What Helps to Detect What? Explainable AI and Multisensor Fusion for Semantic Segmentation of Simultaneous Crop and Land Cover Land Use Delineation by Saman Ebrahimi, Saurav Kumar

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Integrated framework for assessing green efficiency in European union countries: A hybrid ISM-NDEA approach by Afarin Rezaei, Hoda Moradi, Alireza Anvari

“…Recognizing the need for a method to assess environmental and economic efficiency, this study introduces an innovative hybrid approach that combines Interpretive Structural Modeling (ISM) with Network Data Envelopment Analysis (NDEA), offering a refined framework for measuring green efficiency that addresses both environmental and economic dimensions. …”
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Cognitive Computing with Large Language Models for Student Assessment Feedback by Noorhan Abbas, Eric Atwell

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Modeling Regional ESG Performance in the European Union: A Partial Least Squares Approach to Sustainable Economic Systems by Ioana Birlan, Adriana AnaMaria Davidescu, Catalina-Elena Tita, Tamara Maria Nae

“…This study aims to evaluate the sustainability performance of EU regions through a comprehensive and data-driven Environmental, Social, Governance (ESG) framework, addressing the increasing demand for regional-level analysis in sustainable finance and policy design. …”
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Multivariate Modelling and Prediction of High-Frequency Sensor-Based Cerebral Physiologic Signals: Narrative Review of Machine Learning Methodologies by Nuray Vakitbilir, Abrar Islam, Alwyn Gomez, Kevin Y. Stein, Logan Froese, Tobias Bergmann, Amanjyot Singh Sainbhi, Davis McClarty, Rahul Raj, Frederick A. Zeiler

“…Additionally, machine learning models offer great flexibility, allowing different models to be combined synergistically to address complex challenges in sensor-based data analysis. Ensemble learning techniques, which aggregate predictions from diverse models, further enhance predictive accuracy and robustness. …”
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Assessment of avalanche runout distance at Krasnaya Polyana in the absence of direct observational data by E. D. Zhukova, A. S. Turchaninova, N. V. Kovalenko, D. A. Petrakov

“…The purpose of this work was the effort to estimate the distance of snow avalanche runout on the undeveloped slope of the Aibga ridge in Krasnaya Polyana using the landscape-indicative method together with statistical analysis and numerical simulation.   The approach to solving this problem is considered, combining: analysis of snow depth data and information about avalanches in the adjacent territory, identification of phyto-indicative evidences of the avalanche activity obtained during field observations and analysis of remote sensing data. …”
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Hybrid Products for Enhanced and Unified Full and Compact Polarimetric SAR Data Exploitations by Ramin Sabry

“…A synthetic aperture radar (SAR) data analytic methodology that serves a variety of exploitation objectives is developed within a unified polarimetric framework. …”
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Dynamics of Police, Prosecutor, and Court Collaboration in Online Data Storage and Case Filing by Hendry Prayuda, Kgs M. Sobri, Sriati Sriati, Raniasa Putra

“…The research methods used include case studies, surveys, and qualitative data analysis. The results highlighted the challenges and barriers faced in the implementation of the online-based system, including technical, legal, and organizational culture aspects. …”
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A spatial clustering-based approach to design monitoring networks of infectious diseases: a case study of hand, foot, and mouth disease by Shuting Li, Yuanhua Liu, Ke Li, Zengliang Wang, Michael P. Ward, Wei Tu, Jiayao Xu, Rui Yuan, Lele Zhang, Na Wang, Jidan Zhang, Yu Zhao, Henry S. Lynn, Zhaorui Chang, Zhijie Zhang

“…First, we used Spatial Kluster Analysis by Tree Edge Removal (SKATER) to stratify the data. …”
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Implementation of Data Record Software Based on Zlib for Locomotive Wireless Reconnection System by Zhifang LEI, Fuhong XU, Tiebing LI, Hongping SHEN, Fuchao YAN

“…The proposed software had be applied in SS4 series and Shenhua locomotive wireless reconnection system, and provided precise field data for actual fault analysis, which was an important base for development and maintenance of the locomotive wireless consists system.…”
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Interprofessional education for whom? --challenges and lessons learned from its implementation in developed countries and their application to developing countries: a systematic re... by Bruno F Sunguya, Woranich Hinthong, Masamine Jimba, Junko Yasuoka

“…We examined challenges or barriers and initiatives to overcome them so as to suggest methods to solve the anticipated challenges in developing countries. We could not conduct a meta-analysis because of the qualitative nature of the research question and the data; instead we conducted a meta-narrative of evidence.…”
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Research on territorial spatial planning based on data mining and geographic information visualization by Wang Yingqiao

“…Cluster analysis is used to conduct spatial cluster analysis of comprehensive spatial data to explore whether there is spatial correlation and large-scale contiguous data in the data; if so, it can realize the purpose of national territorial space division. …”
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Strong Interference Elimination in Seismic Data Using Multivariate Variational Mode Extraction by Zhichao Yu, Yuyang Tan, Yiran Lv

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Application of data query robots based on large language models in the medical field by QUAN Xiaoxiao, XIONG Wenju, PAN Junjie, ZENG Huatang

“…This study introduced the development history and current research status of large language model (LLM), data query robot (DQR). …”
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Using LiDAR Data to Assess the Character of Landscape in the Suburban Zone of Poznań by Anna Dudzińska, Anna Gałecka-Drozda, Barbara Szpakowska

“…The data for analysis of the rural landscape structure were acquired from airborne laser scanning (LiDAR). …”
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Identification of biomarkers for knee osteoarthritis through clinical data and machine learning models by Wei Chen, Haotian Zheng, Binglin Ye, Tiefeng Guo, Yude Xu, Zhibin Fu, Xing Ji, Xiping Chai, Shenghua Li, Qiang Deng

“…Clinical data from 2594 samples were obtained and stratified into training and validation datasets in a 7:3 ratio. …”
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QUANTIFYING POLYCENTRIC PATTERNS: AN EMPIRICAL APPLICATION ON EMPLOYMENT DATA IM MOLDOVA, ROMANIA by Alexandra BLĂGEANU

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QUANTIFYING POLYCENTRIC PATTERNS: AN EMPIRICAL APPLICATION ON EMPLOYMENT DATA IM MOLDOVA, ROMANIA by Alexandra BLĂGEANU

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Data privacy preservation for the search of Internet of things based on fine-grained authorization by Jia-hui WANG, Chuan-yi LIU, Bin-xing FANG

“…Thirdly, the security analysis and performance analysis of the scheme were also carried out. …”
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COMPARISON OF ARIMA AND GARMA'S PERFORMANCE ON DATA ON POSITIVE COVID-19 CASES IN INDONESIA by A'yunin Sofro, Khusnia Nurul Khikmah

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