Results 11 to 20 of about 11,474,388 (383)

Coevolution of machine learning and process‐based modelling to revolutionize Earth and environmental sciences: A perspective

open access: yesHydrological Processes, 2022
Machine learning (ML) applications in Earth and environmental sciences (EES) have gained incredible momentum in recent years. However, these ML applications have largely evolved in ‘isolation’ from the mechanistic, process‐based modelling (PBM) paradigms,
S. Razavi   +8 more
semanticscholar   +1 more source

LamaH-CE: LArge-SaMple DAta for Hydrology and Environmental Sciences for Central Europe

open access: yesEarth System Science Data, 2021
. Very large and comprehensive datasets are increasingly used in the field of hydrology. Large-sample studies provide insights into the hydrological cycle that might not be available with small-scale studies. LamaH-CE (LArge-SaMple DAta for Hydrology and
Christoph Klingler   +2 more
semanticscholar   +1 more source

A TRANSFORMAÇÃO DO TRABALHO DO PROFESSOR: COANÁLISE DAS ATIVIDADES DOCENTES DURANTE A PANDEMIA COVID-19 ATRAVÉS DA CLÍNICA DA ATIVIDADE

open access: yesTrabalho & Educação, 2022
The reflection and mutual analysis with the faculty about their work is essential for the maintenance of the health and production of these subjects, transforming itself in the strengthening of the collectives and in the improvement of the dynamic ...
Maria Fernanda Lopes de Freitas
doaj   +1 more source

The History and Practice of AI in the Environmental Sciences

open access: yesBulletin of The American Meteorological Society - (BAMS), 2021
Artificial intelligence (AI) and machine learning (ML) have become important tools for environmental scientists and engineers, both in research and in applications. Although these methods have become quite popular in recent years, they are not new.
S. E. Haupt   +9 more
semanticscholar   +1 more source

Statistical Techniques for Environmental Sciences: A Review

open access: yesMathematical and Computational Applications, 2021
This paper reviews the interdisciplinary collaboration between Environmental Sciences and Statistics. The usage of statistical methods as a problem-solving tool for handling environmental problems is the key element of this approach.
Lishamol Tomy   +2 more
semanticscholar   +1 more source

GIS Open-Source Plugins Development: A 10-Year Bibliometric Analysis on Scientific Literature

open access: yesGeomatics, 2021
The advent of Geographical Information Systems (GIS) has changed the way people think and interact with the world. The main objectives of this paper are: (i) to provide an overview of 10 years (2010–2020) regarding the creation/development of GIS open ...
Lia Duarte, Ana Cláudia Teodoro
doaj   +1 more source

A Comprehensive Exploration of Earth’s Systems: Geography, Ecology, and Environmental Dynamics [PDF]

open access: yesSocial Science Chronicle, 2022
This research paper navigates the intricate arras of Earth’s systems, synthesizing a comprehensive exploration spanning geographical landscapes, environmental sciences, and ecological studies.
Hassan Hamidi
doaj   +1 more source

RECOMIA - RECOMMENDATIONS FOR MARINE IMAGE ANNOTATION: LESSONS LEARNED AND FUTURE DIRECTIONS

open access: yesFrontiers in Marine Science, 2016
Marine imaging is transforming into a sensor technology applied for high throughput sampling. In the context of habitat mapping, imaging establishes thereby an important bridge technology regarding the spatial resolution and information content between ...
Timm eSchoening   +2 more
doaj   +1 more source

Zebrafish and Medaka as model organisms for climate change research: Global literature scientometric analysis

open access: yesFrontiers in Earth Science, 2022
Determining how climate change affects aquatic organisms, such as fish is vital, since this could directly or indirectly impact food and protein sources that are important for human nutrition. Thus, identifying suitable organisms for studying the impacts
Mohamad Nor Azra   +15 more
doaj   +1 more source

Signal detection in global mean temperatures after "Paris": An uncertainty and sensitivity analysis [PDF]

open access: yes, 2017
In December 2015, 195 countries agreed in Paris to hold the increase in global mean surface temperature (GMST) well below 2.0 °C above pre-industrial levels and to pursue efforts to limit the temperature increase to 1.5 °C.
Bregman, Bram   +6 more
core   +4 more sources

Home - About - Disclaimer - Privacy