A novel Otsu-UNet coupling approach to extract cage aquaculture in changing bay environments by Peng Wang, Jinliang Huang, Shengyue Chen, Shuyao Gao, Jingyu Lin, Yancheng Tao

“…To address this challenge, we developed a novel classification method called Otsu-UNet by integrating the Otsu algorithm with the U-shaped Network method. Based on the Google Earth Engine platform, cage aquaculture data were autonomously extracted from Sentinel-2 imagery using the Otsu technique, and high-quality samples were curated to train the UNet model for cage aquaculture extraction across bay locales. …”
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Folded Context Condensation in Path Integral Formalism for Infinite Context Transformers by Won-Gi Paeng, Daesuk Kwon, Kyungwon Jeong, Honggyo Suh

“…In this work, we present a generalized formulation of the Transformer algorithm by reinterpreting its core mechanisms within the framework of Path Integral formalism. …”
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An explainable transformer model for Alzheimer’s disease detection using retinal imaging by Saeed Jamshidiha, Alireza Rezaee, Farshid Hajati, Mojtaba Golzan, Raymond Chiong

“…The Retformer model outperforms a variety of benchmark algorithms across different performance metrics by margins of up to 11%.…”
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Retrieving Inland Water Quality Parameters via Satellite Remote Sensing: Sensor Evaluation, Atmospheric Correction, and Machine Learning Approaches by Mohsen Ansari, Anders Knudby, Meisam Amani, Michael Sawada

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Drought Amplifies the Suppressive Effect of Afforestation on Net Primary Productivity in Semi-Arid Ecosystems: A Case Study of the Yellow River Basin by Futao Wang, Ziqi Zhang, Mingxuan Du, Jianzhong Lu, Xiaoling Chen

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Characterization of Irrigated Rice Cultivation Cycles and Classification in Brazil Using Time Series Similarity and Machine Learning Models with Sentinel Imagery by Andre Dalla Bernardina Garcia, Ieda Del’Arco Sanches, Victor Hugo Rohden Prudente, Kleber Trabaquini

“…The mapping and monitoring of rice fields on a large scale using medium and high spatial resolution data (<10 m) is essential for efficient agricultural management and food security. …”
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The Impact of Atmospheric Rivers on Precipitation and Their Contribution to Crustal Deformation in Greenland, 2010 to 2019 by Wenhao Li, Xinyu Qin, Tingting Zhu, Jintao Lei, C. K. Shum, Fei Li, Shengkai Zhang

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Experimental Study on Glass Deformation Calculation Using the Holographic Interferometry Double-Exposure Method by Yucheng Li, Yang Zhang, Deyu Jia, Song Gao, Muqun Zhang

“…This approach (1) eliminates object wave amplitude interference via dual-exposure superposition, establishing submicron linear mapping between fringe displacement and deformation amplitude; (2) introduces a fringe gradient-based direction detection algorithm resolving deformation vector ambiguity; and (3) implements an error-compensated fusion framework integrating theoretical modeling, MATLAB 2015b simulations, and experimental validation. …”
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Integration of Structural Characteristics from GEDI Waveforms for Improved Forest Type Classification by Mary M. McClure, Satoshi Tsuyuki, Takuya Hiroshima

“…Despite the overlap amongst the original clusters, the averages of structural characteristics were significantly different across all but five metrics. The labeled clusters were then further refined and used as training data to generate a wall-to-wall forest cover type map by classifying biannual images. …”
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A Random Degradation Aggregation Network With Temporal-Spatial Attention for Satellite Video Super-Resolution by Lu Li, Mi Wang, Yingdong Pi

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Optimized Landing Site Selection at the Lunar South Pole: A Convolutional Neural Network Approach by Yongjiu Feng, Haoteng Li, Xiaohua Tong, Pengshuo Li, Rong Wang, Shurui Chen, Mengrong Xi, Jingbo Sun, Yuhao Wang, Huaiyu He, Chao Wang, Xiong Xu, Huan Xie, Yanmin Jin, Sicong Liu

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Robust Drone Video Analysis for Occluded Urban Traffic Monitoring Based on Deep Learning by Carlos Gellida-Coutino, Reyes Rios-Cabrera, Alan Maldonado-Ramirez, Anand Sanchez-Orta

“…Experimental validation across 27 hours of drone footage from high-traffic intersections demonstrates the efficacy of the method for multi-directional flow analysis. …”
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Analyzing the Impact of Organic Food Consumption on Citizens Health Using Unsupervised Machine Learning by Giulio Angiolini, Giovanna Maria Dimitri

“…The clustering analysis performed year-by-year on three variables across European nations using the Affinity Propagation algorithm revealed that two clusters consistently maximized the Global Multiplexity Index over time. …”
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Method for building segmentation and extraction from high-resolution remote sensing images based on improved YOLOv5ds. by Fangzhe Chang, Tianyue Ma, Dantong Wang, Shoujie Zhu, Dengping Li, Shuntian Feng, Xiaoyong Fan

“…This approach enables effective segmentation of Gaofen-2 images, achieving detailed results at the individual building scale across urban areas and facilitating rapid contour optimization and extraction. …”
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Improved YOLOv5: Efficient Object Detection for Fire Images by Dongxing Yu, Shuchao Li, Zhongze Zhang, Xin Liu, Wei Ding, Xinyi Zhao

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Using a Camera System for the In-Situ Assessment of Cordon Dieback due to Grapevine Trunk Diseases by Julie Tang, Olivia Yem, Finn Russell, Cameron A. Stewart, Kangying Lin, Hiranya Jayakody, Matthew R. Ayres, Mark R. Sosnowski, Mark Whitty, Paul R. Petrie

“…The computer vision algorithms were implemented within the phone, allowing real-time assessment and row-level mapping with nothing more than a high-end mobile phone. …”
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Effect of DEM Used for Terrain Correction on Forest Windthrow Detection Using COSMO SkyMed Data by Michele Dalponte, Daniele Marinelli, Yady Tatiana Solano-Correa

“…The findings revealed significant variations in windthrow detection across the ten corrections. The detailed LiDAR-derived terrain model (i.e., DTM at 2 m pixel spacing) emerged as the optimal choice for both pixel spacings considered.…”
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Tomato Leaf Disease Identification Framework FCMNet Based on Multimodal Fusion by Siming Deng, Jiale Zhu, Yang Hu, Mingfang He, Yonglin Xia

“…This module generates visual representations compatible with Bert embeddings by utilizing block segmentation and feature mapping techniques. Additionally, it incorporates a probability-based weighting mechanism to achieve enhanced multimodal fusion, significantly strengthening the model’s comprehension of semantic relationships across different modalities. …”
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Development and clinical application of an automated machine learning-based delirium risk prediction model for emergency polytrauma patients by Zhenyi Liu, Yihao Huang, Long Li, Yisha Xu, Peng Wu, Zhigang Zhang, Tingyong Han, Liangjie Zhang, Ming Zhang

“…ObjectiveTo address the limitations of conventional delirium prediction models in emergency polytrauma care, this study developed an interpretable machine learning (ML) framework incorporating trauma-specific biomarkers and advanced optimization algorithms for risk stratification of delirium in emergency polytrauma patients.MethodsThis multi-center retrospective observational cohort study was conducted across six hospitals in the Ya’an region. …”
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HRMS-SCD:A High-Resolution Multi-Scene Satellite Imagery Dataset for Comprehensive Land-Cover Semantic Change Detection by P. Guo, P. Guo, S. Yang, H. Zhang, X. Huang, X. Ning, Y. Han, R. Zhang, M. Hao

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