A Kp‐Driven Machine Learning Model Predicting the Ultraviolet Emission Auroral Oval by Huiting Feng, Dedong Wang, Yuri Y. Shprits, Artem Smirnov, Deyu Guo, Yoshizumi Miyoshi, Stefano Bianco, Shangchun Teng, Run Shi, Su Zhou, Yongliang Zhang

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Simulated Annealing Method for the Automated Simulation of DNA Dynamics in the HhaI Protein Binding Site by Kari Pederson, Michael Groves, Gary P. Drobny

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Exploring Monte Carlo Negotiation Search with Nontrivial Agreements by Elijah Alden Malaby, John Licato

“…A particular recent development in this space is the Monte Carlo Negotiation Search (MCNS) algorithm, which can negotiate to find valuable cooperative strategies for a wide array of games (such as those of the Game Description Language). …”
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A Distributed Machine Learning Model for Blue and Green Water Resources With Transferable Applications in Similar Climatic Zones by Zhibin Li, Haroon Sahotra, Sajjad Ahmad, Wei Wang, Zhe Yang, Pute Wu, Eakalak Khan, La Zhuo

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Multiclass Classification of Solar Flares in Imbalanced Data Using Ensemble Learning and Sampling Methods by Haodi Jiang, Ryoma Matsuura, Jason T. L. Wang

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Automatic Differentiation‐Based Full Waveform Inversion With Flexible Workflows by Feng Liu, Haipeng Li, Guangyuan Zou, Junlun Li

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Geolocating a WeChat user based on the relation between reported and actual distance by Wenqi Shi, Xiangyang Luo, Fan Zhao, Ziru Peng, Qingfeng Cheng, Yong Gan

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An ensemble method for cloud mask calculation based on data from the AHI instrument onboard the Himawari-8/9 satellite using convolutional neural networks by A.I. Andreev, S.I. Malkovsky, M.O. Kuchma, Y.A. Shamilova

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Optimizing the Finishing Treatment of Potato Harvester Transmission Shafts by A. V. Nemenko, M. M. Nikitin

“…The control scheme employs mathematical tools for describing discrete and continuous random variables, Markov processes with discrete time and continuous state space, the maximum likelihood method, and methods of numerical optimization in multifactor space. …”
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Investigating amplitude amplification in optimization-based control for a continuous stirred tank reactor by Kip Nieman, Helen Durand, Saahil Patel, Daniel Koch, Paul M. Alsing

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Robust Task Offloading and Trajectory Optimization for UAV-Mounted Mobile Edge Computing by Runhe Wang, Yang Huang, Yiwei Lu, Pu Xie, Qihui Wu

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Development and assessment of Leaf Area Index of Russia's vegetation cover based on multi-angular observations by KMSS (Meteor-M) and neural network inversion of PROSAIL model by D.E. Plotnikov, Z. Zhou, P.A. Kolbudaev, E.A. Loupian, A.M. Matveev, M.V. Zimin, B.S. Zhukov, T.V. Kondratieva, S.V. Lebedev

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Automated Construction and Mining of Text-Based Modern Chinese Character Databases: A Case Study of Fujian by Xueyan Jian, Wen Yuan, Wu Yuan, Xinqi Gao, Rong Wang

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Quantifying the chemical composition of weathering products of Hainan basalts with reflectance spectroscopy and its implications for Mars by Xing Wu, JiaCheng Liu, WeiChao Sun, Yang Liu, Joseph Michalski, Wei Tan, XiaoRong Qin, YongLiao Zou

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Deep Reinforcement Learning-Based Distribution Network Planning Method Considering Renewable Energy by Liang Ma, Chenyi Si, Ke Wang, Jinshan Luo, Shigong Jiang, Yi Song

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Multi-Objective Optimization Based on Response Surface Methodology and Multi-Objective Particle Swarm Optimization for Pipeline Selection of Replenishment Oiler by Yujin Cong, Cheng Meng, Ming Yang, Yong Liu, Ping Yi, Tie Li, Shuai Huang

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Influence of geomagnetic disturbances on myocardial infarctions in women and men from Brazil by Luiz Felipe C. Rezende, Eurico R. De Paula, Marcio T. A. H. Muella, Severino L. G. Dutra, Reinaldo R. Rosa, Paulo H. N. Saldiva, Jean P. H. B. Ometto

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scGRN-Entropy: Inferring cell differentiation trajectories using single-cell data and gene regulation network-based transfer entropy. by Rui Sun, Wenjie Cao, ShengXuan Li, Jian Jiang, Yazhou Shi, Bengong Zhang

“…In scGRN-Entropy, an undirected graph representing state transitions between cells is constructed by integrating both static relationships in gene expression space and dynamic relationships in the GRN space. …”
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A deep machine learning model development for the biomarkers of the anatomical and functional anti-VEGF therapy outcome detection on retinal OCT images by B.E. Malyugin, S.N. Sakhnov, L.E. Axenova, K.D. Axenov, E.V. Kozina, V.V. Vronskaya, V.V. Myasnikova

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Unsupervised feature selection in binarization of real attributes for conceptual clustering by Shkaberina Guzel, Masich Igor, Markushin Egor, Kraeva Ekaterina

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