Programmable friction control in 3D printed patterned multi-materials: a flexible design strategy by Xinle Yao, Yuxiong Guo, Mingyang Wang, Yaozhong Lu, Zhibin Lu, Xin Jia, Yu Gao, Xiaolong Wang

“…This system flexibly integrates polyimide (PI), PI-graphite (3 wt%), and PI-PTFE (10 wt%) composites via planetary ball milling, leveraging their individual tribological characteristics to achieve predictable and controllable friction performance. …”
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Hydrological Impact of Remotely Sensed Interannual Vegetation Variability in the Upper Colorado River Basin by Qianqiu Longyang, Ruijie Zeng

“…Abstract Vegetation plays a crucial role in atmosphere‐land water and energy exchanges, global carbon cycle and basin water conservation. Land Surface Models (LSMs) typically represent vegetation characteristics by monthly climatological indices. …”
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$$\alpha$$ -decay half-life predictions with support vector machine by Amir Jalili, Feng Pan, Jerry P. Draayer, Ai-Xi Chen, Zhongzhou Ren

“…Our approach integrates a comprehensive set of physics-derived features, including characteristics derived from nuclear structure, to systematically evaluate their impact on predictive accuracy. …”
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Oriented ice eddy detection network based on the Sentinel-1 dual-polarization data by Jinqun Wu, Jinqun Wu, Yiqin Zheng, Tingting Wang, Chunyong Ma, Chunyong Ma, Ge Chen, Ge Chen

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Non-Destructive Detection Method of Apple Watercore: Optimization Using Optical Property Parameter Inversion and MobileNetV3 by Zihan Chen, Haoyun Wang, Jufei Wang, Huanliang Xu, Ni Mei, Sixu Zhang

“…Test results of this study confirmed the effectiveness and lightweight characteristics of the method that combines optical property parameter inversion, the DC-MobileNetV3 model, and transfer learning for detecting apple watercore. …”
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Identification of mesoscale eddies based on improved YOLOv8 model: a case study in the South China Sea by Jianhao Gao, Jianhao Gao, Jianhao Gao, Feng Zhou, Feng Zhou, Feng Zhou, Di Tian, Di Tian, Muping Zhou, Muping Zhou, Hailong Guo

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A Review of Research on Cloud Detection Methods for Hyperspectral Infrared Radiances by Zhuoya Ni, Mengdie Wu, Qifeng Lu, Hongyuan Huo, Chunqiang Wu, Ruixia Liu, Fu Wang, Xiaoying Xu

“…Cloud-clearing methods are used to reconstruct clear-column radiance for cloudy observations. Deep learning cloud detection methods can quickly learn the mapping relationship between infrared hyperspectral radiation characteristics and FOV cloud distribution from a large amount of infrared radiative information with known FOV cloud labels. …”
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Benchmarking CNN Architectures for Tool Classification: Evaluating CNN Performance on a Unique Dataset Generated by Novel Image Acquisition System by Muhenad Bilal, Ranadheer Podishetti, Daniel Grossmann, Markus Bregulla

“…In this study, we introduce the ToolSurface-144 dataset, which is presented here for the first time. …”
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Visible transparency modulated cooling windows using pseudorandom dielectric multilayers by Seo Seok-Beom, Lee Jong-Goog, Yu Jae-Seon, Kim Jae-Hyun, Jung Serang, Kang Gumin, Ko Hyungduk, Hu Run, Lee Eungkyu, Kim Sun-Kyung

“…These findings suggest that all-dielectric multilayers can provide a scalable, cost-effective alternative for reducing energy consumption in buildings and vehicles with large glass surfaces, supporting efforts to mitigate climate change through enhanced energy efficiency.…”
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ENSO Forecasts With Spatiotemporal Fusion Transformer Network by Anming Zhao, Mengjiao Qin, Sensen Wu, Renyi Liu, Zhenhong Du

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Efficient prediction of aerodynamic forces in rarefied flow using convolutional neural network based multi-process method by Haifeng Huang, Guobiao Cai, Chuanfeng Wei, Baiyi Zhang, Xiang Cui, Yongjia Zhao, Huiyan Weng, Weizong Wang, Lihui Liu, Bijiao He

“…The SFP is designed to bridge the gap between flow field and surface forces, with two characteristics extraction methods developed specifically for this purpose. …”
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A Method for Identifying Landslide-Prone Areas Using Multiple Factors and Adaptive Probability Thresholds: A Case Study in Northern Tongren, Longwu River Basin, Qinghai Province by Jiawen Bao, Xiaojun Luo, Yueling Shi, Mingyue Hou, Jichao Lv, Guoxiang Liu

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Assessing Drone-Based Remote Sensing for Monitoring Water Temperature, Suspended Solids and CDOM in Inland Waters: A Global Systematic Review of Challenges and Opportunities by Shannyn Jade Pillay, Tsitsi Bangira, Mbulisi Sibanda, Seifu Kebede Gurmessa, Alistair Clulow, Tafadzwanashe Mabhaudhi

“…In particular, the review comprehensively analyses the potential advancements in utilising drone technology along with machine learning algorithms, platform type, sensor characteristics, statistical metrics, and validation techniques for monitoring these water quality parameters. …”
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Optimized landslide susceptibility prediction based on SBAS-InSAR: case study of the Jiuzhaigou Ms7.0 earthquake by Shiqian Yin, Zebing Dai, Ying Zeng

“…Comparing the model performance with the receiver operating characteristic curve and landslide density, the reliability and prediction performance of the RF-I model are outstanding, reflecting that the improved method based on the InSAR collaborative machine learning model with shape variables along the slope direction can optimize the accuracy of the LSM, and has better performance and robustness in earthquake landslide susceptibility evaluation.…”
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Urban morphology impacts on urban microclimate using artificial intelligence – a review by Ahmed Marey, Jiwei Zou, Sherif Goubran, Liangzhu Leon Wang, Abhishek Gaur

“…Urban morphology, defined by the characteristics and spatial arrangement of urban structures, significantly affects urban microclimate in terms of thermal environments, wind dynamics, energy use, and outdoor air quality. …”
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Automatic Segmentation of the Infraorbital Canal in CBCT Images: Anatomical Structure Recognition Using Artificial Intelligence by Ismail Gumussoy, Emre Haylaz, Suayip Burak Duman, Fahrettin Kalabalık, Muhammet Can Eren, Seyda Say, Ozer Celik, Ibrahim Sevki Bayrakdar

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Mapping of Agate-like Soil Cover Structures Based on a Multitemporal Soil Line Using Neural Network Filtering of Remote Sensing Data by Dmitry I. Rukhovich, Polina V. Koroleva, Alexey D. Rukhovich, Mikhail A. Komissarov

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Predicting the Rheological Performance of Self-Compacting Mortar and Concrete Using Artificial Neural Network by Andreas Kounadis, Angelos Galatis, Agapoula Papakonstantinou, Efstratios Badogiannis

“…A prediction model was developed in this study to assess the suitability of mix designs to produce robust and stable SCC with desired viscosity and yield stress characteristics. Utilizing artificial neural network technique, a powerful machine learning tool for solving complex nonlinear problems, bibliographic and experimental data on composition proportions and material properties were collected. …”
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A Study of Landslide Susceptibility Assessment and Trend Prediction Using a Rule-Based Discrete Grid Model by Yanjun Duan, Xiaotong Zhang, Wenbo Zhao, Xinpei Han, Lingfeng Lv, Yunjun Yao, Kun Jia, Qiao Wang

“…In this study, a landslide susceptibility (LS) model was developed using an ensemble machine learning (ML) approach which integrates geological and geomorphological data, hydrological data, and remote sensing data. …”
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Winter Wheat Yield Prediction Based on the ASTGNN Model Coupled with Multi-Source Data by Zhicheng Ye, Xu Zhai, Tianlong She, Xiaoyan Liu, Yuanyuan Hong, Lihui Wang, Lili Zhang, Qiang Wang

“…Timely and accurate prediction of winter wheat yields, which is crucial for optimizing production management, maintaining supply–demand balance, and ensuring food security, depends on interactions among numerous factors, such as climate, surface characteristics, and soil quality. Despite the extensive application of deep learning models in this field, few studies have analyzed the effect of the large-scale geospatial characteristics of neighboring regions on crop yields. …”
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