Results 11 to 20 of about 127,481 (314)

Predictive Modelling and Time: An Experiment in Temporal Archaeological Predictive Models

Internet Archaeology, 2006
One of the most common criticisms of archaeological predictive modelling is that it fails to account for temporal or functional differences in sites. However, a practical solution to temporal or functional predictive modelling has proven to be elusive ...
David Ebert
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Predictive Modelling Approach to Data-Driven Computational Preventive Medicine [PDF]

, 2023
This thesis contributes novel predictive modelling approaches to data-driven computational preventive medicine and offers an alternative framework to statistical analysis in preventive medicine research.
Aldraimli, M.
core   +1 more source

ESTIMATION OF SOLAR RADIATION ON BUILDING ROOFS IN MOUNTAINOUS AREAS [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2013
The aim of this study is estimating solar radiation on building roofs in complex mountain landscape areas. A multi-scale solar radiation estimation methodology is proposed that combines 3D data ranging from regional scale to the architectural one.
G. Agugiaro, F. Remondino, G. Stevanato, R. De Filippi, C. Furlanello   +4 more
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The Role of Excitability and Network Structure in the Emergence of Focal and Generalized Seizures

Frontiers in Neurology, 2020
Epileptic seizures are generally classified as either focal or generalized. It had been traditionally assumed that focal seizures imply localized brain abnormalities, whereas generalized seizures involve widespread brain pathologies.
Marinho A. Lopes, Marinho A. Lopes, Marinho A. Lopes, Marinho A. Lopes, Marinho A. Lopes, Leandro Junges, Leandro Junges, Leandro Junges, Leandro Junges, Leandro Junges, Wessel Woldman, Wessel Woldman, Wessel Woldman, Wessel Woldman, Wessel Woldman, Marc Goodfellow, Marc Goodfellow, Marc Goodfellow, John R. Terry, John R. Terry, John R. Terry, John R. Terry, John R. Terry   +22 more
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Predictive Risk Modelling of Hospital Emergency Readmission, and Temporal Comorbidity Index Modelling Using Machine Learning Methods [PDF]

, 2017
This thesis considers applications of machine learning techniques in hospital emergency readmission and comorbidity risk problems, using healthcare administrative data. The aim is to introduce generic and robust solution approaches that can be applied to
Mesgarpour, M.
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Gaussian process model based predictive control [PDF]

, 2003
Gaussian process models provide a probabilistic non-parametric modelling approach for black-box identification of non-linear dynamic systems. The Gaussian processes can highlight areas of the input space where prediction quality is poor, due to the lack ...
Kocijan, J., R. Murray-Smith, C.E. Rasmussen, Rasmussen, C., ,, Carl Edward Rasmussen, Rasmussen, C.E., Agathe Girard, Juš Kocijan, Girard, A., Rasmussen, CE, A. Girard, Murray-Smith, R., Kocijan, J, Roderick Murray-Smith, J. Kocijan, Girard, A, Murray Smith, R   +17 more
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Prediction models in urology [PDF]

Nature Clinical Practice Urology, 2007
Predicting risk is an inherent feature of clinical practice. How likely is a man with a given PSA level to have prostate cancer? Can lymph node dissection be safely avoided in a patient with testicular cancer? Should chemotherapy be given after cystectomy for bladder cancer?
openaire   +2 more sources

Modelling: Predictive yield [PDF]

Nature, 2013
Farmers would benefit from better long-range weather forecasts. What else can science provide to help them decide what to plant?
openaire   +2 more sources

A U-Net Deep Learning Framework for High Performance Vessel Segmentation in Patients With Cerebrovascular Disease

Frontiers in Neuroscience, 2019
Brain vessel status is a promising biomarker for better prevention and treatment in cerebrovascular disease. However, classic rule-based vessel segmentation algorithms need to be hand-crafted and are insufficiently validated.
Michelle Livne, Michelle Livne, Jana Rieger, Orhun Utku Aydin, Abdel Aziz Taha, Ela Marie Akay, Tabea Kossen, Tabea Kossen, Jan Sobesky, Jan Sobesky, John D. Kelleher, Kristian Hildebrand, Dietmar Frey, Vince I. Madai, Vince I. Madai   +14 more
doaj   +1 more source

Advances and visions in large-scale hydrological modelling : findings from the 11th Workshop on Large-Scale Hydrological Modelling [PDF]

, 2008
Large-scale hydrological modelling has become increasingly wide-spread during the last decade. An annual workshop series on large-scale hydrological modelling has provided, since 1997, a forum to the German-speaking community for discussing recent ...
K. Berkhoff, P. Döll, Fohrer, N., Hagemann, S., Krol, Martinus S., Fohrer, Nicola, Hagemann, Stefan, M. Krol, H. Bormann, D. Gerten, Bormann, H., Berkhoff, Karin, Bormann, Helge, S. Hagemann, Gerten, Dieter, Gerten, D., N. Fohrer, Krol, M., Döll, P., Döll, Petra, Krol, Maarten, Berkhoff, K.   +21 more
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