Results 221 to 230 of about 57,699 (297)
A Dual-Modality CNN Approach for RSS-Based Indoor Positioning Using Spatial and Frequency Fingerprints. [PDF]
Lai X, Luo Y, Jia Y.
europepmc +1 more source
Climate and Land‐Use Change May Reshape the Biogeography of Freshwater Crabs Across China
We employed ensemble species distribution models to investigate how climate and land‐use change will impact habitat suitability for two freshwater crab families (Potamidae and Sesarmidae) across China. Temperature emerged as the dominant driver, with cropland and urban land having strong, family‐specific effects on suitability. Future scenarios predict
Yiting Geng +6 more
wiley +1 more source
A novel image fusion method based on UAV and Sentinel-2 for environmental monitoring. [PDF]
Zhang F, Guo A, Hu Z, Liang Y.
europepmc +1 more source
High Performance Implementation of Image Scaling Processor in FPGA Using Bilinear Interpolation
S.Hari prasath, M.S anthi
openalex +1 more source
Current Protections and Future Threats to Say's Spiketail Habitat in the Southeastern USA
Dragonflies and damselflies are important indicators of ecological integrity and environmental quality but remain underrepresented in conservation efforts, in part due to a lack of quantitative information regarding their habitat requirements. Species distribution models (SDMs) can facilitate conservation planning by allowing researchers to estimate ...
J. Matthew Flenniken +2 more
wiley +1 more source
High-speed quantitative X-ray multi-contrast imaging with deep learning based modulated pattern analysis. [PDF]
Qiao Z +8 more
europepmc +1 more source
ABSTRACT This study quantifies the influence of alkali‐silica reaction (ASR) on the seismic fragility of prestressed concrete containment structures in nuclear power plants (NPPs). Global collapse was considered as the governing failure mode to maintain consistency with current risk assessment frameworks, and was captured using a finite element model ...
Chanyoung Kim +3 more
wiley +1 more source
Landslide susceptibility mapping in India's Western Ghats using machine learning revealed high‐risk zones driven by deforestation, slope alteration and road proximity. The Random Forest model showed highest accuracy, supporting targeted mitigation, planning and early warning systems.
Manoranjan Mishra +4 more
wiley +1 more source
Image Fusion for Super-Resolution Mass Spectrometry Imaging of Plant Tissue. [PDF]
Zou Y, Sun S, Tang W, Li B.
europepmc +1 more source

