Correlation between ore mineralogical composition at different depths and Bond Work Index for the Erdenetiin Ovoo Cu-Mo porphyry deposit, Mongolia by Batmunkh Tumen-Ayush, Chinzorig Bavuu, Narangerel Adiyasuren, Davaajargal Darambazar, Ganbileg Davaajav, Khaliun Amartuvshin, Sondor Ganbat, Tsend-Ayush Tserendagva, Altankhuyag Dorjyunden, Ganzorig Chimed

“…The X-ray diffractometer data of mineral composition are used in setting up the prediction of the Bond Work Index estimation model. …”
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Construction and Application of a Coupled Temperature and Pressure Model for CO₂ Injection Wells Considering Gas Composition by Hang Lai, Peng Chen, Lingang Lv, Song Lu

“…The model was solved iteratively using numerical methods. …”
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Lymph Node Inclusion in a Modified Osteomyocutaneous Allograft for Vascularized Composite Allotransplantation: Establishment and Feasibility Assessment in a Pig Model by Stefanie Hirsiger, MD, Ioana Lese, MD, Isabel Arenas Hoyos, MD, Cédric Zubler, MD, David Haberthür, PhD, Ruslan Hlushchuk, MD, Valentin Djonov, MD, Yara Banz, MD, PhD, Ana Macek, MD, Hendrik von Tengg-Kobligk, MD, Daniela Casoni, VMD, PhD, Robert Rieben, PhD, Radu Olariu, MD, PhD

“…Representative translational animal models play a key role in vascularized composite allotransplantation (VCA) research. …”
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FUZZY SET ASSESSMENT OF INNOVATIVE PROJECT EFFECTIVENESS PARAMETERS by A. O. Baranov, E. I. Musyko, V. N. Pavlov

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Effects of Medicare predictors in health disparities in the risk of Alzheimer's disease by Igor Akushevich, Arseniy Yashkin, Julia Kravchenko

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The Impact of Test Number on the Mechanical Properties of Dracaena Draco Cellulose Fibers for Composite Structures: Weibull Statistic by Abdelwaheb Hadou, Ahmed Belaadi, Messaouda Boumaaza, Boon Xian Chai, Mahmood M. S. Abdullah, Ibrahim M. H. Alshaikh, Amar Al-Khawlani, Djamel Ghernaout

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A Physics-Informed Neural Network Based on the Boltzmann Equation with Multiple-Relaxation-Time Collision Operators by Zhixiang Liu, Chenkai Zhang, Wenhao Zhu, Dongmei Huang

“…The micro–macro decomposition method is applied to improve learning efficiency. …”
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Applying Progressive Frequency Bands to Improve Image Quality and Training Stability of GAN by Chae-Eun Lee, Sung Hoon Jung

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Online identification of stability region for large-scale wind farms, Part II: Construction of stability region boundary by Jia Luo, Peng Wang, Haoran Zhao, Yonghan Liu, Vladimir Terzija

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Application of Bi-Directional Functionally Graded Material Model for Free Vibration Analysis of Rotating Euler-Bernoulli Nanobeams by Sayed Mohammad Kazem Ohab-Yazdi, Mehran Kadkhodayan

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Improving the Performance of the Sandwich Panel with the Corrugated Core Filled with Metal Foam: Mathematical and Numerical Methods by Mohammad Nouri Damghani, Arash Mohammadzadeh Gonabadi

“…A new type of composite structure with a metal foam is reinforced by the metal corrugated core, called metal-foam-filled sandwich panel with a corrugated or V-frame core, is modelled, simulated, and studied in this article. …”
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Koopman-Based Model Predictive Control of Functional Electrical Stimulation for Ankle Dorsiflexion and Plantarflexion Assistance by Mayank Singh, Noor Hakam, Trisha M. Kesar, Nitin Sharma

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YConvFormer: A Lightweight and Robust Transformer for Gearbox Fault Diagnosis with Time–Frequency Fusion by Yihang Peng, Jianjie Zhang, Songpeng Liu, Mingyang Zhang, Yichen Guo

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Novel Methods for Surface EMG Analysis and Exploration Based on Multi-Modal Gaussian Mixture Models. by Anna Magdalena Vögele, Rebeka R Zsoldos, Björn Krüger, Theresia Licka

“…Hereby we show the applicability of the method to identify composite peak models, which describe activation of different muscles throughout cycles of locomotion.…”
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A Short Review: Tribology in Machining to Understand Conventional and Latest Modeling Methods with Machine Learning by Seisuke Kano

“…Recent innovations have introduced data-driven approaches that predict system behavior without the need for detailed models. By integrating advanced monitoring technologies and machine learning, these methods enable real-time predictions within controllable parameters using live data. …”
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Middle School Classroom Furniture Evaluation Model Based on Combinatorial Weighting of Game Theory by Yu Liang, Yihui Yan, Huiyuan Guan

“…To address this, this study focuses on the “demand-configuration” contradiction and constructs a composite evaluation model integrating the “game theory combined weighting method - fuzzy comprehensive evaluation method - quadrant diagram model”. …”
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The Optimization and Mathematical Modeling of Quality Attributes of Parboiled Rice Using a Response Surface Method by Khurram Yousaf, Chen Kunjie, Chen Cairong, Adnan Abbas, Yuping Huang, Chaudhry Arslan, Zhang Xuejin

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The superior coupled model with innovative strategy for accurate imputation of missing hydrological monitoring data in water research-A case of groundwater level data by Xian-Qi Zhang, Zi-Yu Li, Xian-Liang Liu, Xiao-Yan Wu, Xin-Yong Xu, En-Kuan Li, Bo-Wen Wang, Su-Bo Han, Shao-Bo Liu

“…This paper proposes a strategy of “Decomposition-Classification-Feature Extraction-Imputation” and establishes a coupled model integrating Extreme-point Symmetric Mode Decomposition (ESMD), Permutation Entropy (PE), Singular Value Decomposition (SVD), and Whale Optimization Algorithm-Bidirectional Long Short-Term Memory (WOA-BiLSTM) for the hydrological monitoring data imputation. …”
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Optimised Neural Network Model for Wind Turbine DFIG Converter Fault Diagnosis by Ramesh Kumar Behara, Akshay Kumar Saha

“…VMD has many advantages over other decomposition methods, notably for non-stationary signals and noise. …”
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A New Method for Estimating the Input-Energy of MDOF Structures by D. Davarnia, B. Farahmand Azar

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