EU; The Academy of Finland; Projektträger Jülich (PtJ); Germany; The State Education Development Agency of Latvia; The National Centre for Research and Development, Poland; The Swedish Research Council Formas; BalticEye Stockholm University; foundation BalticSea202
The Gulf of Mexico is an ecologically and economically important marine ecosystem that is affected b...
The Gulf of Mexico is an ecologically and economically important marine ecosystem that is affected b...
Ecological problems are typically multi faceted and need to be addressed from a scientific and a man...
Ecosystems consist of complex dynamic interactions among species and the environment, the understand...
Dynamic Bayesian networks (DBNs) provide a versatile method for predictive, whole-of-systems modelli...
AbstractEcosystems consist of complex dynamic interactions among species and the environment, the un...
Ecosystems consist of complex dynamic interactions among species and the environment, the understand...
This thesis discusses how Bayesian networks can be used to improve data analytics in the field of en...
Understanding ecosystem dynamics within shallow shelf seas is of great importance to support marine ...
The recent adoption of Bayesian networks (BNs) in ecology provides an opportunity to make advances b...
Acknowledgements This work was supported by the Supergen Offshore Renewable Energy (ORE) Hub, funded...
In today's world, it is becoming increasingly important to have the tools to understand, and ultimat...
The relationship between ecological impact and ecosystem structure is often strongly nonlinear, so t...
Predicting temporal responses of ecosystems to disturbances associated with industrial activities is...
This research was inspired in part by the SFB TRR 212 (NC3), which is funded by the German Research ...
The Gulf of Mexico is an ecologically and economically important marine ecosystem that is affected b...
The Gulf of Mexico is an ecologically and economically important marine ecosystem that is affected b...
Ecological problems are typically multi faceted and need to be addressed from a scientific and a man...
Ecosystems consist of complex dynamic interactions among species and the environment, the understand...
Dynamic Bayesian networks (DBNs) provide a versatile method for predictive, whole-of-systems modelli...
AbstractEcosystems consist of complex dynamic interactions among species and the environment, the un...
Ecosystems consist of complex dynamic interactions among species and the environment, the understand...
This thesis discusses how Bayesian networks can be used to improve data analytics in the field of en...
Understanding ecosystem dynamics within shallow shelf seas is of great importance to support marine ...
The recent adoption of Bayesian networks (BNs) in ecology provides an opportunity to make advances b...
Acknowledgements This work was supported by the Supergen Offshore Renewable Energy (ORE) Hub, funded...
In today's world, it is becoming increasingly important to have the tools to understand, and ultimat...
The relationship between ecological impact and ecosystem structure is often strongly nonlinear, so t...
Predicting temporal responses of ecosystems to disturbances associated with industrial activities is...
This research was inspired in part by the SFB TRR 212 (NC3), which is funded by the German Research ...
The Gulf of Mexico is an ecologically and economically important marine ecosystem that is affected b...
The Gulf of Mexico is an ecologically and economically important marine ecosystem that is affected b...
Ecological problems are typically multi faceted and need to be addressed from a scientific and a man...