Data-driven cultural background fusion for environmental art image classification: Technical support of the dual Kernel squeeze and excitation network. by Chenchen Liu, Haoyue Guo

“…This study aims to explore a data-driven cultural background fusion method to improve the accuracy of environmental art image classification. …”
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Development of a Weighted Average Ensemble Model for Predicting Officially Assessed Land Prices Using Grid Map Data and SHAP by Surin Im, Kangmin Kim, Geunhee Lee, Hoi-Jeong Lim

“…The findings provide valuable insights for data-driven policy formulation and the evaluation of the real estate market.…”
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Machine learning-based mapping of Acidobacteriota and Planctomycetota using 16 S rRNA gene metabarcoding data across soils in Russia by E. A. Ivanova, A. R. Suleymanov, D. A. Nikitin, M. V. Semenov, E. V. Abakumov

“…This study aimed to investigate the spatial distribution patterns of Acidobacteriota and Planctomycetota across soils in Russia, summarizing data from 16S rRNA gene metabarcoding of topsoils. …”
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Objective and Intelligent Acquisition of Two Types of Decision Data Based on Online Comment Information and Its Application in Emergency Decision-Making by Ruipu Tan, Lehua Yang, Jing Li

“…Python programming was then used to capture the big data of social media comments on emergencies in real time to obtain multisource comment data, which were preprocessed and visualized. …”
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Advanced skin cancer prediction with medical image data using MobileNetV2 deep learning and optimized techniques by Tuğçe Öznacar, Nuray Varol Kayapunar

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Classification and Carbon-Stock Estimation of Mangroves in Dongzhaigang Based on Multi-Source Remote Sensing Data Using Google Earth Engine by Ruiwen Zhang, Jianchao Fan

“…The study quantifies and visualizes the carbon stock of different mangrove species in Dongzhaigang, revealing that the region’s annual carbon stock totals 302,558.77 t. …”
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Impaired postural control in healthy men at moderate altitude (1630 m and 2590 m): data from a randomized trial. by Katrin Stadelmann, Tsogyal D Latshang, Christian M Lo Cascio, Ross A Clark, Reto Huber, Malcolm Kohler, Peter Achermann, Konrad E Bloch

“…<h4>Conclusions</h4>Exposure to 1630 and 2590m was associated with impaired static postural control even when visual references were available.<h4>Trial registration</h4>ClinicalTrials.gov NCT01130948.…”
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Acoustic Sediment Classification Using High-Frequency (400 kHz) Multibeam Data in Pari Water of Seribu Island, Indonesia by Dadang Handoko, Henry Munandar Manik, Totok Hestirianoto, Karlisa Priandana, Rozaimi Che Hasan

“…Therefore, this study aimed to classify seafloor sediment in the Pari water, Indonesia using high-frequency (400 kHz) backscatter data obtained through the Multibeam Echosounder T-50P. …”
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A data-driven analysis of emergency first responder education on substance use and stress management across demographic and professional backgrounds by Francine R. Vega, Audrey Lopez, Vicky Beakley, A. Sarah Cohen, Tiffany Champagne-Langabeer

“…Data from the courses was merged into a single file and analyzed using descriptive statistics. …”
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Exploring the Spatial Distribution Characteristics and Correlation Factors of Wayfinding Performance on City-Scale Road Networks Based on Massive Trajectory Data by Jun Li, Yan Zhu, Zhenwei Li, Wenle Lu, Yang Ji, Xiao Sang

“…This paper proposes a quantitative and population-based evaluation method of wayfinding performance on city-scale road networks based on massive trajectory data. It can accurately compute and visualize the magnitude and spatial distribution differences of drivers’ wayfinding performance levels, which is not achieved by conventional methods based on small samples. …”
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Retrieving total transpirable soil water in a rainfed vineyard using vine shoot growth, weather, and Sentinel-2 data by Yulin Zhang, Léo Pichon, Sébastien Roux, Anne Pellegrino, Guillaume Coulouma, Bruno Tisseyre

“…This study proposes a low-cost, scalable methodology for TTSW estimation, adapting an Inverse Modeling approach to incorporate accessible data sources: vine shoot growth indices based on simple visual observations, weather data, and Sentinel-2 imagery. …”
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Assessing Building Seismic Exposure Using Geospatial Technologies in Data-Scarce Environments: Case Study of San José, Costa Rica by Javier Rodríguez-Saiz, Beatriz González-Rodrigo, Juan Gregorio Rejas-Ayuga, Diego A. Hidalgo-Leiva, Miguel Marchamalo-Sacristán

“…Despite this trend, seismic exposure assessments have predominantly focused on cities in high-income countries, leaving a knowledge gap in data-scarce, seismically active urban areas. This research presents a novel, scalable geospatial methodology for seismic exposure assessment in contexts with limited data availability and its application to San José, Costa Rica, evaluating its time and cost efficiency. …”
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A Robust Multispectral Reconstruction Network from RGB Images Trained by Diverse Satellite Data and Application in Classification and Detection Tasks by Xiaoning Zhang, Zhaoyang Peng, Yifei Wang, Fan Ye, Tengying Fu, Hu Zhang

“…However, the relatively high cost of multispectral sensors and lower spatial resolution limit the widespread application of multispectral data, and existing reconstruction algorithms suffer from a lack of diverse training datasets and insufficient reconstruction accuracy. …”
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Determining Average Available Workdays for Roadway Construction Projects Using Long-Term Weather Data—A Case Study for Alabama by Esthefany Marien Mejia Reyes, Xing Fang, Michael A. Perez

“…Excel spreadsheet tools with Visual Basic for Applications (VBA) programs were developed to process the downloaded long-term weather data with two different formats. …”
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An Improved COLD Approach for Monitoring Construction Dynamics Using HLS and LULC Data: A Case Study in the New Capital of Egypt by M. Abdallah, M. Abdallah, M. Abdallah, E. Ali, E. Ali, X. Ding, X. Ding, S. Wu, S. Wu

“…The Continuous Monitoring of Land Disturbances (COLD) algorithm is a widely used method for detecting rapid ground changes using Harmonized Landsat and Sentinel (HLS) data. Despite its advancements, change detection accuracy is often limited by frequent ground alterations, such as large-scale construction during urbanization. …”
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Integrating Transcriptomic and Proteomic Data: IL‐27B as a Key Protein in the Development of Septic Cardiomyopathy—A Retrospective Study by Yifeng Mao, Qingqing Chen, Yongpo Jiang, Xijiang Zhang, Qin Si, Panpan Xu, Zhongheng Zhang, Cheng Zheng, Ronghai Lin

“…By integrating proteomic and transcriptomic data, molecular networks were constructed to visualize interactions among key molecules, aiming to enhance data interpretation and support the study's findings. …”
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Integration of multi-omics data reveals dysregulated RNA methylation in retinal pigment epithelium drives age-related macular degeneration by Ya-Jun Gong, Zhi-Lin Zou, Kai-Rui Qiu, Qiang Wang, Xiao-Lai Zhou

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Three-dimensional analysis of facial morphology in nine-year-old children with different unilateral orofacial clefts compared to normative data by Marjolein Crins-de Koning, Robin Bruggink, Marloes Nienhuijs, Till Wagner, Ewald M. Bronkhorst, Edwin M. Ongkosuwito

“…Aim To compare three-dimensional (3D) facial morphology of various unilateral cleft subphenotypes at 9-years of age to normative data using a general face template and automatic landmarking. …”
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Machine learning for predicting neoadjuvant chemotherapy effectiveness using ultrasound radiomics features and routine clinical data of patients with breast cancer by Pu Zhou, Pu Zhou, Hongyan Qian, Pengfei Zhu, Jiangyuan Ben, Jiangyuan Ben, Guifang Chen, Qiuyi Chen, Lingli Chen, Jia Chen, Ying He, Ying He

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Interchangeability of Cross-Platform Orthophotographic and LiDAR Data in DeepLabV3+-Based Land Cover Classification Method by Shijun Pan, Keisuke Yoshida, Satoshi Nishiyama, Takashi Kojima, Yutaro Hashimoto

“…A validated airborne LiDAR bathymetry system (ALB) and a UAV-borne green LiDAR System (GLS) were applied in this study for cross-platform analysis of LCC. Furthermore, LiDAR data were visualized using high-contrast color scales to improve the accuracy of land cover classification methods through image fusion techniques. …”
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