Essays about: "klassificeringssystem"
Showing result 1 - 5 of 25 essays containing the word klassificeringssystem.
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1. Data Classification System Based on Combination Optimized Decision Tree : A Study on Missing Data Handling, Rough Set Reduction, and FAVC Set Integration
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Data classification is a novel data analysis technique that involves extracting valuable information with potential utility from databases. It has found extensive applications in various domains, including finance, insurance, government, education, transportation, and defense. READ MORE
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2. Samband mellan föryngrings-resultatet år 5 och kvalitets-klassning av markberedning och planteringsåtgärder på SCA:s fasta provytor i norra Sverige
University essay from SLU/Dept. of Forest Ecology and ManagementAbstract : De enskilt viktigaste skogliga åtgärderna i dagens skogsbruk sker under ungskogsfasen. Det är i ungskogsfasen grunden för det framtida be-ståndets struktur och ekonomiska avkastning läggs, men även land-skapsstrukturen i helhet. READ MORE
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3. A Green New World : How the Real Estate Sector is Working with Sustainable Financing in Regard to the EU Taxonomy
University essay from KTH/Fastigheter och byggandeAbstract : The EU Taxonomy is a new regulation produced to set a European standard for sustainable investments and to allocate capital for a sustainable transition. The Taxonomy aims to regulate several sectors, one of which is the real estate sector. READ MORE
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4. A General Approach to Inaudible Adversarial Perturbations in a Black-box Setting
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Deep learning is currently being deployed in many speech recognition systems. While these systems can achieve state-of-the-art performance, they are known to be susceptible to adversarial perturbations. These are minor perturbations to the input data, crafted specifically to cause erroneous behavior from the system. READ MORE
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5. Deep Learning for Earth Observation: improvement of classification methods for land cover mapping : Semantic segmentation of satellite image time series
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Satellite Image Time Series (SITS) are becoming available at high spatial, spectral and temporal resolutions across the globe by the latest remote sensing sensors. These series of images can be highly valuable when exploited by classification systems to produce frequently updated and accurate land cover maps. READ MORE