The COVID-19 Model with Partially Recovered Carriers by T. S. Faniran, E. A. Bakare, A. O. Falade

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Modeling and thermodynamic properties of ‘bacaba’ pulp drying by Maria F. de Morais, José R. O. dos Santos, Marisângela P. dos Santos, Dyego da C. Santos, Tiago N. da Costa, Joel B. Lima

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Modeling PROTAC degradation activity with machine learning by Stefano Ribes, Eva Nittinger, Christian Tyrchan, Rocío Mercado

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The Porosity Dynamic Model of the Compacted Broken Coal by Xuefeng Han, Tingxiang Chu, Minggao Yu, Jiangkun Chao, Zhihui Ma, Xinlei Yang

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Optimization of Battery Thermal Management for Real Vehicles via Driving Condition Prediction Using Neural Networks by Haozhe Zhang, Jiashun Zhang, Tianchang Song, Xu Zhao, Yulong Zhang, Shupeng Zhao

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Grammar-Based Computational Framework for Predicting Pseudoknots of K-Type and M-Type in RNA Secondary Structures by Christos Pavlatos

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Modelling Magnetorheological Dampers in Preyield and Postyield Regions by E. Palomares, A. L. Morales, A. J. Nieto, J. M. Chicharro, P. Pintado

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Models to Tailor Brain Stimulation Therapies in Stroke by E. B. Plow, V. Sankarasubramanian, D. A. Cunningham, K. Potter-Baker, N. Varnerin, L. G. Cohen, A. Sterr, A. B. Conforto, A. G. Machado

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Modeling In Vitro Cellular Responses to Silver Nanoparticles by Dwaipayan Mukherjee, Steven G. Royce, Srijata Sarkar, Andrew Thorley, Stephan Schwander, Mary P. Ryan, Alexandra E. Porter, Kian Fan Chung, Teresa D. Tetley, Junfeng Zhang, Panos G. Georgopoulos

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Improving immunovirotherapies: the intersection of mathematical modelling and experiments by Christine E. Engeland, Johannes P.W. Heidbuechel, Robyn P. Araujo, Adrianne L. Jenner

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Hyperspectral Remote Sensing Estimation of Rice Canopy LAI and LCC by UAV Coupled RTM and Machine Learning by Zhongyu Jin, Hongze Liu, Huini Cao, Shilong Li, Fenghua Yu, Tongyu Xu

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Impact of the potential evapotranspiration models on drought monitoring by Weiqi Liu, Shaoxiu Ma, Haiyang Xi, Linhao Liang, Kun Feng, Atsushi Tsunekawa

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A Novel Application of Computational Contact Tools on Nonlinear Finite Element Analysis to Predict Ground-Borne Vibrations Generated by Trains in Ballasted Tracks by Andrés García Moreno, Antonio Alonso López, María G. Carrasco García, Ignacio J. Turias, Juan Jesús Ruiz Aguilar

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A Machine Learning-Based Intelligent Framework for Predicting Energy Efficiency in Next-Generation Residential Buildings by Hafiz Muhammad Shakeel, Shamaila Iram, Richard Hill, Hafiz Muhammad Athar Farid, Akbar Sheikh-Akbari, Farrukh Saleem

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Proposing an Adaptive Neuro-Fuzzy System-Based Swarm Concept Method for Predicting the Physical Properties of Nanofluids by Gong Han, Amir Seraj

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Validation of the evaluation of longevity by weighted analysis by Daniela Fulínová, Jiří Bauer, Luboš Vostrý

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An Assessment of the Bearing Capacity of High-Strength-Concrete-Filled Steel Tubular Columns Through Finite Element Analysis by Leonardo André Rossato, Alexandre Rossi, Carlos Humberto Martins, Gustavo de Miranda Saleme Gidrão, Laura Silvestro, Rúbia Mara Bosse

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Prediction of Variable-speed Compressor Power Based on Particle Swarm Optimization and Back Propagation Neural Network by Gong Qijian, Guo Yabin, Chen Huanxin, Cheng Yahao, Xu Shenming

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FATIGUE LIFE PREDICTION AND EXPERIMENTAL STUDY OF ALUMINUM ALLOY WHEEL HUB CONSIDERING DAMAGE ACCUMULATION (MT) by WANG ZhaoHua, WU FengHe, LIU JiaLiang, LIAN Hui

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Bus Arrival Time Prediction Using Wavelet Neural Network Trained by Improved Particle Swarm Optimization by Yuanwen Lai, Said Easa, Dazu Sun, Yian Wei

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