Essays about: "art and value"

Showing result 6 - 10 of 262 essays containing the words art and value.

  1. 6. Optimization of Speed vs. Accuracy Trade-off in State-of-the-Art Object Detectors for Traffic Light Detection

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

    Author : Vikash Lal Dodani; [2023]
    Keywords : Machine Learning; Computer Vision; Traffic Lights Detection; Self-Driving Cars; BOSCH; BSTLD; LISA;

    Abstract : Traffic lights detection systems are an important area of research, aimed towards improving the accuracy and response time of self-driving vehicles when faced with traffic signals. This project attempted to find a solution for the speed-accuracy trade-off faced by traffic light detection systems. READ MORE

  3. 7. A designer-driven approach to procedural generation tools for level design

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

    Author : Max Truedsson; [2023]
    Keywords : Master Thesis; Game development; Game Design; Procedural generation; PCG; Level creation; Art Tool; 3d Environment design; Master Examensarbete; Spelutveckling; Speldesign; Procedurell generering; PCG; Spelbana Konstruktion; Konst verktyg; 3d miljö design;

    Abstract : Game development is a multifaceted field that involves both traditional software practices and creative work. It is characterized by its iterative and time-consuming process where prototypes are created and then evaluated. This is especially true for creating 3D environments, where it is difficult to evaluate the quality before it is completed. READ MORE

  4. 8. Recommending digital books to children : Acomparative study of different state-of-the-art recommendation system techniques

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

    Author : Malvin Lundqvist; [2023]
    Keywords : Recommendation Systems; Collaborative Filtering; Matrix Factorization; Multi-Layer Perceptron; Neural Network-based Collaborative Filtering; Implicit Feedback; Deep Learning; Term Frequency-Inverse Document Frequency; Rekommendationssystem; Kollaborativ filtrering; Matrisfaktorisering; Flerlagersperceptron; Neurala nätverksbaserad kollaborativ filtrering; Implicit data; Djupinlärning; Termfrekvens med omvänd dokumentfrekvens;

    Abstract : Collaborative filtering is a popular technique to use behavior data in the form of user’s interactions with, or ratings of, items in a system to provide personalized recommendations of items to the user. This study compares three different state-of-the-art Recommendation System models that implement this technique, Matrix Factorization, Multi-layer Perceptron and Neural Matrix Factorization, using behavior data from a digital book platform for children. READ MORE

  5. 9. Sustainable Recipe Recommendation System: Evaluating the Performance of GPT Embeddings versus state-of-the-art systems

    University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Author : Jaya Shankar Bandaru; Sai Keerthi Appili; [2023]
    Keywords : Sustainable Recipe Recommendation; Recommendation System; GPT-embeddings; PinSage; Factorization Machines;

    Abstract : Background: The demand for a sustainable lifestyle is increasing due to the need to tackle rapid climate change. One-third of carbon emissions come from the food industry; reducing emissions from this industry is crucial when fighting climate change. READ MORE

  6. 10. Risk Assessment of Digital Assets – Insurance Applications in Cryptocurrencies and NFTs

    University essay from Lunds universitet/Institutionen för elektro- och informationsteknik

    Author : Roberto Delgado Ferrezuelo; [2023]
    Keywords : Blockchain; NFTs; private key; phishing; floor price; rarity; cold wallet; hot wallet; risk premium; Technology and Engineering;

    Abstract : The aim of the project is to develop a framework for an insurance policy for digital assets. The project comprised several stages, starting with the identification of risks associated with these assets. Policyholders were then categorized into two groups based on a predefined rating factor. READ MORE