Results 71 to 80 of about 42,664 (162)

BD-VITGAN: a blind dense VITGAN for satellite remote sensing images super-resolution reconstruction

Geo-spatial Information Science
High-resolution (HR) remote sensing images contain valuable information, and drone imagery typically offers higher resolution than satellite images. However, UAVs face challenges in cost and resource consumption when covering large areas.
Zeyuan Zhang, Wei Feng, Min Zhong, Meng Yang   +3 more
doaj   +1 more source

Bridging data silos to holistically model plant macrophenology

New Phytologist, EarlyView.
Summary Phenological response to global climate change can impact ecosystem functions. There are various data sources from which spatiotemporal and taxonomic phenological data may be obtained: mobilized herbaria, community science initiatives, observatory networks, and remote sensing.
Lizbeth G. Amador, Tadeo H. Ramirez‐Parada, Isaac W. Park, Susan J. Mazer, Aaron M. Ellison, Margaret O'Brien, Eric R. Sokol, Colin A. Smith, Charles C. Davis, Sydne Record   +9 more
wiley   +1 more source

Disentangling palaeoecological and outcrop controls on MISS occurrence in c. 1 Ga fluvio‐lacustrine facies of the Diabaig Formation, Scotland

Sedimentology, EarlyView.
ABSTRACT The c. 1 Ga Diabaig Formation of north‐west Scotland preserves diverse lacustrine and fluvial facies and abundant microbial and non‐microbial surficial sedimentary features. 172.6 m of section was logged across seven localities to assess the distribution of microbially induced sedimentary structures (MISS) relative to lithofacies, substrate ...
Seán T. Herron, Neil S. Davies, William J. McMahon   +2 more
wiley   +1 more source

A Dual-Strategy Learning Framework for Hyperspectral Image Super-Resolution

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Hyperspectral image super-resolution (HSI SR) has achieved remarkable success with deep neural networks. Currently, most methods in HSI SR assume a predetermined degradation model during training to synthesize low-resolution images.
Shuying Li, Ruichao Sun, San Zhang, Qiang Li   +3 more
doaj   +1 more source

Glycosylation of the murine cardiac channel TRPM4 is altered by the pathogenic p.I376T variant

Experimental Physiology, EarlyView.
Abstract TRPM4 is a calcium‐activated, voltage‐modulated, non‐selective cation channel expressed in various tissues, including the heart. In 2016, we reported on a large French family with progressive heart block type I carrying the variant TRPM4 p.I376T.
Sabrina Guichard, Emanuele di Lorenzo, Dominic Schneiter, Maria Essers, Prakash Arullampalam, Jean‐Sébastien Rougier, Hugues Abriel   +6 more
wiley   +1 more source

Anatomical and functional mapping of vagal nociceptive sensory nerve subsets innervating the mouse lower airways by intersectional genetics

The Journal of Physiology, EarlyView.
Abstract figure legend We used an intersectional approach with recombinase‐expressing mice and adeno‐associated virus to map and modulate distinct nociceptive afferents in the vagal ganglia. TRPV1+P2X2+ neurons resided in the nodose ganglion (N), innervated the lungs (many projected into the alveoli) but not the trachea, and projected to the nucleus ...
Mayur J. Patil, Justin Shane Hooper, Seol‐Hee Kim, Parmvir K. Bahia, Nika Pavelkova, Sanjay S. Nair, Teresa S. Darcey, Karina V. Lurye, Meghana Madaram, Jailene Fiallo, Stephen H. Hadley, Thomas E. Taylor‐Clark   +11 more
wiley   +1 more source

Innovative Drug Delivery Systems for the Treatment of Glaucoma

MedComm – Biomaterials and Applications, Volume 5, Issue 2, June 2026.
This review aims to provide a comprehensive overview of current topical drug delivery strategies for ocular hypotensive agents in glaucoma therapy. Additionally, it discusses the potential impact of emerging nanotechnological and biomaterial‐based systems in shaping the future of ophthalmic drug delivery, with an emphasis on enhancing efficacy, safety,
Jing Chu, Junzhi Li, Zhenlin Chen, Jinyu Zhang, Siqi Feng, Jiaying Huang, Yawen Chu, Xue Zhou, Wei Wang, Shangsi Chen   +9 more
wiley   +1 more source

Neural Nearest Neighbors Networks

, 2018
Non-local methods exploiting the self-similarity of natural signals have been well studied, for example in image analysis and restoration. Existing approaches, however, rely on k-nearest neighbors (KNN) matching in a fixed feature space.
Plötz, Tobias, Roth, Stefan
core  

Neural network with signal parameters featuring for near‐surface velocity model building

Near Surface Geophysics, Volume 24, Issue 3, Page 289-299, June 2026.
Abstract This study presents a method that integrates spectral recomposition (SR) with a neural network to improve near‐surface seismic analysis. The approach incorporates SR‐derived wavelet‐timing attributes into a fully convolutional network (FCN) to enhance the characterization of shallow subsurface structures. Field evaluation was conducted using S‐
Nelson Ricardo Coelho Flores Zuniga
wiley   +1 more source

Exploring contextual priors for real-world image super-resolution

Computational Visual Media
Real-world blind image super-resolution is a challenging problem due to the absence of target high resolution images for training. Inspired by the recent success of the single image generation based method SinGAN, we tackle this challenging problem with ...
Shixiang Wu, Chao Dong, Yu Qiao
doaj   +1 more source