Syntheses, Characterization, Resolution, and Biological Studies of Coordination Compounds of Aspartic Acid and Glycine by Temitayo Aiyelabola, Ezekiel Akinkunmi, Isaac Ojo, Efere Obuotor, Clement Adebajo, David Isabirye

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Exploring high-resolution targeting till geochemical data in central Lapland, Finland by Charmee Kalubowila, Pertti Sarala, Solveig Pospiech, Peter Filzmoser

“…The goal of this study is to present a detailed description of the high-resolution targeting till geochemical data, together with data preprocessing and preliminary data analysis. …”
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High-Resolution Collaborative Forward-Looking Imaging Using Distributed MIMO Arrays by Shipei Shen, Xiaoli Niu, Jundong Guo, Zhaohui Zhang, Song Han

“…However, traditional methods are hindered by complex system design, azimuth ambiguity, and low resolution. …”
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Ultra-high-resolution Mass Spectra of Dissolved Organic Matter in the Absorption Mode by Rong QIN, Lun YANG, Qing-long FU

“…Fourier transform ion cyclotron resonance mass spectrometry (FT-ICR MS) is a state-of-the-art technique for the non-targeted analysis of complex organic mixtures such as dissolved organic matter (DOM) at the molecular level, and has been extensively used in the high-throughput analysis of disinfection byproducts (DBPs). …”
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MSRGAN: A Multi-Scale Residual GAN for High-Resolution Precipitation Downscaling by Yida Liu, Zhuang Li, Guangzhen Cao, Qiong Wang, Yizhe Li, Zhenyu Lu

“…To address the challenge of insufficient spatial resolution in remote sensing precipitation data, this paper proposes a novel Multi-Scale Residual Generative Adversarial Network (MSRGAN) for reconstructing high-resolution precipitation images. …”
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Hyperspectral image super-resolution via joint network with spectral-spatial strategy by Yaxin Dong, Bo Yang, Cong Liu, Zemin Geng, Taiping Wang

“…Hyperspectral image (HSI) super-resolution (SR) faces significant challenges due to the inherent difficulty in acquiring large-scale training data and the complex spectral-spatial relationships in HSIs that conventional deep-learning-based methods often fail to fully exploit. …”
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Handwritten W-Net for High-Frequency Guided Single-Image Super-Resolution by Xiang Yang, Chen Fang, Xiaolan Xie, Minggang Dong

“…Super-resolution (SR) imaging involves converting low-resolution images into corresponding high-resolution data in specific scenarios. …”
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CMOS-integrated organic neuromorphic imagers for high-resolution dual-modal imaging by Salihuojia Talanti, Kerui Fu, Xiaolong Zheng, Youzhi Shi, Yimei Tan, Chenxi Liu, Yanfei Liu, Ge Mu, Qun Hao, Kangkang Weng, Xin Tang

“…We further developed a CMOS-compatible photolithography method, which supports high-resolution and non-destructive patterning of organic neuromorphic devices. …”
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A Pipette for High-Resolution Sampling and Delivery of pL Bio-Samples by Ziyang Han, Pengfei Gong, Hengxiang Su, Zehang Gao, Shilun Feng, Jianlong Zhao

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HeRD: Modeling Heterogeneous Degradations for Federated Super-Resolution in Satellite Imagery by Bostan Khan, Seyedhamidreza Mousavi, Masoud Daneshtalab

“…Federated learning (FL) offers a privacy-preserving solution for single-image super-resolution (SR) on sensitive satellite imagery, but its performance is often hindered by simplistic data models. …”
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Multi-Attitude Hybrid Network for Remote Sensing Hyperspectral Images Super-Resolution by Chi Chen, Yunhan Sun, Xueyan Hu, Ning Zhang, Hao Feng, Zheng Li, Yongcheng Wang

“…Benefiting from the development of deep learning, the super-resolution technology for remote sensing hyperspectral images (HSIs) has achieved impressive progress. …”
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Adaptive multichannel detection-resolution of stochastic signals in conditions of parametric prior uncertainty by A. V. Filonovich, I. V. Vornacheva, N. A. Tuyakbasarova, A. S. Chernyshev

“…The purpose of the study is to improve the quality indicators of adaptive multichannel detection-resolution-measurement parameters of stochastic signals under parametric a prior uncertainty.Materials and methods. …”
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Ultrasound super resolution imaging for accurate uterus tumor detection and malignancy prediction by Ashwini Sawant, Sujata Kulkarni, Milind Sawant

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An Omni-Dimensional Dynamic Convolutional Network for Single-Image Super-Resolution Tasks by Xi Chen, Ziang Wu, Weiping Zhang, Tingting Bi, Chunwei Tian

“…Although cnns have considerably improved image reconstruction quality, existing methods still face limitations, including inadequate restoration of high-frequency details, high computational complexity, and insufficient adaptability to complex scenes. …”
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Closing the multichannel gap through computational reconstruction of interaction in super-resolution microscopy by Ben Cardoen, Hanene Ben Yedder, Ivan Robert Nabi, Ghassan Hamarneh

“…Summary: Cellular function is defined by pathways that, in turn, are determined by distance-mediated interactions between and within subcellular organelles, protein complexes, and macromolecular structures. Multichannel super-resolution microscopy (SRM) is uniquely placed to quantify distance-mediated interactions at the nanometer scale with its ability to label individual biological targets with independent markers that fluoresce in different spectra. …”
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Ultrasound super-resolution imaging for non-invasive assessment of microvessel in prostate lesion by Xin Huang, Huarong Ye, Yugang Hu, Yumeng Lei, Yi Tian, Xingyue Huang, Jun Zhang, Yao Zhang, Bin Gui, Qianhui Liu, Ge Zhang, Qing Deng

“…This study aimed to explore the feasibility and clinical value of using ultrasound super-resolution imaging (US SRI) for non-invasively assessing the microvessel characteristics of prostate lesion. …”
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A dynamic molecular landscape in colorectal cancer progression at single-cell resolution by Jianwen Sheng, Nianshuang Li, Shuai Li, Yuman Ye, Yuanhang Liao, Yupeng Zhang, Huan Chen, Mengxian Tu, Guping Zhong, Chaoliang Xiong, Pan Zheng, Yuting Lei, Zekun He, Xingxing He, Yao Zhang, Lei Wang, Xiaolin Gao, Yin Zhu, Jianping Liu, Huizhen Fan

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LENet: A Lightweight and Efficient High-Resolution Network for Human Pose Estimation by Ming Zhang, Xiandong Yu, Wenqiang Li, Xin Shu, Lei Pan, Zhongwei Shen

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Improvement of a Subpixel Convolutional Neural Network for a Super-Resolution Image by Muhammed Fatih Ağalday, Ahmet Çinar

“…Since the super-resolution process is performed in the high-resolution area, it adds a memory cost and computational complexity. …”
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Physical-Abstract Bidirectional-Guided Learning for High-Resolution Radar Target Recognition by Yuying Zhu, Yinan Zhao, Zhaoting Liu, Meilin He

“…Target recognition based on high-resolution radar has garnered increasing attention, with target-aspect sensitivity being one of the primary challenges. …”
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