important technologies, ubiquitous in our daily lives. Deep Neural Networks (DNN's) have come up as state of art for various machine intelligence applications such as object detection, image classification, face recognition and performs myriad of activities with exceptional prediction accuracy. READ MORE

  2. 2. Cascade Mask R-CNN and Keypoint Detection used in Floorplan Parsing

    University essay from Uppsala universitet/Institutionen för informationsteknologi

    Author : Anton Eklund; [2020]
    Keywords : mask r-cnn; cascade r-cnn; cascade mask r-cnn; floorplan; floorplans; computer vision; CNN; convolutional neural networks;

    Abstract : Parsing floorplans have been a problem in automatic document analysis for long and have up until recent years been approached with algorithmic methods. With the rise of convolutional neural networks (CNN), this problem too has seen an upswing in performance. READ MORE

  3. 3. Vehicle Path Prediction Using Recurrent Neural Network

    University essay from Linköpings universitet/Statistik och maskininlärning

    Author : Mim Kemal Tekin; [2020]
    Keywords : computer vision; autonomous driving; deep learning; uncertainty in deep learning;

    Abstract : Vehicle Path Prediction can be used to support Advanced Driver Assistance Systems (ADAS) that covers different technologies like Autonomous Braking System, Adaptive Cruise Control, etc. In this thesis, the vehicle’s future path, parameterized as 5 coordinates along the path, is predicted by using only visual data collected by a front vision sensor. READ MORE

  4. 4. Depth Estimation from Images using Dense Camera-Lidar Correspondences and Deep Learning

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

    Author : Ajinkya Khoche; [2020]
    Keywords : ;

    Abstract : Depth estimation from 2D images is a fundamental problem in Computer Vision, and is increasingly becoming an important topic for Autonomous Driving. A lot of research is driven by innovations in Convolutional Neural Networks, which efficiently encode low as well as high level image features and are able to fuse them to find accurate pixel correspondences and learn the scale of the objects. READ MORE

  5. 5. Evaluation of two CNN models, VGGNet-16 & VGGNet-19, for classification of Alzheimer’s disease in brain MRI scans

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

    Author : Tim Jonsson; Isabella Tapper; [2020]
    Keywords : ;

    Abstract : Computer-aided-diagnosis (CAD) emerged in the early 1950s and since then CAD has facilitated the diagnosing of many medical conditions and diseases. In particular, CADfor Alzheimer’s disease (AD) has been immensely researched the last decade thanks to advanced neuroimaging techniques such as magnetic resonance imaging (MRI) and positron emission tomography (PET). READ MORE