Results 171 to 180 of about 272,810 (340)
Ecography, EarlyView.Correlative species distribution models (SDMs) are quantitative tools in biogeography and macroecology. Building upon the ecological niche concept, they correlate environmental covariates to species presence to model habitat suitability and predict species distributions.
Moritz Klaassen +3 more
wiley +1 more source
Iowa's First Official A. A. U. Swimming & Diving Championships [PDF]
, 1968 John Robert Gobble
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Data integration improves species distribution forecasts under novel ocean conditions
Ecography, EarlyView.Accurate forecasts of species distributions in response to changing climate is essential for proactive management and conservation decision‐making. However, species distribution models (SDMs) often have limited capacity to produce robust forecasts under novel environmental conditions, partly due to limitations in model training data.
Nima Farchadi +7 more
wiley +1 more source
Closure to “Discussions of ‘A Fuel Cell Power Plant for a Deep Diving Submarine’” (1968, ASME J. Eng. Ind., 90, pp. 266–267) [PDF]
, 1968 W.C. Thurber
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ELECTROPHORESIS, EarlyView.ABSTRACT The first patent to describe dielectrophoresis (DEP) as a means and process to separate particles from a mixture was granted by the US Patent Office to Henry Stafford Hatfield in 1924. The novel methods of sample preparation and designs of electrode geometry covered by the patent's disclosures and claims describe the basis for most present‐day
Ronald Pethig
wiley +1 more source
XI. Description of a new diving machine, proper for being employed in rivers, &c. [PDF]
C.H. Klingert
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Aerodynamic enhancement of wind turbine blades through Peregrine falcon‐inspired surface designs
Environmental Progress &Sustainable Energy, EarlyView.Abstract As global energy demands increase, enhancing renewable energy technologies, particularly wind turbines, is essential to meet sustainability goals. However, achieving higher efficiency remains challenging due to limitations in traditional blade designs. This study explores an innovative solution by applying biomimetic principles inspired by the
Yasin Furkan Gorgulu, Mustafa Arif Ozgur
wiley +1 more source
A General Approach to Dropout in Quantum Neural Networks
Advanced Quantum Technologies, EarlyView., 2023 Randomly dropping artificial neurons and all their connections in the training phase reduces overfitting issues in classical neural networks, thus improving performances on previously unseen data. The authors introduce different dropout strategies applied to quantum neural networks, learning models based on parametrized quantum circuits.
Francesco Scala +3 more
wiley +1 more source