Flood prediction in urban areas based on machine learning considering the statistical characteristics of rainfall by Se-Dong Jang, Jae-Hwan Yoo, Yeon-Su Lee, Byunghyun Kim

“…Urbanization has increased impervious surfaces, while climate change has intensified rainfall, leading to more frequent urban flooding. …”
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Ultrasensitive Isomer Discrimination: A Joint Surface‐Enhanced Raman Scattering (SERS) Spectroscopy and Machine Learning Strategy by Verónica Montes‐García, Victor F. Martín, Manuel Obelleiro‐Liz, Ignacio Pérez‐Juste, Artur Ciesielski, Paolo Samorì

“…To overcome this grand challenge, a novel sensing strategy is proposed based on surface‐enhanced Raman scattering (SERS) substrates (i.e., plasmonic platforms) combined with machine learning algorithms. …”
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Machine learning shows a limit to rain-snow partitioning accuracy when using near-surface meteorology by Keith S. Jennings, Meghan Collins, Benjamin J. Hatchett, Anne Heggli, Nayoung Hur, Sonia Tonino, Anne W. Nolin, Guo Yu, Wei Zhang, Monica M. Arienzo

“…Abstract Partitioning precipitation into rain and snow with near-surface meteorology is a well-known challenge. However, whether a limit exists to its potential performance remains unknown. …”
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Monitoring Sea Surface Temperature and Sea Surface Salinity Around the Maltese Islands Using Sentinel-2 Imagery and the Random Forest Algorithm by Gareth Craig Darmanin, Adam Gauci, Monica Giona Bucci, Alan Deidun

“…An empirical workflow was implemented to predict the spatial and temporal variations in sea surface salinity and sea surface temperature from 2022 to 2024. …”
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Convolutional neural networks to predict dispersion surfaces-based properties of acoustic metamaterials with arbitrary-shaped unit cells by Amirhossein Farajollahi, Mir Masoud Seyyed Fakhrabadi

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Unsupervised Anomaly Detection on Metal Surfaces Based on Frequency Domain Information Fusion by Wenfei Wu, Tao Tao, Jinsheng Xiao, Yichu Yao, Jianfeng Yang

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Prediction of Surface Water Temperature and Its Spatial-Temporal Variation Characteristics of 11 Main Lakes in Yunnan–Guizhou Plateau by Shanshan Xu, Kun Yang, Xiaolu Zhou, Jie Zhang, Chenghao Yang, Yi Luo

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Comparison of Machine-Learning Algorithms for Near-Surface Air-Temperature Estimation from FY-4A AGRI Data by Ke Zhou, Hailei Liu, Xiaobo Deng, Hao Wang, Shenglan Zhang

“…Six machine-learning approaches, including multivariate linear regression (MLR), gradient boosting decision tree, k-nearest neighbors, random forest, extreme gradient boosting (XGB), and deep neural network (DNN), were compared for near-surface air-temperature (Tair) estimation from the new generation of Chinese geostationary meteorological satellite Fengyun-4A (FY-4A) observations. …”
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Rapid diagnosis of bacterial vaginosis using machine-learning-assisted surface-enhanced Raman spectroscopy of human vaginal fluids by Xin-Ru Wen, Jia-Wei Tang, Jie Chen, Hui-Min Chen, Muhammad Usman, Quan Yuan, Yu-Rong Tang, Yu-Dong Zhang, Hui-Jin Chen, Liang Wang

“…This study aims to develop a novel method for BV detection by integrating surface-enhanced Raman scattering (SERS) with machine learning (ML) algorithms. …”
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Detection of multiple pesticide residues on the surface of broccoli based on hyperspectral imaging by GUI Jiangsheng, GU Min, WU Zixian, BAO Xiao’an

“…Mahalanobis distance (MD), least square support vector machine (LSSVM), artificial neural networks (ANN) and extreme learning machine (ELM) models were created to predict the pesticide residues from full spectra and characteristic wavelengths. …”
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Multi-Channel Fusion Decision-Making Online Detection Network for Surface Defects in Automotive Pipelines Based on Transfer Learning VGG16 Network by Jian Song, Yingzhong Tian, Xiang Wan

“…On an automotive pipeline surface defect dataset, the detection accuracy of the multi-channel fusion decision network with transfer learning was 97.78% and its detection speed was 153.8 FPS. …”
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Automated Global Classification of Surface Layer Stratification Using High‐Resolution Sea Surface Roughness Measurements by Satellite Synthetic Aperture Radar by Justin E. Stopa, Chen Wang, Doug Vandemark, Ralph Foster, Alexis Mouche, Bertrand Chapron

“…These boundaries are identified by the characteristic boundary layer coherent structures that form in these regimes and modulate the surface roughness imaged by the radar. …”
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Automated Fillet Weld Inspection Based on Deep Learning from 2D Images by Ignacio Diaz-Cano, Arturo Morgado-Estevez, José María Rodríguez Corral, Pablo Medina-Coello, Blas Salvador-Dominguez, Miguel Alvarez-Alcon

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The spatiotemporal mechanism of surface compound ozone and heat (SCOH) potential risk across urban China by Yufeng Chi, Kai Wang, Yin Ren, Hong Ye

“…This study deepens the quantification of nonlinear interactions between urban infrastructure and SCOH propagation, the understanding of surface compound ozone and heat, and strengthens key elements and quantification approaches using optimized machine learning. …”
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Replay-Based Incremental Learning Framework for Gesture Recognition Overcoming the Time-Varying Characteristics of sEMG Signals by Xingguo Zhang, Tengfei Li, Maoxun Sun, Lei Zhang, Cheng Zhang, Yue Zhang

“…Gesture recognition techniques based on surface electromyography (sEMG) signals face instability problems caused by electrode displacement and the time-varying characteristics of the signals in cross-time applications. …”
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Deep Learning-Based FSS Spectral Characterization and Cross-Band Migration by Lei Gong, Xuan Liu, Pan Zhou, Liguo Wang, Zhiqiang Yang

“…This paper systematically analyzes the impact of material and geometric parameters of FSSs on their spectral characteristics, thereby establishing a theoretical foundation for the cross-band transfer learning capability of neural networks. …”
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Predicting soil chemical characteristics in the arid region of central Iran using remote sensing and machine learning models by Azita Molaeinasab, Hossein Bashari, Mostafa Tarkesh Esfahani, Saeid Pourmanafi, Norair Toomanian, Bahareh Aghasi, Ahmad Jalalian

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A novel simultaneous monitoring method for surface roughness and tool wear in milling process by Ruilin Liu, Wenwen Tian

“…First, the enhancement layer corresponding to each sub-task in the broad learning system is replaced with a reservoir with echo state characteristics, and through information sharing between sub-tasks and the capture of their respective dynamic characteristics, a broad echo state two-task learning system with incremental learning is constructed. …”
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Temporal and spatial variations of urban surface temperature and correlation study of influencing factors by Lei Ding, Xiao Xiao, Haitao Wang

“…This study investigates the influence of three-dimensional urban form characteristics on LST, using ECOSTRESS sensor data and four machine learning models. …”
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Mask-Space Optimized Transformer for Semantic Segmentation of Lithium Battery Surface Defect Images by Daozong Sun, Jiasi Chen, Peiwen Wu, Yucheng Pan, Hongsheng Zhong, Zihao Deng, Xiuyun Xue

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