Essays about: "Feature Extraction"

Showing result 31 - 35 of 312 essays containing the words Feature Extraction.

  1. 31. Motor Imagery Signal Classification using Adversarial Learning - A Systematic Literature Review

    University essay from Stockholms universitet/Institutionen för data- och systemvetenskap

    Author : Osama Mahmudi; Shubhra Mishra; [2023]
    Keywords : Adversarial Learning; Motor Imagery; BCI; EEG; Machine Learning;

    Abstract : Context: Motor Imagery (MI) signal classification is a crucial task for developing Brain-Computer Interfaces (BCIs) that allow people to control devices using their thoughts. However, traditional machine learning approaches often suffer from limited performance due to inter-subject variability and limited data availability. READ MORE

  3. 32. Analyzing different approaches to Visual SLAM in dynamic environments : A comparative study with focus on strengths and weaknesses

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

    Author : Kristín Sól Ólafsdóttir; [2023]
    Keywords : Visual SLAM; RGB-D Vision; Dynamic Objects; Object Detection; Multi-Object Tracking; Image Segmentation; Optical Flow; Visual SLAM; RGB-D Syn; Dynamiska objekt; Objektdetektering; Multi-Objekt Spårning; Bildsegmentation; Optiskt Flöde;

    Abstract : Simultaneous Localization and Mapping (SLAM) is the crucial ability for many autonomous systems to operate in unknown environments. In recent years SLAM development has focused on achieving robustness regarding the challenges the field still faces e.g. dynamic environments. READ MORE

  4. 33. Selective Kernel Network based Crowding Counting and Crowd Density Estimation

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

    Author : Jinchen Liu; [2023]
    Keywords : Crowding Counting; Convolution Neural Network; Selective kernel; Trängselräkning; konvolutionsneuralnätverk; Selektiv kärna;

    Abstract : Managing crowd density has become an immense challenge for public authorities due to population growth and evolving human dynamics. Crowd counting estimates the number of individuals in a given area or scene, making it a practical technique applicable in real-world scenarios such as surveillance and traffic control. READ MORE

  5. 34. FEATURE EXTRACTION AND CLASSIFICATION OF TRANSIENT FAULT RECORDS

    University essay from Mälardalens universitet/Akademin för innovation, design och teknik

    Author : Emanuel Bjurhager; [2023]
    Keywords : ;

    Abstract : As the power distribution system grows and more sensors are added, more data is created every day. This data can be crucial for finding faults, but there is now so much data that it ends up being unused. This presents a valuable opportunity to gain crucial insights into the continuously expanding and increasingly complex power distribution system. READ MORE

  6. 35. Feature-Aware Point Transformer for Point Cloud Alignment Classification : Pose your pose to FACT

    University essay from Linköpings universitet/Institutionen för systemteknik

    Author : Ludvig Dillén; [2023]
    Keywords : point cloud alignment; point cloud alignment classification; alignment validation; point cloud; map validation; map quality; misalignment recognition; alignment quality; point transformer; Sinkhorn divergence; differential entropy; point cloud co-visibility; point cloud visibility; SLAM; point cloud registration; point cloud density;

    Abstract : As the demand for 3D maps from LIDAR scanners increases, delivering high-quality maps becomes critical. One way to ensure the quality of such maps is through point cloud alignment classification, which aims to classify the alignment error between two registered point clouds. READ MORE