Sökning: "Machine Learnings"

Hittade 4 uppsatser innehållade orden Machine Learnings.

  1. 1. Methods for data and user efficient annotation for multi-label topic classification

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Agnieszka Miszkurka; [2022]
    Nyckelord :Natural Language Processing; Multi-label text classification; Active Learning; Zero-shot learning; Data Augmentation; Data-centric AI; Naturlig språkbehandling; Textklassificering med multipla klasser; Active Learning; Zero-shot learning; Data Augmentation; Datacentrerad AI;

    Sammanfattning : Machine Learning models trained using supervised learning can achieve great results when a sufficient amount of labeled data is used. However, the annotation process is a costly and time-consuming task. There are many methods devised to make the annotation pipeline more user and data efficient. LÄS MER

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

    Magister-uppsats, Högskolan Dalarna/Institutionen för information och teknik

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

    Sammanfattning : 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. LÄS MER

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

    Kandidat-uppsats, Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

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

    Sammanfattning : 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. LÄS MER

  5. 4. Visual Communication Console : Sharing Safety-Critical Information between Heavy Vehicles and Vulnerable Road Users

    Uppsats för yrkesexamina på avancerad nivå, Blekinge Tekniska Högskola/Institutionen för maskinteknik

    Författare :Dastan Gomli; Erik Lindström; [2019]
    Nyckelord :Visual Communication; Communication Platform; Heavy Vehicles; Machine Vision; Traffic Safety;

    Sammanfattning : Background. Over the years, between 2013 and 2017, accidents between HeavyGoods Vehicles and Pedestrians have come to increase. Leading causes stem frominattentiveness and lack of communication between driver and pedestrians. LÄS MER