Essays about: "Deep Neural Network"

Showing result 26 - 30 of 885 essays containing the words Deep Neural Network.

  1. 26. Multi-Agent Deep Reinforcement Learning in Warehouse Environments

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

    Author : John Cao; Mikael Hammarling; [2023]
    Keywords : ;

    Abstract : This report presents a deep reinforcement algorithm for multi-agent systems based on the classicalDeep Q-Learning algorithm. The method considers a decentralized approach to controlling theagents, by equipping each agent with its own neural network and replay memory. READ MORE

  3. 27. ISAR Imaging Enhancement Without High-Resolution Ground Truth

    University essay from Linköpings universitet/Datorseende

    Author : Moltas Enåkander; [2023]
    Keywords : SAR; SAR Imaging; ISAR; ISAR Imaging; Machine learning; Convolutional neural network; CNN; neural network; Super resolution; Unsupervised learning;

    Abstract : In synthetic aperture radar (SAR) and inverse synthetic aperture radar (ISAR), an imaging radar emits electromagnetic waves of varying frequencies towards a target and the backscattered waves are collected. By either moving the radar antenna or rotating the target and combining the collected waves, a much longer synthetic aperture can be created. READ MORE

  4. 28. Exploration of using Twitter data to predict Swedish political opinion polls with neural networks

    University essay from Lunds universitet/Matematisk statistik

    Author : Alexander Gren; Klara Lundgren; [2023]
    Keywords : Mathematics and Statistics;

    Abstract : This thesis aims to explore the possibility of using deep learning techniques to mine opinions on Twitter, with the objective to predict the political opinion distribution in Sweden. Different methods of gathering and annotating training data are evaluated to achieve accurate and reliable predictions. READ MORE

  5. 29. Study of evaluation metrics while predicting the yield of lettuce plants in indoor farms using machine learning models

    University essay from Högskolan i Skövde/Institutionen för informationsteknologi

    Author : Divya Chedayan; Harry Geo Fernandez; [2023]
    Keywords : machine learning; lettuce yield prediction; Regression; SVR; RF; DNN; MAE; MSE; RMSE; R-squared; Adjusted R-squared;

    Abstract : A key challenge for maximizing the world’s food supply is crop yield prediction. In this study, three machine models are used to predict the fresh weight (yield) of lettuce plants that are grown inside indoor farms hydroponically using the vertical farming infrastructure, namely, support vector regressor (SVR), random forest regressor (RFR), and deep neural network (DNN). READ MORE

  6. 30. Adaptive Model-Based Temperature Monitoring for Electric Powertrains : Investigation and Comparative Analysis of Transfer Learning Approaches

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

    Author : Chenzhou Huang; [2023]
    Keywords : Transfer Learning; Condition Monitoring; Domain Adaptation; Neural Network; Powerstrain.; Siirto-oppiminen; kunnonvalvonta; verkkotunnuksen mukauttaminen; neuroverkko; voimansiirto.; Överföring lärande; tillståndsövervakning; domänanpassning; neuralt nätverk; Powerstrain;

    Abstract : In recent years, deep learning has been widely used in industry to solve many complex problems such as condition monitoring and fault diagnosis. Powertrain condition monitoring is one of the most vital and complicated problems in the automation industry since the condition of the drive affects its health, performance, and reliability. READ MORE