Essays about: "error matrix"

Showing result 1 - 5 of 51 essays containing the words error matrix.

  1. 1. Implementation of a Block Krylov Algorithm in Variational Data Assimilation

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

    Author : Clémentine Gas; [2019]
    Keywords : ;

    Abstract : Numerical weather prediction relies on two major components: sophisticated atmospheric forecast models and equally important data assimilation algorithms. Data assimilation (DA) is the process used to produce the best estimate of the state of a model, using an Earth system numerical model and observations. READ MORE

  2. 2. Application of machine learning in 5G to extract prior knowledge of the underlying structure in the interference channel matrices

    University essay from KTH/Matematisk statistik

    Author : Danilo Peng; [2019]
    Keywords : Machine learning; 5G; interference channel; blind source estimation; MIMO; OFDM; bandwidth prediction; support vector machines; artificial neural network.; Maskininlärning; 5G; interferencekanal; stödvektormaskin; neurala nätverk; brandbedd estimering;

    Abstract : The data traffic has been growing drastic over the past few years due to digitization and new technologies that are introduced to the market, such as autonomous cars. In order to meet this demand, the MIMO-OFDM system is used in the fifth generation wireless network, 5G. READ MORE

  3. 3. A Comparative Analysis of RNN and SVM : Electricity Price Forecasting in Energy Management Systems

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

    Author : Lee Badal; Sebastian Franzén; [2019]
    Keywords : ;

    Abstract : A trend in increasing electricity consumption and technological innovation has resulted in automated energy management systems. Forecasting movement of the electricity price with machine learning plays a role in the sustainability of these systems. READ MORE

  4. 4. Optimizing Bike Sharing System Flows using Graph Mining, Convolutional and Recurrent Neural Networks

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

    Author : Davor Ljubenkov; [2019]
    Keywords : Data Science; Data Visualization; Bike-Sharing Systems; Graph Mining; Time Series Prediction; Machine Learning; Deep Learning; Recurrent Neural networks; Convolutional Neural Networks; Shareable Cities; Urban Informatics;

    Abstract : A Bicycle-sharing system (BSS) is a popular service scheme deployed in cities of different sizes around the world. Although docked bike systems are its most popular model used, it still experiences a number of weaknesses that could be optimized by investigating bike sharing network properties and evolution of obtained patterns. READ MORE

  5. 5. Evaluation of Target Tracking Using Multiple Sensors and Non-Causal Algorithms

    University essay from Linköpings universitet/Reglerteknik; Linköpings universitet/Reglerteknik

    Author : Albin Vestin; Gustav Strandberg; [2019]
    Keywords : evaluation; target tracking; multiple sensors; non-causal; smoother; smoothing; tracking; vehicle tracking; camera; lidar; estimate; estimation; prediction; vehicle dynamics; sensor fusion; real-time tracking; extended kalman filter; filter validation; validation; position estimation; velocity estimation; dynamic model; model complexity; multi object tracking; multiple object; tracking; single object tracking; data association; tracking fundamentals; iterated kalman filter; track management; gnn; global nearest neighbour; mahalanobis; mahalanobis distance; performance evaluation; differential gps; dgps; roi; ego; several sensors; sensors; rmse; root mean square error; invertible motion; anti-causal motion; anti-causal tracking; constant velocity; gnn; imu; tfs; two filter smoother; ekf; rts; radar; inertial measurement unit; nonlinear; nonlinear systems; mono camera; monocular camera; noise model; tracking performance; fixed interval smoothing; m n logic; centralized fusion; non-causal object tracker; car tracking; car dynamics; automotive; active safety; object tracking; automotive industry; thesis; master; reverse dynamics; reverse tracking; reverse sequence; sequence tracking; data propagation; ground truth; estimating ground truth; additional sensors; mounted sensors; true estimates; environment; comparison; algorithm; independent targets; overlapping; measurements; occluded; track switch; improve; lower; uncertainty; more; certain; state; process; noise; covariance; sampling; image; sprt; adas; cnn; cv; pdf; track; target; ego; tracker; tentative track; observatiom; online tracking; offline tracking; online; offline; recorded; sequences; robust; self driving; self-driving; car; traffic; trajectory; true state; scenario; scenarios; future; accurate; output; advanced; driver; assistance; systems; non-linear; complex noise; pedestrian; truck; bus; maneuvering; vehicles; processed; measurement; frame; state; correction; probability; density; function; tuning; likelihood; transition; measurement; motion; model; recursion; gaussian; approximation; distribution; linear; jacobian; multiplicative; noise; ratio; ad; hoc; ad hoc; state; space; approach; backward; auction; euclidean; distance; statistical; threshold; gating; association; margin; normalize; covariance; matrix; fusion; confirmed; rejected; tentative; history; absolute; error; modular; ego motion; parameters; variables; logg; hardware; specification; fused; causal; factorization; independent; uncorrelated; transform; moving; rotation; translation; oncoming; overtaking;

    Abstract : Today, the main research field for the automotive industry is to find solutions for active safety. In order to perceive the surrounding environment, tracking nearby traffic objects plays an important role. READ MORE