Evaluating Machine Learning Models for Predicting Hardness of AlCoCrCuFeNi High-Entropy Alloys by Uma Maheshwera Reddy Paturi, Muhammad Ishtiaq, Pasupuleti Lakshmi Narayana, Anoop Kumar Maurya, Seong-Woo Choi, Nagireddy Gari Subba Reddy

“…This study evaluates the predictive capabilities of various machine learning (ML) algorithms for estimating the hardness of AlCoCrCuFeNi high-entropy alloys (HEAs) based on their compositional variables. …”
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Investigation on the Radar Scattering and Doppler Spectrum From Trimaran Based on the Motion of Six Degrees of Freedom by Yuxin Deng, Jinxing Li, Wangqiang Jiang, Min Zhang

“…Second, an accelerated geometrical optics and physical optics algorithm using the light source function (GO-PO/LSF) is proposed, which uses the light source function to realize the visibility judgment of surfaces and greatly reduces the computation time. …”
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Modeling and Analysis of Intrabody Communication for Biometric Identity in Wireless Body Area Networks by Igor Khromov, Leonid Voskov, Mikhail Komarov

“…This paper analyzes a dataset with experimental real subjects’ data on signal loss in a galvanic IBC channel, models IBC identification using the K-Nearest Neighbors (KNN) algorithm, and proposes a novel IBC WBAN architecture incorporating an identification function. …”
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Machine learning-based prediction of speed of sound in fatty acid ethyl esters by Kusum Yadav, Shahad Almansour, Lulwah M. Alkwai, Anupam Yadav, Mehrdad Mottaghi

“…CNN achieved an R² value of 0.9996, with low average absolute relative error and mean squared error, outperforming other tested algorithms. The dataset, consisting of 371 experimental data points, was validated using the Leverage algorithm to ensure reliability. …”
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Programmable friction control in 3D printed patterned multi-materials: a flexible design strategy by Xinle Yao, Yuxiong Guo, Mingyang Wang, Yaozhong Lu, Zhibin Lu, Xin Jia, Yu Gao, Xiaolong Wang

“…The explainable ML model (linear regression algorithm) analyzes composite-specific tribological and physicochemical data (100 data) to autonomously design patterning surfaces with programmable friction coefficients, validated experimentally (μ = 0.07 ∼ 0.49). …”
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Development of data driven models to accurately estimate density of fatty acid ethyl esters by Walid Abdelfattah, Munthar Kadhim Abosaoda, Hardik Doshi, H. S. Shreenidhi, Manoranjan Parhi, Devendra Singh, Prabhjot Singh, Abdolali Yarahmadi Kandahari

“…The objective of this study is to construct advanced predictive algorithms using various machine learning methods, including AdaBoost, Decision Trees, KNN, Random Forests, Ensemble Learning, CNN, and SVR. …”
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Community Energy Sharing Market Model Considering Flexible Resources on Demand Side by Xin AI, Limin XU

“…An iterative algorithm is presented to clear the market and minimize the uncertainty of power supply and demand. …”
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Solving Action Semantic Conflict in Physically Heterogeneous Multi-Agent Reinforcement Learning with Generalized Action-Prediction Optimization by Xiaoyang Yu, Youfang Lin, Shuo Wang, Sheng Han

“…We integrate the GAPO into both value-based and policy-based MARL algorithms, giving rise to two practical algorithms: G-QMIX and G-MAPPO. …”
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Self‐Driving Lab for Solid‐Phase Extraction Process Optimization and Application to Nucleic Acid Purification by Sebastian Putz, Jonathan Döttling, Tim Ballweg, Andre Tschöpe, Vitaly Biniyaminov, Matthias Franzreb

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DMRG study of the theta-dependent mass spectrum in the 2-flavor Schwinger model by Etsuko Itou, Akira Matsumoto, Yuya Tanizaki

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Leader-follower Optimal Selection Method for Distributed Control System in Active Distribution Networks by Jian Le, Liangang Zhao, Cao Wang, Qian Zhou, Yang Wang

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Research on Business Operation Mode of Hydrogen Integrated Energy System Based on NSGA-II and Entropy Weight Method by Tong FANG, Dongfang JIANG, Yang YANG, Tiejiang YUAN

“…Firstly, considering each investor, two operation modes, multi link energy supply mode and multi-party cooperative energy supply mode, are proposed; Finally, the energy selling price of each company in the operation process is determined with the goal of the highest net income of the production capacity company and the energy supply company and the lowest price of each energy sold to users; The fast non dominated multi-objective optimization algorithm with elitist retention strategy (NSGA-II) is used to determine the Pareto solution set of the optimal price under each mode. …”
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Multi-Beam Focusing and Deflecting Characteristics of Liquid Crystal Optical Phased Array by Xue Xu, Lin Xu, Xitong Liang, Jun Dai

“…Meanwhile, based on the Gerchberg–Saxton algorithm (GS algorithm) and the method of lens phase superposition, we achieved a composite function of multiple-beam fan-out with focusing function by simulation and experiment. …”
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Single and multi-objective real-time optimisation of an industrial injection moulding process via a Bayesian adaptive design of experiment approach by Mandana Kariminejad, David Tormey, Caitríona Ryan, Christopher O’Hara, Albert Weinert, Marion McAfee

“…The multi-objective optimisation techniques, composite desirability function and Nondominated Sorting Genetic Algorithm (NSGA-II) using the Response Surface Methodology (RSM) model, are compared with the real-time novel ADoE approach. …”
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A Data Reconciliation-Based Method for Performance Estimation of Entrained-Flow Pulverized Coal Gasification by Yan Zhang, Kai Yue, Chang Yuan, Jiahao Xiang

“…The thermodynamic equilibrium model is employed as constraints of the gasification and quench processes, and the Particle Swarm Optimization (PSO) algorithm is applied for parameter estimation. Measured data under stable and variable operating conditions are reconciled, detecting and eliminating a 12% error in syngas flow rate at the scrubber outlet, thereby improving gasification performance accuracy. …”
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RIME optimization with dynamic multi-dimensional random mechanism and Nelder–Mead simplex for photovoltaic parameter estimation by Yuanping Zheng, Fangjun Kuang, Ali Asghar Heidari, Lipei Yuan, Siyang Zhang, Huiling Chen

“…The rime optimization algorithm (RIME) is a recently proposed metaheuristic algorithm (MAs). …”
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Multiobjective optimization of a pressure maintaining ball valve structure based on RSM and NSGA-II by Pengyun Wen, Suling Wang, Jinbo Li, Kangxing Dong, Zhihui Ren, Yanchun Li, Ruyi Qu, Tingting Li

“…Using response surface methodology (RSM) and central composite design (CCD), a regression model was developed to correlate  $${D}_{5}$$ ,  $${L}_{2}$$ , and  $${L}_{6}$$ with  $${\upsigma }_{{\max}}$$ and S. …”
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An efficient privacy-preserving multilevel fusion-based feature engineering framework for UAV-enabled land cover classification using remote sensing images by S. Nagadevi, G. Abirami, R. Brindha, T. Prabhakara Rao, Gyanendra Prasad Joshi, Woong Cho

“…Current technological advances have made it simpler to set up an unmanned aerial system with composite topology to reach refined missions that were formerly impossible without real human connections. …”
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Progress and future direction of independently developed reservoir numerical simulation software in Shengli Oilfield by ZHANG Zhiqiang, YANG Yaozhong, ZHANG Shiming, YU Jinbiao, CAO Weidong, HU Huifang

“…Through years of dedicated research， Shengli Oilfield has developed a series of proprietary software， including a 3D three-phase black oil model， as well as compositional numerical simulation software for chemical flooding and CO2 flooding. …”
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Statistics on the Industry Structure of the Russian Economy and its Optimization Model by O. V. Morozov, M. A. Vasiliev

“…The theoretical foundations, the procedure and algorithms for studying the structure of multicomponent (discrete) systems are presented. …”
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