Essays about: "training load"

Showing result 21 - 25 of 98 essays containing the words training load.

  1. 21. Implementation of Machine Learning for Classification of Flight Simulation Data

    University essay from KTH/Lättkonstruktioner, marina system, flyg- och rymdteknik, rörelsemekanik

    Author : Karl Persson; William Josefsson Rudberg; [2022]
    Keywords : Machine learning; Classification; Flight mechanics; Flight simulations; FCAS; Gripen; Maskininlärning; Klassificering; Flygmekanik; Flygsimuleringar; FCAS; Gripen;

    Abstract : The main objective of this thesis project is to explore the possibility of using machine learning as a way of categorizing flight simulation outcomes. If such a possibility exists, the process of analyzing whether a new configuration stays within given boundaries can be streamlined. READ MORE

  3. 22. Selection Intent Prediction in Online Virtual Environments : A Comparison Study

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

    Author : Charles-Eole Marichal; [2022]
    Keywords : HCI; XR; Selection; Prediction; Online virtual environments; MDI; XR; Urval; Förutsägelse; Virtuella online-miljöer;

    Abstract : In this work, we address the problem of the selection of 3D objects based on the user’s intent to interact with them in online virtual environments, both on desktop and VR devices. In addition to the traditional ray-casting technique, we select four promising techniques from the literature using time-dependent volumetric scoring (IntenSelect), trajectory prediction (KEP), Kalman filters enhancement (KalmanKEP) and machine learning with decision trees (MTP). READ MORE

  4. 23. Deep Multiple Description Coding for Semantic Communication : Theory and Practice

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

    Author : Martin Lindström; [2022]
    Keywords : Deep Learning; Split Computing; Multiple Description Coding; Semantic Communication; Internet of Things; Image Classification; Djupinlärning; distribuerade beräkningar; distribuerad kodning; semantisk kommunikation; sakernas internet; Internet of Things; bildklassificering;

    Abstract : With the era of wirelessly connected Internet of Things (IoT) devices on the horizon, eective data processing algorithms for IoT devices are of increasing importance. IoT devices often have limited power and computational resources, making data processing on the device unfeasible. READ MORE

  5. 24. Utilizing Hybrid Ensemble Prediction Model In Order to Predict Energy Demand in Sweden : A Machine-Learning Approach

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

    Author : Binxin Su; [2022]
    Keywords : Energy Demand Prediction; Machine Learning; Hybrid Model; Ensemble Model; Random Forest; XGBoost; CatBoost; Prognos av Energiefterfrågan; Maskininlärning; Hybridmodell; Ensemblemodell; Random Forest; XGBoost; CatBoost;

    Abstract : Conventional machine learning (ML) models and algorithms are constantly advancing at a fast pace. Most of this development are due to the implementation of hybrid- and ensemble techniques that are powerful tools to complement and empower the efficiency of the algorithms. READ MORE

  6. 25. Multivariate Short-term Electricity Load Forecasting with Deep Learning and exogenous covariates

    University essay from Umeå universitet/Institutionen för tillämpad fysik och elektronik

    Author : Nordström Oscar; [2021]
    Keywords : Machine learning; Time series; Deep learning; Forecasting; Short-term electricity load forecasting; Artificial Neural Network;

    Abstract : Maintaining the electricity balance between supply and demand is a challenge for electricity suppliers. If there is an under or overproduction, it entails financial costs and affects consumers and the climate. To better understand how to maintain the balance, can the suppliers use short-term forecasts of electricity load. READ MORE