Measuring seismic attenuation in polar firn: method and application to Korff Ice Rise, West Antarctica by Ronan S. Agnew, Roger A. Clark, Adam D. Booth, Alex M. Brisbourne, Andrew M. Smith

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Determinants of foreign portfolio ınvestments: a panel ARDL model application to BRICS countries and Türkiye by kudbeddin şeker

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Application of Sentinel-2A Images for Land Cover Classification Using NDVI in Jember Regency by Rufiani Nadzirah, Mochammad Kevin Rizqon, Indarto Indarto

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Adaptive Diffeomorphic Multiresolution Demons and Their Application to Same Modality Medical Image Registration with Large Deformation by Chang Wang, Qiongqiong Ren, Xin Qin, Yi Yu

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Co-registration of Optically Sensed Images and Correlation (COSI-Corr) applications in ground deformation measurement by Junyang Kou, Xiaobo Zou, Lei Mao

“…Traditional optical remote sensing change detection methods can’t eliminate the error induced by the imaging system and terrain, due to the need for external information from global positioning system (GPS) measurements. …”
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Artificial neural network forecast application for fine particulate matter concentration using meteorological data by M. Memarianfard, A.M. Hatami, M. Memarianfard

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Data‐Driven Theoretical Modeling of Centrifugal Step Emulsification and Its Application in Comprehensive Multiscale Analysis by Xin Wang, Xiaolu Cai, Chao Wan, Huijuan Yuan, Shunji Li, Yiwei Zhang, Ran Zhao, Yuxi Qin, Yiwei Li, Bi‐Feng Liu, Peng Chen

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Optimized design of a permanent magnet brushless DC motor for solar water-pumping applications by Aryadip Sen, Bhim Singh, Kumar Mahtani, Arash Moradzadeh, S.M. Muyeen

“…The control strategy, based on two voltage sensing points, accurately manages electronic commutation and speed control across a wide range, independent of motor parameters, using adaptive error optimization. The motor and solar maximum power are controlled through a single-stage three-phase inverter, making the electronic controller compact and enhancing its suitability for integrated applications. …”
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Kinematic Analysis and Motion Simulation of a 2D Cable Robot Designed for Greenhouse Applications by Hassan Masoudi, Ali Madadi Kahkesh

“…The values of rise time, peak time, overshoot, and steady state error at reaching point (40, 30) were 0.8 s, 2.3 s, 10-20 %, 0 respectively. …”
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Detection of Transformer Faults: AI-Supported Machine Learning Application in Sweep Frequency Response Analysis by Hakan Çuhadaroğlu, Yılmaz Uyaroğlu

“…These tests typically produce large datasets, making manual analysis challenging and prone to human error. AI algorithms offer a solution to this issue by enabling fast and accurate data analysis. …”
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A new application for reading optical form with standard scanner by using image processing techniques by Ayşe Eldem, Fatih Taha Özcan

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Development and Application of Equipment for Anchor Cable with C-Shaped Tube Tension-Shear Test System by Renliang Shan, Chen Liang, Weijun Liu, Yuzhao Jiang, Tianwen Li

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Application of Variational Quantum Eigensolver for Ground State Energies Calculation in Hydrogen and Helium Atomic Sequences by Difa Farhani Hakim, Teguh Budi Prayitno, Yanoar Pribadi Sarwono

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A new application for reading optical form with standard scanner by using image processing techniques by Ayşe Eldem, Fatih Taha Özcan

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Filter Learning-Based Partial Least Squares Regression and Its Application in Infrared Spectral Analysis by Yi Mou, Long Zhou, Weizhen Chen, Jianguo Liu, Teng Li

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Application and feasibility analysis of knowledge-based machine learning in predicting fatigue performance of stainless steel by Jia Wang, Dongkui Fan, C.S. Cai

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A novel model reference adaptive control approach investigation for power electronic converter applications by Muhammad Ahmed Qureshi, Salvatore Musumeci, Francesco Torelli, Alberto Reatti, Andrea Mazza, Gianfranco Chicco

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Projection and assessment of future droughts in Iowa: developing a machine learning model and an interactive application by Ingrid Cintura, Antonio Arenas

“…Moreover, this research developed an interactive application for visualizing future drought conditions in Iowa. …”
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MULTI-MODEL STACK ENSEMBLE DEEP LEARNING APPROACH FOR MULTI-DISEASE PREDICTION IN HEALTHCARE APPLICATION by Bhaskar Adepu, T. Archana

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Data-driven modeling of the Yld2000 yield criterion and its efficient application in numerical simulation by Xiaomin Zhang, Jianzhong Mao, Zhi Cheng

“…Furthermore, by generating a broadly applicable training dataset, this approach avoids dependence on specific material parameters, thereby exhibiting strong generalizability. …”
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