Essays about: "Field data"
Showing result 6 - 10 of 5491 essays containing the words Field data.
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6. Station-level demand prediction in bike-sharing systems through machine learning and deep learning methods
University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapAbstract : Public Bike-Sharing systems have been employed in many cities around the globe. Shared bikes are an efficient and convenient means of transportation in advanced societies. Nonetheless, station planning and local bike-sharing network effectiveness can be challenging. READ MORE
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7. Decay Chains of Fast Alpha Emitters in the Actinide Region
University essay from Lunds universitet/Fysiska institutionen; Lunds universitet/Partikel- och kärnfysikAbstract : With the advent of increasingly advanced spectroscopic instruments after the turn of the century, it has become accessible to unravel the structure of instantly ‘vanishing’ nuclei, with lifetimes as short as 1 μs, and responsible for pile-up events in analog electronics. Experimental data has been recorded by the Nuclear Structure Group at Lund University for 48Ca/50Ti + nat. READ MORE
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8. Assessing the Effectiveness of Urban Trees with Skeletal Soils in Flood Risk Mitigation
University essay from KTH/Hållbar utveckling, miljövetenskap och teknikAbstract : With increased urbanization and climate change, heavy rainfall events and urban floods are becoming more frequent. To meet the demands for effective climate adaptation strategies and mitigation measures, Nature-Based Solutions (NBS) have received increased attention. READ MORE
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9. Assessing water balance and yields in Malawian cropping systems : maize soybean and maize Gliricidia systems resilience against climate change
University essay from SLU/Dept. of Soil and EnvironmentAbstract : In Malawi, maize monocultures are increasingly susceptible to extreme weather patterns, causing considerable yield reduction and heightened food insecurity for smallholder farmers dependent on rainfed subsistence agriculture. Diversifying cropping systems is crucial for ensuring yield resilience. READ MORE
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10. 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 ekosystemvetenskapAbstract : 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