Results 51 to 60 of about 324 (121)
The proposed deep learning framework integrates ResNet‐50 and LSTM models to detect and classify terrestrial ecosystems from satellite imagery. The workflow begins with image preprocessing using bilateral, guided, and median filters to enhance image quality and preserve edges.
Liang Dong +5 more
wiley +1 more source
Boundary Vector Cells Encode a Future‐Biased Spectrum of Positions in the Rat
ABSTRACT Spatial tuning is a hallmark property of neural firing in the hippocampal formation. Yet, that tuning is often less well correlated with the instantaneous current position of an animal than it is with an integrated version of the past or future state of the animal.
Ehren Lee Newman +3 more
wiley +1 more source
Seeing Through Scattering With Computational Advances: A Review
In scattering media, light scrambles into random speckles and impedes our vision. Unlocking hidden information enables breakthroughs to see behind the opaqueness, inspiring applications in imaging, communication, and encryption. Unlike clear media such as clear water and air, a scattering medium is inhomogeneous, in which propagating photons are ...
Huanhao Li +4 more
wiley +1 more source
This review surveys eukaryotic cilia as putative quantum‐enabled sensory and regulatory centers. It highlights their multifaceted roles in the cell, focuses on the nontrivial roles of quantum mechanics in their membrane and cytoskeletal proteins, and introduces the essential building blocks enabling quantum properties to survive in the warm, wet, and ...
Daniel L. Bilezikian +5 more
wiley +1 more source
The review discusses stimuli‐responsive hydrogels as soft optical materials that translate physical, chemical, and biological cues into refractive‐index, scattering, birefringence, diffraction, and transparency changes. It examines major stimulus classes and photonic architectures for biosensing, waveguiding, adaptive lenses, smart windows, and therapy.
Andrés Bernal‐Ballén +2 more
wiley +1 more source
This review explores the application of machine learning‐based image analysis technology in four major organic crystallization tasks, providing a reference for subsequent research in the corresponding fields. ABSTRACT Manual crystallization experiments have always been challenging, requiring extensive process development expertise and often resulting ...
Tianqi Ma +8 more
wiley +1 more source
Domain‐Aware Implicit Network for Arbitrary‐Scale Remote Sensing Image Super‐Resolution
Although existing arbitrary‐scale image super‐resolution methods are flexible to reconstruct images with arbitrary scales, the characteristic of training distribution is neglected that there exists domain shift between samples of various scales. In this work, a Domain‐Aware Implicit Network (DAIN) is proposed to handle it from the perspective of domain
Xiaoxuan Ren +6 more
wiley +1 more source
The spread of non‐native species
ABSTRACT The global redistribution of species through human agency is one of the defining ecological signatures of the Anthropocene, with biological invasions reshaping biodiversity patterns, ecosystem processes and services, and species interactions globally.
Phillip J. Haubrock +16 more
wiley +1 more source
Electronic jelly: Engineering the mechanics of hydrogels for flexible electronics
By unifying mechanical reinforcement strategies—double networks, structural ordering, and dynamic interactions—this review demonstrates how engineered hydrogels can transcend their fragility to achieve the strength, toughness, and reliability required for flexible electronics, including wearable sensors, energy devices, and soft robotic systems ...
Tianfu Zheng +2 more
wiley +1 more source
We propose MSSM+, an extension of multiscale structural mapping (MSSM), together with surface supervertex mapping (SSVM) and a Supervertex Vision Transformer (SV‐ViT). Together, these methods exhibited better performance in detecting Alzheimer's disease and less variability across MR vendors than MSSM.
Geonwoo Baek +3 more
wiley +1 more source

