Essays about: "Computer networks thesis"

Showing result 1 - 5 of 212 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

3. 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

4. 3. Using Attention-based Sequence-to-Sequence Neural Networks for Transcription of Historical Cipher Documents

   University essay from Uppsala universitet/Institutionen för lingvistik och filologi

   Author : Han Renfei; [2020]
   Keywords : ;

   Abstract : Encrypted historical manuscripts (also called ciphers), containing encoded information, provides a useful resource for giving new insight into our history. Transcribing these manuscripts from image format to computer readable format is a necessary step for decrypting them. READ MORE

5. 4. 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

6. 5. 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