Prediction of the Effect of Polymer Membrane Composition in a Dry Air Humidification Process via Neural Network Modeling by M. Fakhroleslam, A. Samimi, S.A. Mousavi, R. Rezaei

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Design Optimization of a Composite Using Genetic Algorithms for the Manufacturing of a Single-Seater Race Car by Ioannis Tsormpatzoudis, Dimitriοs A. Dragatogiannis, Aimilios Sideridis, Efstathios E. Theotokoglou

“…While conventional chassis structures predominantly utilize metals, achieving further mass reduction and enhanced rigidity necessitates the adoption of composite sandwich materials, typically comprising carbon fiber-reinforced polymer (C.F.R.P.) laminate skins bonded to an aluminum honeycomb core. …”
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Integrating Hyperspectral, Thermal, and Ground Data with Machine Learning Algorithms Enhances the Prediction of Grapevine Yield and Berry Composition by Shaikh Yassir Yousouf Jewan, Deepak Gautam, Debbie Sparkes, Ajit Singh, Lawal Billa, Alessia Cogato, Erik Murchie, Vinay Pagay

“…The use of multimodal data and machine learning (ML) algorithms could overcome these challenges. Our study aimed to assess the potential of multimodal data (hyperspectral vegetation indices (VIs), thermal indices, and canopy state variables) and ML algorithms to predict grapevine yield components and berry composition parameters. …”
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Modeling and prediction of tribological properties of copper/aluminum-graphite self-lubricating composites using machine learning algorithms by Huifeng Ning, Faqiang Chen, Yunfeng Su, Hongbin Li, Hengzhong Fan, Junjie Song, Yongsheng Zhang, Litian Hu

“…Herein, the LSBoost model based on the integrated learning algorithm presented the best prediction performance for friction coefficients and wear rates, with R 2 of 0.9219 and 0.9243, respectively. …”
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Agent swarms: Cooperation and coordination under stringent communications constraint. by Paul Kinsler, Sean Holman, Andrew Elliott, Cathryn N Mitchell, R Eddie Wilson

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Minimal Mass and Maximal Buckling Load of Composite Hexagonal-Triangle Grid Structure using FSDT under External Hydrostatic Pressure by Mahsa Soheil Shamaee, Ahmad Reza Ghasemi

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Algorithmization of the problem of videoscopic evaluation of the steel ropes state by Panfilov A.V., Yusupov A.R., Gavrikov M.M., Sinetsky R.M.

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Bioregionalization analyses with the bioregion R package by Pierre Denelle, Boris Leroy, Maxime Lenormand

“…The recent emergence of global databases, improvements in computational power and the development of clustering algorithms coming from the network theory have led to several major updates of the bioregionalizations of many taxa. …”
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Changes in the granulometric composition of a product overgranulated by balling with the use of "fattening" technology by Yu. A. Taran, R. V. Morozov, A. V. Taran, A. L. Taran

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A Matching Model for Ride-Sharing: A Non-Cooperative Game Approach Between Drivers and Riders by Hiroshi Shimamoto

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Cooperative control method for multi-agent ground fracturing truck group based on offline reinforcement learning by RuYi Wang, HuiShen Jiao, YingCheng Tian, Yi Zhao, SiQi Wang, Ke Zhang, Bo Huang, QinRui Sun, DanDan Zhu

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Optimizing the core loading pattern and fuel composition in a hexagonal small modular nuclear reactor via ANN-PSO approach by G.R. Ansarifar, M.R. Karimi, H. Zayermohammadi Rishehri

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A cooperative intrusion detection system for internet of things using fuzzy logic and ensemble of convolutional neural networks by Xiongwei Qiu, Lianzhi Shi, Pengtong Fan

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Fishery Web Service Composition Method Based on Ontology by Qing-mei YU, Lan WANG, Dong-mei HUANG

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lute: estimating the cell composition of heterogeneous tissue with varying cell sizes using gene expression by Sean K. Maden, Louise A. Huuki-Myers, Sang Ho Kwon, Leonardo Collado-Torres, Kristen R. Maynard, Stephanie C. Hicks

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Investigation of the Wear Behavior of AA6063/Zirconium Oxide Nanocomposites Using Hybrid Machine Learning Algorithms by R. Reena Roy, Leninisha Shanmugam, A. Vinothini, Nirmala Venkatachalam, G. Sumathy, Bhavadharini Murugeshan, P. Mercy Rajaselvi Beaulah, Gizachew Assefa Kerga

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Artificial intelligence: development in Russia and main beneficiaries by J. A. Konopleva, O. N. Pakova, R. Yu. Grigoryan

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The unresolved struggle of 16S rRNA amplicon sequencing: a benchmarking analysis of clustering and denoising methods by Mohamed Fares, Engy K. Tharwat, Ilse Cleenwerck, Pieter Monsieurs, Rob Van Houdt, Peter Vandamme, Mohamed El-Hadidi, Mohamed Mysara

“…Numerous algorithms have been developed to eliminate these errors and consolidate the output into distance-based Operational Taxonomic Units (OTUs) or denoising-based Amplicon Sequence Variants (ASVs). …”
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Nutrient Availability and Pathogen Clearance Impact Microbiome Composition in a Gnotobiotic Kimchi Model by Devin H. Bemis, Carly E. Camphausen, Esther Liu, Joshua J. Dantus, Josue A. Navarro, Kieren Leif Dykstra, Leila A. Paltrowitz, Mariia Dzhelmach, Markus Joerg, Pamil Tamelessio, Peter Belenky

“…We tracked pH, colony-forming units (CFUs), and community composition over time. We also used Oxford Nanopore sequencing to analyze the 16S rRNA gene (V4–V9), followed by use of the Emu algorithm for taxonomic assignments. …”
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Wear analysis and optimization of nanoclay and copper coated carbon fiber strengthened hybrid aluminium composite by N. Senthilkumar, K. Gajalakshmi, K. Palanikumar, B. Deepanraj, Abdul Rahman Afzal

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