Sökning: "The deep web"

Visar resultat 11 - 15 av 75 uppsatser innehållade orden The deep web.

  1. 11. Using Quantization and Serialization to Improve AI Super-Resolution Inference Time on Cloud Platform

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

    Författare :Wai-Hong Anton Fu; [2023]
    Nyckelord :;

    Sammanfattning : AI Super-Resolution is a branch of Artificial Intelligence where the goal is to take a low-resolution image and upscale it into a high-resolution image. These models are usually deep learning models based on Convolutional Neural Networks (CNN) and/or transformers. LÄS MER

  2. 12. Integrering av Deep Learning i webbapplikation

    Uppsats för yrkesexamina på grundnivå, Högskolan i Gävle/Datavetenskap

    Författare :Christian Bergqvist; Fredrik Olsson; [2022]
    Nyckelord :System integration; Deep Learning; Artificial Intelligence; Web application; System integrering; Deep Learning; Artficiell intelligens; Webbapplikation;

    Sammanfattning : This work examines how Deep Learning(DL) are integrated with a specific web application. It is performed by creating various artifacts that examine the integration of a specific web application with DL. This is done with regards to future expansion of functionality and the value it offers to the stakeholders. LÄS MER

  3. 13. 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. 14. Analysing recommended content provided by YouTube and users preferences : A Case Study at Dalarna University in Sweden

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

    Författare :Omar Ahmed; Philip Kelli; [2022]
    Nyckelord :;

    Sammanfattning : The application YouTube released in 2005 is today known as the most prominent platform on the world wide web for sharing, creating, and discovering video content(s). By utilizing technology trends such as Machine learning, YouTube can take advantage of algorithms such as deep neural networks to entice the users with a massive amount of personalized recommended content(s)t to watch based on the user's data. LÄS MER

  5. 15. Cooperative security log analysis using machine learning : Analyzing different approaches to log featurization and classification

    Master-uppsats, Linköpings universitet/Databas och informationsteknik

    Författare :Fredrik Malmfors; [2022]
    Nyckelord :Machine learning; word embeddings; deep learning; LSTM; CNN; auto encoder; NLP; natural language processing; intrusion detection; log analysis; logs; log classification; anomaly detection; supervised learning; unsupervised learning;

    Sammanfattning : This thesis evaluates the performance of different machine learning approaches to log classification based on a dataset derived from simulating intrusive behavior towards an enterprise web application. The first experiment consists of performing attacks towards the web app in correlation with the logs to create a labeled dataset. LÄS MER