Essays about: "bayesian optimization"

Showing result 6 - 10 of 73 essays containing the words bayesian optimization.

  1. 6. Tracking Optimization in Agrivoltaic Systems : A Comparative Study for Apple Orchards

    University essay from KTH/Skolan för industriell teknik och management (ITM)

    Author : Maddalena Bruno; [2023]
    Keywords : Agrivoltaics; Optimization; Light sharing; Apple Orchards; Lantbruk; Optimering; Ljusdelning; Äppelodlingar;

    Abstract : Agrivoltaic (APV) systems, based on the co-location of solar panels and crops, are an innovative solution to land-use conflicts that often arise between agriculture and energy production. Their optimal functioning starts with efficient management and sharing of light between solar panels and underlying plants. READ MORE

  3. 7. Evaluation of machine learning models for classifying malicious URLs

    University essay from Högskolan i Gävle/Datavetenskap

    Author : Shayan Abad; Hassan Gholamy; [2023]
    Keywords : Machine learning; Cyber security; Classification; Malicious URL; Instance selection;

    Abstract : Millions of new websites are created daily, making it challenging to determine which ones are safe. Cybersecurity involves protecting companies and users from cyberattacks. Cybercriminals exploit various methods, including phishing attacks, to trick users into revealing sensitive information. READ MORE

  4. 8. Latency Prediction in 5G Networks by using Machine Learning

    University essay from Lunds universitet/Institutionen för reglerteknik

    Author : Erica Elgcrona; Evrim Mete; [2023]
    Keywords : Technology and Engineering;

    Abstract : This thesis presents a report of predicting latency in a 5G network by using deep learning techniques. The training set contained data of network parameters along with the actual latency, collected in a 5G lab environment during four different test scenarios. READ MORE

  5. 9. Auto-Tuning Apache Spark Parameters for Processing Large Datasets

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

    Author : Shidi Zhou; [2023]
    Keywords : Apache Spark; Cloud Environment; Spark Configuration Parameter; Resource Utilization; Ridge Regression; Elastic Net; Random Forest; Deep Neural Network; Bayesian Optimization; Particle Swarm Optimization.; Apache Spark; Molnmiljö; Apache Spark konfigurationsparameter; Resursutnyttjande; Ridge-regression; Elastisk nät; Slumpskog; Djupt neuralt nätverk; Bayesiansk optimering; Partikelsvärmsoptimering.;

    Abstract : Apache Spark is a popular open-source distributed processing framework that enables efficient processing of large amounts of data. Apache Spark has a large number of configuration parameters that are strongly related to performance. Selecting an optimal configuration for Apache Spark application deployed in a cloud environment is a complex task. READ MORE

  6. 10. Maximizing the performance of point cloud 4D panoptic segmentation using AutoML technique

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

    Author : Teng Ma; [2022]
    Keywords : LiDAR perception; 4D panoptic segmentation; Hyperparameter Optimization; Deep learning; Automated Machine Learning; LiDAR-uppfattning; 4D-panoptisk segmentering; hyperparameteroptimering; djupinlärning; automatiserad maskininlärning;

    Abstract : Environment perception is crucial to autonomous driving. Panoptic segmentation and objects tracking are two challenging tasks, and the combination of both, namely 4D panoptic segmentation draws researchers’ attention recently. READ MORE