Evaluating the Signal Contribution of the DTU21MSS on Coastal Mean Dynamic Topography and Geostrophic Current Modeling: A Case Study in the African–European Region by Hongkai Shi, Xiufeng He, Ole Baltazar Andersen

“…With the accumulation of synthetic aperture radar (SAR) altimetry data and advancements in retracking algorithms, the improved along-track spatial resolution and signal-to-noise ratio have significantly enhanced the availability and precision of sea surface height (SSH) measurements, particularly in challenging environments such as coastal areas, ocean currents, and polar regions. …”
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A systematic review of Machine Learning and Deep Learning approaches in Mexico: challenges and opportunities by José Luis Uc Castillo, Ana Elizabeth Marín Celestino, Diego Armando Martínez Cruz, José Tuxpan Vargas, José Alfredo Ramos Leal, Janete Morán Ramírez

“…This review article aimed to provide comprehensive information on the Machine Learning and Deep Learning algorithms applied in Mexico. A total of 120 original research papers were included and details such as trends in publication, spatial location, institutions, publishing issues, subject areas, algorithms applied, and performance metrics were discussed. …”
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Baseflow characteristics and drivers in headwater catchment of the Yellow River, Tibetan Plateau by Jiao Zhang, Yu Lan, Xinsen Chen, Yuhua Tan, Tong Wu, Shixuan Lyu, Yuyan Zhou, Yongqiang Zhang, Lei Cheng, Yun Chen, Junlong Zhang

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Urban Tree Canopy Mapping and Analysis Using Iterative Annotation Method and Deep Learning: A Case Study in Beijing by Yulong Ding, Ximin Cui, Zhengchao Chen, Zeqing Wang, Debao Yuan, Xiang Meng, Xuan Yang, Yue Xu, Xiangyu Tian

“…However, existing studies primarily rely on medium-resolution to low-resolution imagery for large-scale extraction or high-resolution imagery for small-scale extraction, making it challenging to balance spatial coverage and accuracy. To comprehensively analyze the tree canopy characteristics of urban trees across large areas, this study selects Beijing as the research area, and employs high-resolution remote sensing imagery with deep learning techniques to construct the UTC map of Beijing. …”
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Enhancing Transpiration Estimates: A Novel Approach Using SIF Partitioning and the TL-LUE Model by Tewekel Melese Gemechu, Baozhang Chen, Huifang Zhang, Junjun Fang, Adil Dilawar

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Recent developments of artificial intelligence methods for sea ice concentration monitoring using high-resolution imaging datasets by Marzuraikah Mohd Stofa, Siti Raihanah Abdani, Asraf Mohamed Moubark, Muhammad Ammirrul Atiqi Mohd Zainuri, Ahmad Asrul Ibrahim, Nor Azwan Mohamed Kamari, Mohd Asyraf Zulkifley

“…These datasets include comprehensive spatial information, which is essential for accurate sea ice mapping and categorisation. …”
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Prediction of canopy mean traits in herbaceous plants by the UAV multispectral data: The quest for a better leaf-to-canopy upscaling method by Yuanqi Shan, Yunlong Yao, Lei Wang, Zhihui Wang, Huaihu Yi, Yi Fu, Weineng Li, Xuguang Zhang, Wenji Wang, Zhongwei Jing

“…Accurate trait prediction is critical for biodiversity conservation, yet research on canopy traits in heterogeneous wetlands with complex species mixtures remains scarce. …”
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UAV-Multispectral Based Maize Lodging Stress Assessment with Machine and Deep Learning Methods by Minghu Zhao, Dashuai Wang, Qing Yan, Zhuolin Li, Xiaoguang Liu

“…This study aims to introduce advanced DL algorithms into the maize lodging classification task using UAV-multispectral images and investigate the advantages of DL compared with traditional ML methods. …”
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Study on Correction Methods for GPM Rainfall Rate and Radar Reflectivity Using Ground-Based Raindrop Spectrometer Data by Lin Chen, Huige Di, Dongdong Chen, Ning Chen, Qinze Chen, Dengxin Hua

“…The Dual-frequency Precipitation Radar (DPR) aboard the Global Precipitation Measurement (GPM) mission provides valuable three-dimensional precipitation structure data on a global scale and has been widely used in hydrometeorological research. However, due to its spatial resolution limitations and inherent algorithmic assumptions, the accuracy of GPM precipitation estimates can exhibit systematic biases, especially under complex terrain conditions or in the presence of variable precipitation structures, such as light stratiform rain or intense convective storms. …”
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A human visual cognitive mechanism based network for surface defect detection(基于人类视觉认知机制的表面缺陷检测) by 崔丽莎(CUI Lisha), 代润鹏(DAI Runpeng), 姜晓恒(JIANG Xiaoheng), 李飞蝶(LI Feidie), 陈恩庆(CHEN Enqing), 徐明亮(XU Mingliang)

“…Specifically, at the macro level, by simulating the working principles of the foveal and parafoveal areas on the retina, a parallel backbone network consisting of a foveal vision branch and a peripheral vision branch is proposed, learning high spatial frequency local details and low spatial frequency global semantics from defective images. …”
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Cellular hierarchy framework based on single-cell and bulk RNA sequencing reveals fatty acid metabolic biomarker MYDGF as a therapeutic target for ccRCC by Ning Wang, Ziyu Xu, Lina Zhang, Lina Zhang, Yanfang Lu, Yanfang Lu, Yanliang Wang, Yanliang Wang, Lei Yan, Lei Yan, Huixia Cao, Huixia Cao, Limeng Wang, Limeng Wang, Fengmin Shao, Fengmin Shao

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Temporal Vine Water Status Modeling Through Machine Learning Ensemble Technique and Sentinel-2 Multispectral Images Under Semi-Arid Conditions by Vincenzo Giannico, Simone Pietro Garofalo, Luca Brillante, Pietro Sciusco, Mario Elia, Giuseppe Lopriore, Salvatore Camposeo, Raffaele Lafortezza, Giovanni Sanesi, Gaetano Alessandro Vivaldi

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Quantifying the Unknowns of Plaque Morphology: The Role of Topological Uncertainty in Coronary Artery Disease by Yashbir Singh, ME, PhD, Quincy A. Hathaway, MD, PhD, Karthik Dinakar, PhD, Leslee J. Shaw, PhD, Bradley Erickson, MD, PhD, Francisco Lopez-Jimenez, MD, MBA, MSc, Deepak L. Bhatt, MD, MPH, MBA

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Visual Automatic Localization Method Based on Multi-level Video Transformer by Qiping ZOU, Botao LI, Saian CHEN, Xi GUO, Taohong ZHANG

“…This approach incorporates advanced image processing techniques to analyze video sequences captured by the industrial camera. Sophisticated algorithms enable the system to identify the frame with optimal clarity and sharpness. …”
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Intelligent prediction method for fire temperature fields in underground exhibition spaces of high-intensity urban areas by Yuan Shi, Yang Zhou, Guanhua Qu, Lan Wang, Rong Wang, Zenghui Liu

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THE POSTMODERN CITY TEXT IN SERHIY ZHADAN’S POETICS by Tetiana M. Starostenko., Ianina V. Gurtova

“…The urban chronotope is marked by location points, endemic for the writer: numerous spatial models of the railway stations, representing a gallery of social characters and algorithms of criminal schemes; bus routes, city transport, personified and serving as the “bodily organs” of the city; industrial facilities; monuments to Soviet leaders; hotels; zoo-images. …”
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Corn Plant In-Row Distance Analysis Based on Unmanned Aerial Vehicle Imagery and Row-Unit Dynamics by Marko M. Kostić, Željana Grbović, Rana Waqar, Bojana Ivošević, Marko Panić, Antonio Scarfone, Aristotelis C. Tagarakis

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Intercomparison and Validation of MIRS, MSPPS, and IMS Snow Cover Products by Jessica Chiu, Stephany Paredes-Mesa, Tarendra Lakhankar, Peter Romanov, Nir Krakauer, Reza Khanbilvardi, Ralph Ferraro

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Automatic Detection for Mining Subsidence Areas Using the CBAM-Enhanced VGG-UNet Model With Long Time Series InSAR Interferograms by Kegui Jiang, Keming Yang, Mengting Gao, Liuguo Zhu, Chuang Jiang

“…The technical theories of monitoring and preventing mining subsidence have long been key challenges and research priorities in the mining field. The rapid advancements in remote sensing technology and deep learning algorithms have enabled significant breakthroughs in monitoring and accurately identifying mining subsidence. …”
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Advanced Learning Technologies for Intelligent Transportation Systems: Prospects and Challenges by Ruhul Amin Khalil, Ziad Safelnasr, Naod Yemane, Mebruk Kedir, Atawulrahman Shafiqurrahman, NASIR SAEED

“…Intelligent Transportation Systems (ITS) operate within a highly intricate and dynamic environment characterized by complex spatial and temporal dynamics at various scales, further compounded by fluctuating conditions influenced by external factors such as social events, holidays, and weather. …”
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