Sökning: "precision prediction"

Visar resultat 6 - 10 av 99 avhandlingar innehållade orden precision prediction.

1. 6. Machine learning methods for precision medicine

   Författare :Pablo Gonzalez Ginestet; Karolinska Institutet; Karolinska Institutet; []
   Nyckelord :;

   Sammanfattning : In precision medicine, predicting the risk of an event during a specific period may help, for example, to identify patients that need early preventive treatment. Modern machine learning (ML) techniques are therefore ideal for building these predictions. LÄS MER

3. 7. Flood Prediction in data-scarce basins : Maximising the value of limited hydro-meteorological data

   Författare :José Eduardo Reynolds Puga; Sven Halldin; Chong-Yu Xu; Jan Seibert; Thomas J. Grabs; Vazken Andréassian; Uppsala universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Floods; data scarcity; value of information; rainfall-runoff modelling; regionalisation; rainfall-forecasts; event-based calibration; climatological day; discharge day; temporal resolution; modelling time-step.; Databrist; flödestoppsbaserad kalibrering; högflöde; informationsvärde; klimatologiskt dygn; nederbörds-avrinningsmodell; modelltidssteg; regionalisering; regnprognos; tids-upplösning; vattenföringsdygn; översvämning.; Inundaciones; falta de datos; valor de información; modelos lluvia escorrentía; regionalización; pronósticos de lluvia; definición del día; resolución temporal; paso de tiempo.;

   Sammanfattning : Floods pose a threat to society that can cause large socio-economic damages and loss of life in many parts of the world. Flood-forecasting models are required to provide simulations at temporal resolutions higher than a day in basins with concentration times smaller than 24 h. LÄS MER

4. 8. Preventing Cardiovascular Disease. Complementary precision medicine

   Författare :Martiné Wlosinska; Thoraxkirurgi; []
   Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Aged garlic extract; CAC; Placebo-controlled; Double-blinded; Blood pressure; Data science; Predictive models;

   Sammanfattning : AbstractBackground: Non-communicable diseases are the number one killer worldwide and the leading one,cardiovascular disease (CVD), is responsible for more than 30% of all deaths. CVD is a progressive disease whichalso makes it economical, easy and effective to prevent. LÄS MER

5. 9. Data driven crop disease modeling

   Författare :Priyamvada Shankar; Marcus Liwicki; Foteini Liwicki; Lili Jiang; Luleå tekniska universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; LANTBRUKSVETENSKAPER; AGRICULTURAL SCIENCES; Crop Disease Prediction; Precision Agriculture; Digital Farming; Artificial Intelligence; Machine learning; Maskininlärning; Machine Learning;

   Sammanfattning : The concept of precision farming deals with the creation and use of data from machinery and sensors on and off the field to optimize resources and sustainably intensify food production to keep up with increasing demand. However, in the face of a growing amount of data being collected, smarter data processing and analysis techniques are needed and have prompted the evaluation and incorporation of artificial intelligence (AI) and machine learning (ML) techniques for multiple use cases right from seeding to harvesting. LÄS MER

7. 10. A ground-borne noise prediction model for railway traffic in tunnels in bedrock

   Författare :Fatemeh Dashti; Chalmers tekniska högskola; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Railway tunnel induced vibration; Ground-borne noise and vibration; Wave propagation in bedrock; Prediction of noise.;

   Sammanfattning : Human life has become more manageable by the expansion of railway lines. However, despite providing convenience, railways increase noise and vibration in residential areas. Vibrations and noise generated by railways may harm human health, cause cosmetic damage and have an adverse impact on the environment. LÄS MER