Essays about: "Surface Classification"

Showing result 1 - 5 of 114 essays containing the words Surface Classification.

  1. 1. Land cover classification using machine-learning techniques applied to fused multi-modal satellite imagery and time series data

    University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Author : Anastasia Sarelli; [2024]
    Keywords : Geography; GIS; Land Cover Classification; Landsat; Machine Learning; Earth and Environmental Sciences;

    Abstract : Land cover classification is one of the most studied topics in the field of remote sensing, involving the use of data from satellite sensors to analyze and categorize different land surface types. There are numerous satellite products available, each offering different spatial, spectral, and temporal resolutions. READ MORE

  3. 2. Physical Exercise and Fatigue Detection using Machine Learning

    University essay from Högskolan i Halmstad/Akademin för informationsteknologi

    Author : Filip Säterberg; Rasmus Nilsson; [2024]
    Keywords : Machine Learning; Fatigue Prediction; Data Collection; Supervised learning; Surface Electromyography; Accelerometers; Maskininlärning; Trötthetsförutsägelse; Datainsamling; Övervakad; Ytlig-elektromyografi Accelerometrar;

    Abstract : Monitoring of physical exercise is an important task to evaluate and adapt exercise to provide better exercise results. The Inno-X™ device, developed by Innowearable, is a device that can be used for such monitoring. It collects data using an accelerometer and sEMG sensor. READ MORE

  4. 3. Decoding the surface code using graph neural networks

    University essay from Göteborgs universitet / Institutionen för fysik

    Author : Moritz Lange; [2023-10-17]
    Keywords : ;

    Abstract : Quantum error correction is essential to achieve fault-tolerant quantum computation in the presence of noisy qubits. Among the most promising approaches to quantum error correction is the surface code, thanks to a scalable two-dimensional architecture, only nearest-neighbor interactions, and a high error threshold. Decoding the surface code, i.e. READ MORE

  5. 4. Anticipating Glacier Lake Outburst Floods (GLOFs): an impact-based forecasting framework for managing GLOF risks in Nepal.

    University essay from Lunds universitet/Avdelningen för Riskhantering och Samhällssäkerhet

    Author : Grace Muir; [2023]
    Keywords : Anticipatory Action; Impact-based Forecasting; Glacier Lake Outburst Flood; Nepal; Risk-informed Early Action; Prediction; Disaster Risk Management; Science General;

    Abstract : Glacier lake outburst floods (GLOFs) are an increasingly documented threat across the Himalayan region, wherein Nepal is situated. GLOFs involve a rapid discharge of water from a lake situated at the side, front, within, beneath, or on the surface of a glacier. READ MORE

  6. 5. GIS and remote sensing based mapping of microtopography and vegetation composition in a boreal mire complex

    University essay from SLU/Dept. of Forest Ecology and Management

    Author : Nils Helge Havertz; [2023]
    Keywords : Microtopography modelling; Remote sensing; Boreal mixed mires; Object Based Image Analysis OBIA ; random forest RF ;

    Abstract : Small scale variations in mire surface elevation referred to as microtopography are fundamental characteristics of mire ecosystems especially in the boreal region. Microtopography commonly classified into hummocks and hollows play a major role in several ecological, hydrological and biogeochemical processes including vegetation composition and carbon and methane dynamics. READ MORE