Mem-based pangenome indexing for k-mer queries by Stephen Hwang, Nathaniel K. Brown, Omar Y. Ahmed, Katharine M. Jenike, Sam Kovaka, Michael C. Schatz, Ben Langmead

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XFEM for Fracture Analysis of Centrally Cracked Laminated Plates Subjected to Biaxial Loads by Shailesh Palekar, Achchhe Lal

“…The effect of loadings on the crack growth and crack propagation direction and their effects on the MSIFs using global tracking crack growth algorithm is also presented. The results of the present investigation will be useful for accurate prediction of fracture response of cracked composite structures, crack growth and crack propagation behavior which ultimately effects on the structural safety and integrity of the composite structures.…”
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Predicting Young’s Modulus of Aggregated Carbon Nanotube Reinforced Polymer by Roham Rafiee, Vahid Firouzbakht

“…Prediction of mechanical properties of carbon nanotube-based composite is one of the important issues which should be addressed reasonably. …”
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A Comparative Study of Machine Learning Techniques for Predicting Mechanical Properties of Fused Deposition Modelling (FDM)-Based 3D-Printed Wood/PLA Biocomposite by Prashant Anerao, Atul Kulkarni, Yashwant Munde, Namrate Kharate

“…Four distinct machine learning algorithms have been selected for predictive modeling: Linear Regression, Support Vector Machine (SVM), eXtreme Gradient Boosting (XGBoost), and Adaptive Boosting (AdaBoost). …”
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Assessing distortion in carbon fiber woven fabrics based on machine vision by Shiyue Li, Quanzhou Yao, Lin Ye

“…Distortion in carbon fiber woven fabrics significantly impacts composite mechanical performance through defective fiber tow distribution. …”
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Elastostatic analysis of tapered FGM beams with spatially varying material properties by Justín Murín, Stephan Kugler, Juraj Paulech, Juraj Hrabovský, Vladimír Kutiš, Herbert Mang, Mehdi Aminbaghai

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Predicting tensile and fracture parameters in polypropylene-based nanocomposites using machine learning with sensitivity analysis and feature impact evaluation by Pouya Rajaee, Faramarz Ashenai Ghasemi, Amir Hossein Rabiee, Mohammad Fasihi, Behnam Kakeh, Alireza Sadeghi

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A Bi-Objective Model for the Location and Optimization Configuration of Kitchen Waste Transfer Stations by Ming Wan, Ting Qu, George Q. Huang, Ruoheng Chen, Manna Huang, Yanghua Pan, Duxian Nie, Junrong Chen

“…Finally, a pilot case involving cooperative enterprises is used as an example in this study, and the results demonstrate the effectiveness of the model and algorithm, as well as their feasibility in practice.…”
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Development of the regional economy on the basis of application of state-private partnership by M. K. Ashinova, L. N. Isachkova, S. Y. Khut, F. R. Eshugova

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The methodology of food design. Part 2. Digital nutritiology in personal food by A. Y. Prosekov, A. D. Vesnina, O. V. Kozlova

“…This company selects personalized food, taking into account the results of personal nutrigenetic tests, in cooperation with LLC “Genotech” (Moscow). There is a need to use biological information, statistical information processing (nutrigenetic studies, nutrigenomic research) and machine-aided data processing (machine learning) for further generation of automatic algorithm that compiles personal recommendations. …”
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A Multiple Collision Channel Assignment Based on Imperfect Game Theory by Haofeng Dai, Shibiao He, Mian Tan, Pengyu Zheng, Hui Zhang

“…In order to solve this optimization problem, a kind of non cooperation channel allocation algorithm based on imperfect information was put forward. …”
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A Multiple Collision Channel Assignment Based on Imperfect Game Theory by Haofeng Dai, Shibiao He, Mian Tan, Pengyu Zheng, Hui Zhang

“…In order to solve this optimization problem, a kind of non cooperation channel allocation algorithm based on imperfect information was put forward. …”
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European sovereign debt control through reinforcement learning by Tato Khundadze, Willi Semmler, Willi Semmler, Willi Semmler

“…We demonstrate that the Soft Actor-Critic algorithm provides comparable or, in some cases, better solutions to multi-objective macroeconomic optimization problems, in comparison to Nonlinear Model Predictive Control (NMPC) algorithm.…”
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Multi-Underwater Target Interception Strategy Based on Deep Reinforcement Learning by Wenhao GAN, Yunfei PENG, Lei QIAO

“…Next, the multi-agent proximal policy optimization algorithm was used to construct a scalable state and action space and design a compound reward function, enhancing interception efficiency and cooperation of AUVs. …”
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Coordination and Control of Hierarchically Organized Interacting Agents by Sunandita Patra, Paolo Traverso, Malik Ghallab, Dana Nau

“…Our main contribution regards the formal definition, the representation, the theorems about its properties (i.e., the parallel and hierarchical composition are distributive operations), and the synthesis algorithm, proved to be complete and correct.…”
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A Multi-Objective Hybrid Game Pricing Strategy for Integrated Energy Operator-Load Aggregator Alliances Considering Integrated Demand Response by Yunlong Wang, Shan He

“…Secondly, to achieve cooperation between load aggregators, we use Nash bargaining theory to decompose the cooperative game model into two subproblems: maximizing alliance benefits and allocating cooperation benefits. …”
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A radial basis function artificial neural network model for water quality evaluation by GUO Zong-lou

“…A model for water quality evaluation is constructed by using a radial basis function artificial neural network (RBF-ANN), and trained by using a least squares estimation algorithm. The results related to water quality evaluation for a reservoir show that it is possesses reasonability, objectivity, generality and practicability on water quality evaluation by using RBF-ANN in cooperation with the RBF-LS algorithm.…”
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Compensation for Matrix Effects in High-Dimensional Spectral Data Using Standard Addition by Elena Khanonkin, Israel Schechter, Itai Dattner

“…We propose a novel algorithm for standard addition that works with high-dimensional data without requiring matrix composition knowledge or blank measurements. …”
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Social Intelligence Mining: Transforming Land Management with Data and Deep Learning by Mohammad Reza Yeganegi, Hossein Hassani, Nadejda Komendantova

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Data driven multi-objective optimization of sustainable aviation emergency network for forest fire rescue by Jun Huang, Qiuhong Zhao

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