Artificial intelligence applied to battery research: hype or reality?
This is a critical review of artificial intelligence/machine learning (AI/ML) methods applied to
battery research. It aims at providing a comprehensive, authoritative, and critical, yet easily …
battery research. It aims at providing a comprehensive, authoritative, and critical, yet easily …
Species distribution models and ecological theory: a critical assessment and some possible new approaches
M Austin - Ecological modelling, 2007 - Elsevier
Given the importance of knowledge of species distribution for conservation and climate
change management, continuous and progressive evaluation of the statistical models …
change management, continuous and progressive evaluation of the statistical models …
[BOOK][B] Habitat suitability and distribution models: with applications in R
This book introduces the key stages of niche-based habitat suitability model building,
evaluation and prediction required for understanding and predicting future patterns of …
evaluation and prediction required for understanding and predicting future patterns of …
Novel methods improve prediction of species' distributions from occurrence data
Prediction of species' distributions is central to diverse applications in ecology, evolution and
conservation science. There is increasing electronic access to vast sets of occurrence …
conservation science. There is increasing electronic access to vast sets of occurrence …
Springer series in statistics
The idea for this book came from the time the authors spent at the Statistics and Applied
Mathematical Sciences Institute (SAMSI) in Research Triangle Park in North Carolina …
Mathematical Sciences Institute (SAMSI) in Research Triangle Park in North Carolina …
[CITATION][C] Map** species distributions: spatial inference and prediction
J Franklin - 2009 - books.google.com
Maps of species' distributions or habitat suitability are required for many aspects of
environmental research, resource management and conservation planning. These include …
environmental research, resource management and conservation planning. These include …
[BOOK][B] Statistical pattern recognition
AR Webb - 2003 - books.google.com
Statistical pattern recognition is a very active area of study andresearch, which has seen
many advances in recent years. New andemerging applications-such as data mining, web …
many advances in recent years. New andemerging applications-such as data mining, web …
Sample selection bias and presence‐only distribution models: implications for background and pseudo‐absence data
Most methods for modeling species distributions from occurrence records require additional
data representing the range of environmental conditions in the modeled region. These data …
data representing the range of environmental conditions in the modeled region. These data …
Prediction of the landslide susceptibility: Which algorithm, which precision?
HR Pourghasemi, O Rahmati - Catena, 2018 - Elsevier
Coupling machine learning algorithms with spatial analytical techniques for landslide
susceptibility modeling is a worth considering issue. So, the current research intend to …
susceptibility modeling is a worth considering issue. So, the current research intend to …
Gully erosion susceptibility assessment and management of hazard-prone areas in India using different machine learning algorithms
Gully erosion is one of the most effective drivers of sediment removal and runoff from
highland areas to valley floors and stable channels, where continued off-site effects of water …
highland areas to valley floors and stable channels, where continued off-site effects of water …