In the last few years, Artificial Intelligence (AI) has achieved a notable momentum that, if
harnessed appropriately, may deliver the best of expectations over many application sectors …

Industry 4.0 is the new industrial revolution. By connecting every machine and activity
through network sensors to the Internet, a huge amount of data is generated. Machine …

The use of correlative ecological niche models has highly increased in the last decade.
Despite all literature and textbooks in this field, few practical guidelines exist on the correct …

Deep neural networks (DNNs) are powerful black-box predictors that have achieved
impressive performance on a wide variety of tasks. However, their accuracy comes at the …

Understanding the relationship between the geographical distribution of taxa and their
environmental conditions is a key concept in ecology and conservation. The use of …

Joint species distribution modelling (JSDM) is a fast-developing field and promises to
revolutionise how data on ecological communities are analysed and interpreted. Written for …

This book introduces the key stages of niche-based habitat suitability model building,
evaluation and prediction required for understanding and predicting future patterns of …

With the advent of machine learning (ML) and deep learning (DL) empowered applications
for critical applications like healthcare, the questions about liability, trust, and interpretability …

The ocean is home to myriad small planktonic organisms that underpin the functioning of
marine ecosystems. However, their spatial patterns of diversity and the underlying drivers …

A large array of species distribution model (SDM) approaches has been developed for
explaining and predicting the occurrences of individual species or species assemblages …