Sökning: "SIMPLE algorithm"

Visar resultat 1 - 5 av 510 uppsatser innehållade orden SIMPLE algorithm.

  1. 1. A space-time shape for easier spatiotemporal visualization in traffic networks

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för systemteknik

    Författare :David Smeds; [2024]
    Nyckelord :;

    Sammanfattning : Modern big data systems are enabling new possibilities that never were thought possible in the past. The ability to gather massive data on an individual level has made fields like space-time geography bloom in the latest decennia. The usage of shapes in a 3D space allows us to visualize certain phenomena over time. LÄS MER

  3. 2. Biodiversity Monitoring Using Machine Learning for Animal Detection and Tracking

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

    Författare :Qian Zhou; [2023]
    Nyckelord :Small Target Detection; Target Tracking; YOLOv5; DeepSORT; Attention Mechanism; Loss Function; Feature Extraction and Fusion Network; Detektering Av små sål; sålspårning; YOLOv5; DeepSORT; uppmärksamhetsmekanism; förlustfunktion; fusionsnätverk;

    Sammanfattning : As an important indicator of biodiversity and ecological environment in a region, the number and distribution of animals has been given more and more attention by agencies such as nature reserves, wetland parks, and animal protection supervision departments. To protect biodiversity, we need to be able to detect and track the movement of animals to understand which animals are visiting the space. LÄS MER

  4. 3. Multi-Agent Deep Reinforcement Learning in Warehouse Environments

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

    Författare :John Cao; Mikael Hammarling; [2023]
    Nyckelord :;

    Sammanfattning : 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. LÄS MER

  5. 4. A Markovian Approach to Financial Market Forecasting

    Kandidat-uppsats, KTH/Matematisk statistik

    Författare :Kevin Sun Wang; William Borin; [2023]
    Nyckelord :Markov chain; Markov model; stock market prediction; Laplace smoothing; steady-state; forecasting; trading strategy; stochastic; trading algorithm; Markovkedjor; Markovmodell; prediktion; Laplace-jämning; stationär fördelning; tradingstrategi; stokastisk; trading algoritm;

    Sammanfattning : This thesis aims to investigate the feasibility of using a Markovian approach toforecast short-term stock market movements. To assist traders in making soundtrading decisions, this study proposes a Markovian model using a selection ofthe latest closing prices. LÄS MER

  7. 5. Predicting Cryptocurrency Prices with Machine Learning Algorithms: A Comparative Analysis

    Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Harsha Nanda Gudavalli; Khetan Venkata Ratnam Kancherla; [2023]
    Nyckelord :Bitcoin; Cryptocurrency; Machine Learning;

    Sammanfattning : Background: Due to its decentralized nature and opportunity for substantial gains, cryptocurrency has become a popular investment opportunity. However, the highly unpredictable and volatile nature of the cryptocurrency market poses a challenge for investors looking to predict price movements and make profitable investments. LÄS MER