Essays about: "Computer networks thesis"

Showing result 1 - 5 of 222 essays containing the words Computer networks thesis.

1. 1. Data Segmentation Using NLP: Gender and Age

   University essay from Uppsala universitet/Avdelningen för datalogi; Uppsala universitet/Avdelningen för datalogi

   Author : Gustav Demmelmaier; Carl Westerberg; [2021]
   Keywords : Natural language processing; NLP; sentiment analysis; machine learning; demographics; demographic factors; gender; age; ethics;

   Abstract : Natural language processing (NLP) opens the possibilities for a computer to read, decipher, and interpret human languages to eventually use it in ways that enable yet further understanding of the interaction and communication between the human and the computer. When appropriate data is available, NLP makes it possible to determine not only the sentiment information of a text but also information about the author behind an online post. READ MORE

3. 2. Unsupervised 3D Human Pose Estimation

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

   Author : Sri Datta Budaraju; [2021]
   Keywords : Computer Vision; Projective Geometry; Deep Learning; Unsupervised Learning; 3D Human Pose Estimation; GAN; AutoEncoder; Hybrid Generative Model; Self Supervision;

   Abstract : The thesis proposes an unsupervised representation learning method to predict 3D human pose from a 2D skeleton via a VAEGAN (Variational Autoencoder Generative Adversarial Network) hybrid network. The method learns to lift poses from 2D to 3D using selfsupervision and adversarial learning techniques. READ MORE

4. 3. Ensembles of Single Image Super-Resolution Generative Adversarial Networks

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

   Author : Victor Castillo Araújo; [2021]
   Keywords : Generative Adversarial Networks; Single Image Super-Resolution; Computer Vision; Convolutional Neural Networks; Ensemble Learning; Generative Adversarial Networks; Superupplösning; Datorseende; Bildanalys; Convolutional neural networks; Ensembler;

   Abstract : Generative Adversarial Networks have been used to obtain state-of-the-art results for low-level computer vision tasks like single image super-resolution, however, they are notoriously difficult to train due to the instability related to the competing minimax framework. Additionally, traditional ensembling mechanisms cannot be effectively applied with these types of networks due to the resources they require at inference time and the complexity of their architectures. READ MORE

5. 4. Detecting Faulty Piles of Wood using Anomaly Detection Techniques

   University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknik

   Author : Jonathan Olsson; [2021]
   Keywords : Machine learning; Deep learning; Anomaly Detection; Convolutional Neural Network; Autoencoder; Generative Adversarial Network; Computer vision;

   Abstract : The forestry and the sawmill industry have a lot of incoming and outgoing piles of wood. It's important to maintain quality and efficiency. This motivates an examination of whether machine learning- or more specifically, anomaly detection techniques can be implemented and used to detect faulty shipments. READ MORE

6. 5. 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