Long-term wetland mapping at 10 m resolution using super-resolution and hierarchical classification – a case study in Jianghan Plain, China by Yifei Han, Hong Chi, Jinliang Huang, Xiaoming Shi, Juan Qiu, Qihui Shao, Yifan Li, Chen Cheng, Feng Ling

“…However, long-term wetland mapping is difficult due to poor historical data quality and wetland complexity, resulting in the triangular contradiction of long-term, high-resolution, and comprehensive classification systems. …”
Get full text

Dual branch attention network for image super-resolution by Yiwei Hu, Yisu Ge, Mingming Qi, Shuhua Xu

“…Abstract The advancement of deep convolutional neural networks (CNNs) has resulted in remarkable achievements in image super-resolution methods utilizing CNNs. However, these methods have been limited by a narrow perceptual field and often require a high number of parameters and computational complexity, making them unsuitable for resource-constrained devices. …”
Get full text

Synthesizing Recursive Logic Programs by Inverting General Resolution by Taosheng Qiu, Ryutaro Ichise

“…Second, MPL uses the general resolution as the deduction model, which is inverted by two inductive rules: abduction and split. …”
Get full text

Ecological crisis manifestations and innovative scientific strategies for resolution by Ostonova Gulnoza

“…The study reveals that while the government has initiated several measures to tackle environmental problems, challenges persist due to the scale and complexity of the issues. Innovative scientific strategies, including advanced monitoring techniques and sustainable resource management practices, are essential for effective resolution. …”
Get full text

High-resolution mapping of orchard distribution across Italy by Francesco Lodato, Ryan Jayne, Marco Santonico, Maurizio Pollino, Flavio Bellino, Laura De Gara, Bruno Basso

“…However, achieving this on a broad scale presents significant challenges, primarily due to the high costs and complexities associated with in-situ sampling and georeferencing. …”
Get full text

DWT-SVD Based Watermarking for High-Resolution Medical Holographic Images by Fahrettin Horasan, Muhammed Ali Pala, Ali Durdu, Akif Akgül, Ömer Faruk Akmeşe, Mustafa Zahid Yıldız

Get full text

Resolution of Max-Product Fuzzy Relation Equation with Interval-Valued Parameter by Xiaobin Yang, Haitao Lin, Gang Xiao, Huanbin Xue, Xiaopeng Yang

Get full text

Compressed sensing transformer unfolding network for high resolution image denoising by Jie Zhang, Wenxiao Huang, Miaoxin Lu, Linwei Li, Yongpeng Shen, Yanfeng Wang, Jinsong Du

Get full text

Wavelet attention-based implicit multi-granularity super-resolution network by Chen Boying, Shi Jie

Get full text

XTNSR: Xception-based transformer network for single image super resolution by Jagrati Talreja, Supavadee Aramvith, Takao Onoye

“…By optimizing parameters, the suggested architecture also lowers computational complexity. Overall, the architecture presents a promising approach for advancing image super-resolution capabilities.…”
Get full text

High-resolution structures of malaria parasite actomyosin and actin filaments. by Juha Vahokoski, Lesley J Calder, Andrea J Lopez, Justin E Molloy, Inari Kursula, Peter B Rosenthal

“…Here, we present the high-resolution structure of the actomyosin motor complex from Plasmodium falciparum. …”
Get full text

High-Resolution ISAR Imaging with Wideband V-FM Waveforms by Dejun Feng, Xiaoyi Pan, Guoyu Wang

Get full text

Rapid Onset and Resolution of Hydroxychloroquine Cardiomyopathy: A Case Report by Ahmad Ramahi, Amer Heider, J. Michelle Kahlenberg

Get full text

Signal size and resolution of scanning thermal microscopy in air and vacuum by Jabez J. McClelland, Evgheni Strelcov, Ami Chand

“…Signal levels are compared and resolution is probed by scanning over the edge of a nanofabricated Ag square embedded in $$\hbox {SiO}_{2}$$ . …”
Get full text

Towards surface wave tomography with 3D resolution and uncertainty by Franck Latallerie, Christophe Zaroli, Sophie Lambotte, Alessia Maggi, Andrew Walker, Paula Koelemeijer

“…However, data sparsity and errors lead to tomographic models with complex resolution and uncertainty, which can impede meaningful physical interpretations. …”
Get full text

Microglia efferocytosis: an emerging mechanism for the resolution of neuroinflammation in Alzheimer’s disease by Yongping Chen, Yuhong Kou, Yang Ni, Haotian Yang, Cailin Xu, Honggang Fan, Huanqi Liu

“…Abstract Alzheimer’s disease (AD) is a complex neurodegenerative disorder characterized by significant neuroinflammatory responses. …”
Get full text

Multi-scale adversarial diffusion network for image super-resolution by Yanli Shi, Xianhe Zhang, Yi Jia, Jinxing Zhao

“…To address these challenges, this paper proposes a Multi-Scale Adversarial Diffusion Network (MSADN) based on super-resolution. A time-dependent discriminator is introduced to model complex multimodal distributions, significantly improving the efficiency of single-step sampling. …”
Get full text

Parsimonious High‐Resolution Landslide Susceptibility Modeling at Continental Scales by Benjamin B. Mirus, Gina M. Belair, Nathan J. Wood, Jeanne Jones, Sabrina N. Martinez

“…Abstract Landslide susceptibility maps are fundamental tools for risk reduction, but the coarse resolution of current continental‐scale models is insufficient for local application. …”
Get full text

Task-Driven Real-World Super-Resolution of Document Scans by Maciej Zyrek, Tomasz Tarasiewicz, Jakub Sadel, Aleksandra Krzywon, Michal Kawulok

“…Although recent deep learning-based methods have demonstrated notable success on simulated datasets—with low-resolution images obtained by degrading and downsampling high-resolution ones—they frequently fail to generalize to real-world settings, such as document scans, which are affected by complex degradations and semantic variability. …”
Get full text

Unsupervised Spectral Super-Resolution Guided by Spectral Sampling Priors by Xintao Zhong, Shenfu Zhang, Chenyang Lu, Xuejian Sun, Feng Shao, Weiwe Sun, Xiangchao Meng

“…However, HSI acquisition is costly and time-consuming due to specialized hardware and complex preprocessing. In addition, spectral mixing phenomena in low-resolution HSIs degrade image quality. …”
Get full text