Reveal the mechanism of brain function with fluorescence microscopy at single-cell resolution: from neural decoding to encoding by Kangchen Li, Huanwei Liang, Jialing Qiu, Xulan Zhang, Bobo Cai, Depeng Wang, Diming Zhang, Bingzhi Lin, Haijun Han, Geng Yang, Zhijing Zhu

“…Abstract As a key pathway for understanding behavior, cognition, and emotion, neural decoding and encoding provide effective tools to bridge the gap between neural mechanisms and imaging recordings, especially at single-cell resolution. While neural decoding aims to establish an interpretable theory of how complex biological behaviors are represented in neural activities, neural encoding focuses on manipulating behaviors through the stimulation of specific neurons. …”
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Fine-Resolution Satellite Remote Sensing Improves Spatially Distributed Snow Modeling to Near Real Time by Graham A. Sexstone, Garrett A. Akie, David J. Selkowitz, Theodore B. Barnhart, David M. Rey, Claudia León-Salazar, Emily Carbone, Lindsay A. Bearup

“…Given the highly variable distribution of seasonal snowpacks in complex mountainous environments, the accurate snow modeling of basin-wide snow water equivalent (SWE) requires a spatially distributed approach at a sufficiently fine grid resolution (<500 m) to account for the important processes in the seasonal evolution of a snowpack (e.g., wind redistribution of snow to resolve patchy snow cover in an alpine zone). …”
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MLinvitroTox reloaded for high-throughput hazard-based prioritization of high-resolution mass spectrometry data by Katarzyna Arturi, Eliza J. Harris, Lilian Gasser, Beate I. Escher, Georg Braun, Robin Bosshard, Juliane Hollender

“…Abstract MLinvitroTox is an automated Python pipeline developed for high-throughput hazard-driven prioritization of toxicologically relevant signals detected in complex environmental samples through high-resolution tandem mass spectrometry (HRMS/MS). …”
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Assessing climate trends in the Northwestern Himalayas: a comprehensive analysis of high-resolution gridded and observed datasets by Rayees Ahmed, Taha Shamim, Joshal Kumar Bansal, Abid Farooq Rather, Sumaira Javaid, Gowhar Farooq Wani, Ishfaq Hussain Malik, Pervez Ahmed, Sanjay K. Jain, Kashif Imdad, James D. Ford, Riyaz A. Mir

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DLNet: A Dual-Level Network with Self- and Cross-Attention for High-Resolution Remote Sensing Segmentation by Weijun Meng, Lianlei Shan, Sugang Ma, Dan Liu, Bin Hu

“…However, semantic segmentation of such imagery remains challenging due to complex spatial structures, fine-grained details, and land cover variations. …”
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Multidisciplinary high resolution Geophysical Imaging of Pantano Ripa Rossa Segment of the Irpinia Fault (Southern Italy) by Pier Paolo G. Bruno, Giuseppe Ferrara, Miller Zambrano, Stefano Maraio, Luigi Improta, Tiziano Volatili, Vincenzo Di Fiore, Giovanni Florio, David Iacopini, Filippo Accomando, Daniela Tarallo, Paolo Marco De Martini, Filippo Muccini, Michele Punzo, Valeria Paoletti, Stefano Albanese, Antonio Iannone, Lucia Rita Pacifico, Annamaria Vicari, Nicola Angelo Famiglietti, Antonino Memmolo, Giuseppe Cavuoto, Maurizio Milano

“…This work demonstrates the utility of developing an integrated approach at high-resolution geophysical imaging and interpretation of fault zones with weak morphological expressions.…”
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Delineating Mixed Urban “Jobs-Housing” Patterns at a Fine Scale by Using High Spatial Resolution Remote-Sensing Imagery by Yao Yao, Chen Qian, Ye Hong, Qingfeng Guan, Jingmin Chen, Liangyang Dai, Zhangwei Jiang, Xun Liang

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Angular Super-Resolution of Forward-Looking Scanning Radar via Grid-Updating Split SPICE-TV by Ruitao Li, Jiawei Luo, Yin Zhang, Yongchao Zhang, Lu Jiao, Deqing Mao, Yulin Huang, Jianyu Yang

“…The method allows for the efficient updating of reconstruction results with both contour and resolution, and a recursive grid-updating implementation framework of the split SPICE-TV has the capability to reduce the computational complexity. …”
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DMPDS: A Fast Motion Estimation Algorithm Targeting High Resolution Videos and Its FPGA Implementation by Gustavo Sanchez, Felipe Sampaio, Marcelo Porto, Sergio Bampi, Luciano Agostini

“…This paper presents a new fast motion estimation (ME) algorithm targeting high resolution digital videos and its efficient hardware architecture design. …”
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SPECTREPlex: an automated, fast, high-resolution enabled approach for multiplexed cyclic imaging and tissue spatial analysis by Michael D. Anderson, Abigail Plone, Jeffrey La, Madison Wong, Krishnan Raghunathan, Jocelyn A. Silvester, Jay R. Thiagarajah

“…However, many current methods have a variety of limitations that reduce their practical utilization including cost, time and technical complexity. To address these drawbacks, we developed Spatial Photo-inactivation Enhanced Cyclic Target REsolved multiPlexing (SPECTRE-Plex). …”
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Extracting road maps from high-resolution satellite imagery using refined DSE-LinkNet by Prativa Das, Satish Chand

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High-Resolution Direction of Arrival Estimation of Underwater Multitargets Using Swarming Intelligence of Flower Pollination Heuristics by Nauman Ahmed, Huigang Wang, Shanshan Tu, Norah A.M. Alsaif, Muhammad Asif Zahoor Raja, Muhammad Kashif, Ammar Armghan, Yasser S. Abdalla, Wasiq Ali, Farman Ali

“…The measuring parameters like robustness against noise and element quantity, estimation accuracy, computation complexity, various numbers of hydrophones, variability analysis, frequency distribution and cumulative distribution function of root mean square error (RMSE), and resolution ability are applied for analyzing the performance of the proposed model with additive white Gaussian noise (AWGN). …”
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A Robust System for Super-Resolution Imaging in Remote Sensing via Attention-Based Residual Learning by Rogelio Reyes-Reyes, Yeredith G. Mora-Martinez, Beatriz P. Garcia-Salgado, Volodymyr Ponomaryov, Jose A. Almaraz-Damian, Clara Cruz-Ramos, Sergiy Sadovnychiy

“…Deep learning-based super-resolution (SR) frameworks are widely used in remote sensing applications. …”
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A Multi-Path Feature Extraction and Transformer Feature Enhancement DEM Super-Resolution Reconstruction Network by Mingqiang Guo, Feng Xiong, Ying Huang, Zhizheng Zhang, Jiaming Zhang

“…In recent years, great progress has been made in the field of super-resolution (SR) reconstruction based on deep learning techniques. …”
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Lights-Transformer: An Efficient Transformer-Based Landslide Detection Model for High-Resolution Remote Sensing Images by Xu Wu, Xuqing Ren, Donghao Zhai, Xiangpeng Wang, Mehreen Tarif

“…However, existing models often face challenges, such as incomplete feature extraction, loss of contextual information, and high computational complexity. To overcome these challenges, we propose an innovative landslide detection model, Lights-Transformer, which is designed to improve both the accuracy and efficiency. …”
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Channel Amplitude and Phase Error Estimation of Fully Polarimetric Airborne SAR with 0.1 m Resolution by Jianmin Hu, Yanfei Wang, Jinting Xie, Guangyou Fang, Huanjun Chen, Yan Shen, Zhenyu Yang, Xinwen Zhang

“…Considering the issue of range resolution degradation and paired echoes caused by multichannel amplitude–phase mismatch in fully polarimetric airborne SAR with 0.1 m resolution, an amplitude–phase error estimation algorithm based on echo data is proposed in this paper. …”
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GLFFNet: Global–Local Feature Fusion Network for High-Resolution Remote Sensing Image Semantic Segmentation by Saifeng Zhu, Liaoying Zhao, Qingjiang Xiao, Jigang Ding, Xiaorun Li

“…Given that Mamba is capable of handling long-range relationships with linear computational complexity and relatively high speed, we introduce VMamba as an auxiliary branch encoder to provide global information for the main branch. …”
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L’utilisation des heuristiques pour la résolution des problèmes de tournées de véhicules by Mohamed Tahar DARBOUCHE

“…Les algorithmes de résolution exacte, ou approchée sont de plus en plus efficaces pour ces problèmes très complexes et vouloir les résoudre de façon exacte peut être voué à l’échec compte tenu de la difficulté de certains d’entre eux. …”
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Point Cloud Geometry Scalable Coding Using a Resolution and Quality-Conditioned Latents Probability Estimator by Daniele Mari, Andre F. R. Guarda, Nuno M. M. Rodrigues, Simone Milani, Fernando Pereira

“…Experimental results obtained by integrating SRQH in the emerging JPEG Pleno learning-based PC coding standard show that SRQH allows decoding the PC at different qualities and resolutions with a single bitstream while incurring only in a limited RD penalty and increment in complexity w.r.t. non-scalable JPEG PCC that would require one bitstream per coding configuration.…”
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DE-Unet: Dual-Encoder U-Net for Ultra-High Resolution Remote Sensing Image Segmentation by Ye Liu, Shitao Song, Miaohui Wang, Hao Gao, Jun Liu

“…While recent transformer-based methods can effectively capture global contextual information, they suffer from high computational complexity, particularly when it comes to ultra-high resolution (UHR) remote sensing images, it is even more challenging for these methods to achieve a satisfactory balance between accuracy and computation speed. …”
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