Essays about: "Ou..."

Showing result 6 - 10 of 63 essays containing the word Ou....

  1. 6. Hybrid Deep Learning Model for Cellular Network Traffic Prediction : Case Study using Telecom Time Series Data, Satellite Imagery, and Weather Data

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

    Author : Ali Shibli; [2022]
    Keywords : Cellular network traffic; multi-modal; satellite imagery; weather data; LSTM; CNN; time series; Trafic sur les réseaux cellulaires; multimodal; imagerie satellite; données météo; LSTM; CNN; séries temporelles; Förutsägelse av mobilnätstrafik; multimodal modell; satellitbilder; väderdata; LSTM; CNN; tidsseriein;

    Abstract : Cellular network traffic prediction is a critical challenge for communication providers, which is important for use cases such as traffic steering and base station resources management. Traditional prediction methods mostly rely on historical time-series data to predict traffic load, which often fail to model the real world and capture surrounding environment conditions. READ MORE

  3. 7. Object classification in the simulation environment using ultrasonic sensor arrays

    University essay from Umeå universitet/Institutionen för datavetenskap

    Author : Haoyun Ou; [2022]
    Keywords : Master Thesis; Object Classification; Machine Learning; Ultrasonic; Sensor; Simulation;

    Abstract : With the wide application of machine learning technologies in advanced driver assistance systems of vehicles, object classification on obstacles has attracted much attention. Ultrasonic sensors are mainly used to measure the distance to obstacles under the condition of low-speed movement. READ MORE

  4. 8. Is the Federal Reserve Causing Funds to Underperform? A causal machine learning analysis

    University essay from Lunds universitet/Statistiska institutionen; Lunds universitet/Nationalekonomiska institutionen

    Author : Willian Trindade Leite; Oliver Serenhov; [2022]
    Keywords : Causal inference; actively managed funds; passively managed funds; gradient boosting; double machine learning; Business and Economics;

    Abstract : Macroeconomic conditions heavily influence financial markets, and the leading corpus of theory in the field lays out some general principles observed by investors and asset managers alike. However, while the theory is sound, it is hard to measure how much effect these conditions have. READ MORE

  5. 9. Approximating Quasistationary Distributions Using Deep Learning

    University essay from KTH/Matematisk statistik

    Author : Björn Wehlin; [2022]
    Keywords : Applied Mathematics; Deep Learning; Probability Theory; Stochastic Processes; Ito Diffusions; Quasistationary Distributions; Tillämpad matematik; djupinlärning; sannolikhetsteori; stokastiska processer; Ito-diffusioner; kvasistationära fördelningar;

    Abstract : We study a class of It\={o} diffusion processes on domains with smooth boundary, at which the process is killed. Such a process, when conditioned on non-extinction, gives rise to a stationary state known as a \emph{quasistationary distribution} (QSD). READ MORE

  6. 10. Finding duplicate offers in the online marketplace catalogue using transformer based methods : An exploration of transformer based methods for the task of entity resolution

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

    Author : Robert-Andrei Damian; [2022]
    Keywords : Transformers; Language Models; Deep Neural Networks; Entity Resolution; Duplicate Detection; Entity Matching; Record Linkage; Contrastive Learning; e-commerce; Transformers; Modèles de langage; Apprentisage en profondeur; Résolution d’entité; Détection de doublons; Apprentisage contrastif; commerce électronique; Transformers; Språkmodeller; Djupinlärning; Entitetserkännande; Dubblettdetektering; Entitetsmatchning; Rekordkoppling; e-handel;

    Abstract : The amount of data available on the web is constantly growing, and e-commerce websites are no exception. Considering the abundance of available information, finding offers for the same product in the catalogue of different retailers represents a challenge. This problem is an interesting one and addresses the needs of multiple actors. READ MORE