Results 101 to 110 of about 15,731 (300)
Ecological niche modeling is an important tool to evaluate the spatial distribution of terrestrial species, however, its applicability has been little explored in the aquatic environment.
Enrique Martinez-Meyer +5 more
doaj +1 more source
This study presents an Internet of Things‐based stormwater monitoring framework piloted at the University of Maryland campus to support Municipal Separate Stormwater Sewer System compliance and adaptive planning. Developed with key campus stakeholders, the framework integrates real‐time sensor deployment, data‐informed insights on runoff and water ...
Qianyao Si +16 more
wiley +1 more source
This study integrates phylogeography with distributional analysis to understand the demographic history and range dynamics of a limited dispersal capacity amphibian species, Blue-spotted Salamander (Ambystoma laterale), under several climate change ...
UTKU PERKTAS +2 more
doaj +1 more source
Digital Agriculture: Past, Present, and Future
Digital agriculture integrates Internet of Things, artificial intelligence, and blockchain to enhance efficiency and sustainability in farming. This review outlines its evolution, current applications, and future directions, highlighting both technological advances and key challenges for global implementation.
Xiaoding Wang +3 more
wiley +1 more source
Ecological niche modeling of Astragalus membranaceus var. mongholicus medicinal plants in Inner Mongolia, China [PDF]
Min Yang +5 more
openalex +1 more source
Impact of Biomimetic Pinna Shape Variation on Clutter Echoes: A Machine Learning Approach
Bats with dynamic ear structures navigate dense, echo‐rich environments, yet the echoes they receive are highly random. This study shows that machine learning can reliably detect structural signatures in these seemingly chaotic biosonar signals. The results open new directions for biologically inspired sensing, where time‐varying receiver shapes ...
Ibrahim Eshera +2 more
wiley +1 more source
Abstract Premise Species of Deuterocohnia (17 spp.) show extraordinary variation in elevation (0–3900 m a.s.l.) and growth forms, and many have narrow geographic distributions in the west‐central Andes and the Peru‐Chile coast. Previous research using few plastid and nuclear loci failed to produce well‐resolved or supported phylogenies.
Bing Li +5 more
wiley +1 more source

