Essays about: "Deep Learnings"

Showing result 1 - 5 of 9 essays containing the words Deep Learnings.

  1. 1. Data Harvesting and Path Planning in UAV-aided Internet-of-Things Wireless Networks with Reinforcement Learning : KTH Thesis Report

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

    Author : Yuming Zhang; [2023]
    Keywords : Unmanned aerial vehicle; the Internet of Things; data harvesting; obstacle avoidance; path planning; deep reinforcement learning; Obemannat luftfordon; sakernas internet; datainsamling; undvikande av hinder; vägplanering; djup förstärkningsinlärning;

    Abstract : In recent years, Unmanned aerial vehicles (UAVs) have developed rapidly due to advances in aerospace technology, and wireless communication systems. As a result of their versatility, cost-effectiveness, and flexibility of deployment, UAVs have been developed to accomplish a variety of large and complex tasks without terrain restrictions, such as battlefield operations, search and rescue under disaster conditions, monitoring, etc. READ MORE

  3. 2. Evaluating information content of earnings calls to predict bankruptcy using machine learnings techniques

    University essay from Högskolan Dalarna/Institutionen för information och teknik

    Author : Arooba Ghaffar; [2022]
    Keywords : Bankruptcy prediction; Earnings Calls; Machine Learnings; Deep Learnings; Corporate failures; Web Scraping; Financial Data; Extracted Data;

    Abstract : This study investigates the prediction of firms’ health in terms of bankruptcy and non-bankruptcy based on the sentiments extracted from the earnings calls. Bankruptcy prediction has long been a critical topic in the world of accounting and finance. READ MORE

  4. 3. A Systematic Literature Review on Meta Learning for Predictive Maintenance in Industry 4.0

    University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

    Author : Ahmet Fisenkci; [2022]
    Keywords : Meta-learning; Few-Shot; Predictive Maintenance; Industry 4.0; Fault detection; Fault Prognostics; Fault Diagnosis;

    Abstract : Recent refinements in Industry 4.0 and Machine Learning demonstrate the positive effects of using deep learning models for intelligent maintenance. The primary benefit of Deep Learning (DL) is its capability to extract attributes and make fast, accurate, and automated predictions without supervision. READ MORE

  5. 4. Digital Co-production for Users Through Feedback Loops : A descriptive and applied study in the digital automation industry

    University essay from Mälardalens högskola/Akademin för innovation, design och teknik

    Author : Frida Antonsson; [2021]
    Keywords : Co-production; Feedback loop; Lessons learned; Personas; Cross-function; digital processes;

    Abstract : A feedback loop is a method used to collect, store and handle provided feedback. It also includes methods for working with lessons learned since learnings are seen as the backbone of feedback loops, since they cannot be successful without learnings. READ MORE

  6. 5. Scene analysis using Tensorflow & YOLO algorithms on Raspberry pi 4

    University essay from Högskolan i Halmstad/Akademin för informationsteknologi

    Author : Nivethan Marmayohan; Abdirahman Farah; [2021]
    Keywords : ;

    Abstract : Objektdetektion är en av de viktigaste mjukvarukomponenterna i nästa generation trafikövervakning. Deep learnings-algoritmer för objektdetektion, exempelvis YOLO (You Only Look Once), är snabba och noggranna algoritmer i realtid. Realtidsdetektion och igenkänning av objekt är viktiga uppgifter för bildbehandling. READ MORE