Prognostic Value of C-Reactive Protein, Leukocytes, and Vitamin D in Severe Chronic Obstructive Pulmonary Disease by Mia Moberg, Jørgen Vestbo, Gerd Martinez, Peter Lange, Thomas Ringbaek

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Combating electricity fraud: Employing hybrid learning and computer vision for sustainable energy management by Jui-Sheng Chou, Nader Anwar Charaf, Dani Nugraha Limantono, Hoang-Minh Nguyen

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Design of drain tube with cone to prevent frost accumulation of drainage hole in household refrigerators using artificial neural network by Suhwan Lee, Dongkuk Kang, Jinxing Fan, Sunghee Kang, Dong Kim, Eunseop Yeom

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Supervised Land Use Inference from Mobility Patterns by Noelia Caceres, Francisco G. Benitez

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Application of Machine Learning for Estimating the Physical Parameters of Three-Dimensional Fractures by Fadhillah Akmal, Ardian Nurcahya, Aldenia Alexandra, Intan Nurma Yulita, Dedy Kristanto, Irwan Ary Dharmawan

“…CNN-2 was the best model for accurately predicting the three fracture physical parameters but experienced a drop in performance when tested on real rock fractures.…”
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Structural Behavior of Ultrahigh-Performance Fiber-Reinforced Concrete Thin-Walled Arch Subjected to Asymmetric Load by Jun Yang, Jianting Zhou, Zongshan Wang, Yingxin Zhou, Hong Zhang

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Permeability Reduction and Electrochemical Impedance of Fractured Rock Grouted by Microbial-Induced Calcite Precipitation by Shuquan Peng, Kejia Zhang, Ling Fan, Jingyu Kang, Kang Peng, Fan Wang

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ZFinfer: A novel chemical-phenotype inference system for zebrafish for filling data gaps in environmental pollutant research by Hung-Lin Kan, Shan-Shan Wang, Chun-Wei Tung

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Effect of bending load on electrical conductivity of carbon/epoxy composites filled with nanoparticles using design of experiment and artificial neural networks by Ali Sadollah, Seyed Morteza Razavi, Abobakr Khalil Al-Shamiri

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Coagulation Function and Type 2 Diabetic Kidney Disease: A Real-World Observational Study by Meng-chao Liu, Wen-quan Niu, Yue-fen Wang, Yuan Meng, Gui-min Zheng, Zhen Cai, Cun Shen, Xiang-gang Zhu, Meng-di Wang, Jia-lin Li, Wen-jing Zhao, Yao-xian Wang

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An unified topological representation theory of the integral and fractional quantum Hall fluid by folding the membrane of quantum electron fluid by Tieyan Si

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State-of-Charge Estimation of Medium- and High-Voltage Batteries Using LSTM Neural Networks Optimized with Genetic Algorithms by Romel Carrera, Leonidas Quiroz, Cesar Guevara, Patricia Acosta-Vargas

“…The proposed method enhances prediction accuracy under dynamic conditions by recalibrating the LSTM output with CC estimates through a dynamic fusion parameter <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>α</mi></semantics></math></inline-formula>. …”
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Rotor-System Log-Decrement Identification Using Short-Time Fourier-Transform Filter by Qihang Li, Weimin Wang, Lifang Chen, Dan Sun

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A Case Study in China to Determine Whether GPS Data and Derivative Indicator Can Be Used to Identify Risky Drivers by Rui Fu, Tong Liu, Yuxi Guo, Shiwei Zhang, Wendong Cheng

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Frost-Heaving Cracking Sensitivity of Single-Flaw Rock Mass Based on a Numerical Experimental Method by Tingting Wang, Chun’an Tang, Pingfeng Li, Shibin Tang, Minghao Liu, Bingbing Zhang

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Thermal conductivity of biochar-clay composites for the internal insulation of buildings by Michele Bianchi Janetti, Martina Krusharova, Florian Fend, Kai Längle, Thomas Mathis

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Sugarcane green and sustainable harvest by demand management of the sugarcane harvester machine's spare parts by Fatemeh Afsharnia, Afshin Marzban, Mohammad Amin Asoodar, Abas Abdeshahi

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A novel decoding strategy for ProteinMPNN to design with less visibility to cytotoxic T-lymphocytes by Hans-Christof Gasser, Ajitha Rajan, Javier A. Alfaro

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Optimizing TCP Performance in Multi-AP Residential Broadband Connections via Minislot Access by Domenico Giustiniano, Eduard Goma, Alberto Lopez Toledo, George Athanasiou

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Markov-Modulated and Shifted Wishart Processes with Applications in Derivatives Pricing by Behzad-Hussein Azadie Faraz, Hamid Arian, Marcos Escobar-Anel

“…These features tend to increase substantially during crisis periods, more than predicted by a Wishart dynamic. Moreover, the variance processes implied by the Wishart, similar to CIR models, have no buffer away from zero. …”
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