Advancement of nanoparticles in blood flow with non-linear radiation and optimisation of irreversibility within the microchannel using analysis of variance and Taguchi approach by Pradeep Kumar, Felicita Almeida, Ajaykumar AR, Qasem Al-Mdallal

“…This method has proposed the optimal values for the parameters to achieve the least entropy. …”
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Exploring the Key Features of Repeating Fast Radio Bursts with Machine Learning by Wan-Peng Sun, Ji-Guo Zhang, Yichao Li, Wan-Ting Hou, Fu-Wen Zhang, Jing-Fei Zhang, Xin Zhang

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Analysis and Optimization of Laser Beam Welding Parameters for Aluminium Composite (Al-Zn-Cu Alloy) by Grey Relational Optimization by Nitish Kumar Singh, Balaguru Sethuraman, Manoj Gupta

“…The standard deviation objective weighting–grey relational optimization method optimized the process parameter. …”
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Effects of Control for Electronic Expansion Valve on Performance of Air-source Heat-pump Water Heater by Yu Zhongyang, Tao Leren, Yuan Chaoyang, Wang Chao

“…The maximum optimization ratio on system COP for the method of controlling the electronic expansion valve via the superheated temperature in the compressor suction (optimization #2) is lower than that for optimization #1, at 4.2%. …”
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RESEARCH ON APPLICABILITY OF BIONIC TECHNIQUES OF ARTIFICIAL BEE COLONIES FOR IMPLEMENTATION OF CLASSICAL TRANSPOSITION CIPHER CRYPTANALYSIS by Yury Olegovich Chernyshev, Alexander Sergeyevich Sergeyev, Engeny Olegovich Dybrov, Alexander Nikolaeyvich Ryazanov

“…The problem is a classical optimization problem to the solution of which the known techniques of artificial bee colonies fallen within a relatively new class of bioinspired opti mization methods are applied. …”
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Improved Design of an Eddy-Current Speed Sensor Based on Harmonic Modeling Technique by Duy-Tinh Hoang, Manh-Dung Nguyen, Yong-Joo Kim, Anh-Tuan Phung, Kyung-Hun Shin, Jang-Young Choi

“…An improved analytical model (AM) based on harmonic modeling (HM) is developed to account for the effects of core permeability, validated through finite element analysis (FEA), demonstrating excellent agreement between the two methods. Based on this model, the optimal dimensions of the proposed design are obtained, and comprehensive analyses of shaft materials and excitation source parameters are performed. …”
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Extraction and antitumor activity evaluation of small molecular weight collagen peptides from Chinese giant salamander (Andrias davidianus) skin by Ting Ye, Xiang Zhang, Jiahui Li, Shumao He, Jianlin Luo, Jianguo Lu, Can Li

“…The skin of the Chinese giant salamander (Andrias davidianus) is a rich source of collagen. However, current research indicates limited efficiency and activity in collagen protease hydrolysis from this source. …”
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An evidence-informed, community-engaged approach to designing a large-scale, impact-oriented research funding initiative to foster the implementation of transformative integrated c... by Nida Shahid, Jessica Nadigel, Rhonda Boateng, Richard H. Glazier, Meghan McMahon

“…Methods A multi-method qualitative, community-engaged approach was used to inform the design of a research funding strategy. …”
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Advanced thermal management in X-ray systems using magnetohydrodynamic nanofluids and Cattaneo-Christov heat flux model by Maryam Johari, Hossein Ali Hoshyar, Esmail Dabirian, Davood Domiri Ganji

“…These equations are then solved using the Homotopy Perturbation Method and the fourth-order Runge–Kutta technique. …”
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Reinforcement Learning Agent for Multi-Objective Online Process Parameter Optimization of Manufacturing Processes by Akshay Paranjape, Nahid Quader, Lars Uhlmann, Benjamin Berkels, Dominik Wolfschläger, Robert H. Schmitt, Thomas Bergs

“…The results demonstrate the feasibility of the proposed method for real-time industrial deployment. Moreover, Pareto-optimality is verified via half-space analysis, emphasizing the framework’s effectiveness in managing trade-offs among competing objectives.…”
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Segmentation Performance and Mapping of Dunes in Multi-Source Remote Sensing Images Using Deep Learning by Pengyu Zhao, Jiale An, Jianghua Zheng, Wanqiang Han, Nigela Tuerxun, Bochao Cui, Xuemi Zhao

“…However, the diversity and complexity of the dune morphology present significant challenges when using traditional classification methods, particularly in feature extraction, model parameter optimization, and large-scale mapping. …”
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Assessment of factors influencing the citation level of scientific publications in the field of sport and physical activity by Sergii Iermakov, Georgiy Korobeynikov

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Stress Tolerance and Organic Acid Productivity of Fungal Strains Isolated from Local Agricultural Sources by Christopher Osazuwa

“…Environmental stress tolerance and organic acid productivity were assessed using cultural methods. Aspergillus niger and Trichoderma viride showed highest tolerance to temperature and pH. …”
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On Approximation of Entropy Solutions for One System of Nonlinear Hyperbolic Conservation Laws with Impulse Source Terms by Ciro D'Apice, Peter I. Kogut, Rosanna Manzo

“…Using the vanishing viscosity method and the so-called principle of fictitious controls, we show that entropy solutions to the original Cauchy problem can be approximated by optimal solutions of special optimization problems.…”
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Bayesian model parameter learning in linear inverse problems: application in EEG focal source imaging by Alexandra Koulouri, Ville Rimpiläinen

“…In addition, alternating optimization was used as a reference method. As an example application, we focused on the problem of reconstructing brain activity from EEG recordings (a.k.a. …”
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Real-time prediction model of public safety events driven by multi-source heterogeneous data by Quanlong Fan, Gang Xu

“…To address the challenge of efficiently integrating multi-source heterogeneous data to improve the accuracy of public safety event prediction, this study proposes and validates a novel public safety event prediction model, GATPNet, based on multi-source heterogeneous data. …”
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Regional Soil Moisture Estimation Leveraging Multi-Source Data Fusion and Automated Machine Learning by Shenglin Li, Pengyuan Zhu, Ni Song, Caixia Li, Jinglei Wang

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Optimal Subsampling for Upper Expectation Parametric Regression by Zhaolei Liu

“…Under certain assumptions, this method satisfies the condition of asymptotic normality. …”
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Pathological Voice Source Analysis System Using a Flow Waveform-Matched Biomechanical Model by Xiaojun Zhang, Lingling Gu, Wei Wei, Di Wu, Zhi Tao, Heming Zhao

“…A fitting procedure combining genetic particle swarm optimization and a quasi-Newton method was developed to optimize the biomechanical model parameters and match the targeted voice source. …”
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Numerical Aeroacoustic Assessment of a Metacontinuum Device Impinged by a Laser-Generated Sound Source by Giada Colombo, Giorgio Palma, Umberto Iemma

“…In the present paper, the response of a spacetime-corrected metacontinuum is coupled with a high-fidelity aeroacoustic model of the hosting fluid to allow for the modelling of actual experimental realizations of a laser-generated sound source. The availability of a reliable model to couple the convective metacontinuum design with the heat-release source would make possible the systematic cross-validation of the numerical simulations with the experimental results obtained in the most advanced testing facilities, paving the way to an effective inclusion of metacontinuum-based devices in aeronautics and, finally, in a simulation-based, multidisciplinary design optimization framework. …”
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