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The role of machine learning methods in physiological explorations of endurance trained athletes: a mini-review [PDF]
Frontiers in Sports and Active LivingEndurance-trained athletes require physiological explorations that have evolved throughout the history of exercise physiology with technological advances.
Félix Boudry +7 more
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Monitoring individual rice field flooding dynamics over a large scale to improve mosquito surveillance and control [PDF]
Malaria JournalBackground Progress in malaria elimination has been hindered by recent changes in mosquito behaviour and increased insecticide resistance in response to traditional vector control measures, such as indoor residual spraying and long-lasting insecticidal ...
Mauricianot Randriamihaja +8 more
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SMART DATA FOR SMART CITY MORPHOLOGY: THE CASE OF MERIDIA NEIGHBORHOOD IN NICE, FRANCE [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 Nowadays, cities have to withstand multiple challenges such as climate change, increasing urban population, economic cycles, health crises, traffic congestion, rising levels of energy consumption and citizens' expectations.
M. Caglioni, G. Fusco, A. Venerandi
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New Feature Selection Approach for Photovoltaïc Power Forecasting Using KCDE
Energies, 2023 Feature selection helps improve the accuracy and computational time of solar forecasting. However, FS is often passed by or conducted with methods that do not suit the solar forecasting issue, such as filter or linear methods. In this study, we propose a
Jérémy Macaire +2 more
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Land, 2023 In key moments of urban history, urban design is confronted with the emergence of new paradigmatic design models, such as the garden city and the radiant city. Recently, the Smart City seems to have gained centre stage in the public debate.
Alessandro Venerandi +2 more
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Updated GOES-13 Heliosat-2 Method for Global Horizontal Irradiation in the Americas
Remote Sensing, 2022 Increasing the utilization of renewable energy is at the center of most sustainability policies. Solar energy is the most abundant resource of this type on Earth, and optimizing its use requires the optimal estimation of surface solar irradiation ...
Jessica Bechet +6 more
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TOWARD A GLOBAL BUNDLE ADJUSTMENT OF SPOT 5 – HRS IMAGES [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012 The HRS (High Resolution Stereoscopic) instrument carried on SPOT 5 enables quasi-simultaneous acquisition of stereoscopic images on wide segments – 120 km wide – with two forward and backward-looking telescopes observing the Earth with an ...
S. Massera +3 more
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A VISUAL ANALYTICS OF MOVEMENT DATA OF A WASTE COLLECTION SERVICE: A TOOL FOR SMART CITIES [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 Solid waste management is an important urban issue to be addressed in every city. In the smart city context, waste collection allows massive collection of data representing movements, provided by satellite tracking technologies and sensors on waste ...
A. Moreno +4 more
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Formalizing spatiotemporal knowledge in remote sensing applications to improve image interpretation
Journal of Spatial Information Science, 2013 Technological tools allow the generation of large volumes of data. For example satellite images aid in the study of spatiotemporal phenomena in a range of disciplines, such as urban planning, environmental sciences, and health care.
Christelle Pierkot +3 more
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Revue Française de Photogrammétrie et de Télédétection, 2015 Connaître la distribution des espèces vectrices de zoonoses est fondamentale pour comprendre les dynamiques épidémiologiques et caractériser les zones à risque.
Christophe Révillion +8 more
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