Strata pressure behavior law and regional-level intelligent early warning for high-intensity mining in extended working faces of medium-thick coal seams in Yuheng mining area by Feng CUI, Cheng ZONG, Xingping LAI, Tao XIE, Yunhu BAI, Yi ZHANG, Chong JIA, Hao WANG, Zhong LUO, Hao LIU

“…The mine pressure data of the working face was dynamically mapped to the spatial grid cells with topological relationships. …”
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AI-based tracking of fast-moving alpine landforms using high-frequency monoscopic time-lapse imagery by H. Hendrickx, H. Hendrickx, M. Elias, X. Blanch, X. Blanch, R. Delaloye, A. Eltner

“…For the latter, we use an in-house tool called GIRAFFE, which employs the AI-based LightGlue matching algorithm. This methodology was validated against GNSS and TS surveys, demonstrating its capability to provide spatially and temporally detailed velocity information. …”
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Fuzzy optimum PSO: PSO with optimized fuzzy controllers by Omid Mokhlessi, Seyed Hamid Zahiri, Nasser Mehrshad

“…In this paper, a new algorithm called Fuzzy Optimum PSO (FOPSO) has been introduced. …”
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Surface Soil Organic Carbon Estimation Based on Habitat Patches in Southwest China by Jieyun Xiao, Wei Zhou, Ting Wang, Yao Peng, Zhan Shi, Saibo Li, Yang Li, Tianxiang Yue

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Exports of goods and services: common and distinguishing features of accounting and taxation by I.V. Zhyhlei, D.S. Osipchuk

“…Their dynamics for 2013–2018 is investigated, the main tendencies of volumes of supply of goods and services to non-residents are determined. …”
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Distributed Authentication of Power Grid Safety and Stability Control Terminals Based on DHT and Blockchain by Yening LAI, Ke FENG, Tongwei YU, Wang WANG, Guanjun TANG

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Edge-level multi-constranint graph pattern matching with lung cancer knowledge graph by Houdie Tu, Lei Li, Lei Li, Zhenchao Tao, Zhenchao Tao, Zan Zhang, Zan Zhang

“…IntroductionTraditional Graph Pattern Matching (GPM) research mainly focuses on improving the accuracy and efficiency of complex network analysis and fast subgraph retrieval. …”
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Similarity measure for intuitionistic fuzzy sets and its applications in pattern recognition and multimodal medical image fusion by Anjali Patel, Deepa Gupta, E. A. Gopalakrishnan, Divya Sasidharan, V. Sowmya, Mohammed Zakariah, Abdulaziz S. Almazyad

“…Abstract Intuitionistic fuzzy similarity measures (IFSMs) play a significant role in applications involving complex decision-making, pattern recognition, and image processing. Several researchers have introduced different methods of IFSMs, yet these IFSMs fail to provide rational decisions. …”
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A Novel Approach for Efficient Detection of Lotus Seedpod Maturity Using Compressed Models by Tao Tang, Min Jin, Gaohong Yu, Rui Feng, Bingliang Ye

“…Next, a model was established under the CSPDarknet53 framework, incorporating a fast spatial pyramid pooling module to detect the maturity of lotus seedpods. …”
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Water Body Extraction Method Based on ConvNeXt and Dual Feature Extraction Branch by ZHOU Ke, CHANG Ranran, XU Xizhi, MIAO Ru, ZHANG Guangyu, WANG Jiaqian

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Village-level climate and weather variability, mediated by village-level crop yield, is associated with linear growth in children in Uganda by Vernon M Chinchilli, Paddy Ssentongo, Djibril M Ba, Claudio Fronterre

“…Annual crop yield in kilograms per hectare for 42 crops at a 0.1° (~10 km at the equator) spatial resolution square grid was obtained from the International Food Policy Research Institute. …”
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Construction and Application of Feature Recommendation Model for Remote Sensing Interpretation of Rock Strata Based on Knowledge Graph by Liufeng Tao, Qirui Wu, Miao Tian, Zhong Xie, Jianguo Chen, Yueyu Wu, Qinjun Qiu

“…The enhancement of remote sensing interpretation accuracy for rock strata in complex terrain areas has long been limited by challenges in field validation and the insufficient integration of geological knowledge in traditional spectral–spatial feature selection methods. This study proposes a geological remote sensing interpretation framework that integrates textual geological data, which enhances lithological identification accuracy by systematically combining multi-source geological knowledge with machine learning algorithms. …”
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A multi-objective optimization framework for functional layer design in solid oxide electrolysis cells by Hassan Salihi, Kisung Lim, Neil Vaz, Sun Dong Kim, Hyunchul Ju

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The Water Table Model (WTM) (v2.0.1): coupled groundwater and dynamic lake modelling by K. L. Callaghan, K. L. Callaghan, K. L. Callaghan, A. D. Wickert, A. D. Wickert, A. D. Wickert, R. Barnes, J. Austermann

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Digital image representation by atomic functions: features for computer vision and machine learning by Viktor Makarichev, Vladimir Lukin, Sergii Kryvenko, Iryna Brysina

“…These images are typically characterized by high spatial and spectral resolution, resulting in large data volumes. …”
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Evaluating Radio Occultation (RO) Constellation Designs Using Observing System Simulation Experiments (OSSEs) for Ionospheric Specification by Nicholas Dietrich, Tomoko Matsuo, Chi‐Yen Lin, Brandon diLorenzo, Charles Chien‐Hung Lin, Tzu‐Wei Fang

“…Errors from models and EDP retrieval are realistically accounted for in this study through distinct I‐T models and by retrieving synthetic EDPs through an extension Abel inversion algorithm. OSSE assessment, using multiple metrics, finds that greater EDP spatial coverage leading to improved specification at altitudes 300 km and above, with the 520 km altitude constellations performing best due to yielding the highest observation counts. …”
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Underwater image dehazing using a hybrid GAN with bottleneck attention and improved Retinex-based optimization by Amandeep Kaur, Shalli Rani, Mohammad Shabaz

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deep-Sep: a deep learning-based method for fast and accurate prediction of selenoprotein genes in bacteria by Yao Xiao, Yan Zhang

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The Impact of Stratospheric Intrusion on Surface Ozone in Urban Areas of the Northeastern Tibetan Plateau by Mingge Li, Yawen Kong, Meng Fan, Chao Yu, Ying Zhang, Jianbin Gu, Jinhua Tao, Liangfu Chen

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Deep Learning-Emerged Grid Cells-Based Bio-Inspired Navigation in Robotics by Arturs Simkuns, Rodions Saltanovs, Maksims Ivanovs, Roberts Kadikis

“…This paper first provides an overview of recent research on grid cell-based navigation in robotics, focusing on deep learning models and algorithms capable of handling uncertainty and dynamic environments. …”
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