A quasi affine transformation evolution algorithm with evolution matrix selection operation for parameter estimation of proton exchange membrane fuel cells by Mohammad Aljaidi, Pradeep Jangir, Sunilkumar P. Agrawal, Sundaram B. Pandya, Anil Parmar, Samar Hussni Anbarkhan, Laith Abualigah

“…Some of the major benefits of these PEMFCs especially in power system applications include low emission of carbon, fast load following capability, no noise and high start-up reliability. It is challenging to find the best PEMFC parameters because the model is complex and the problem is nonlinear; not all optimization algorithms can solve this problem. …”
Get full text

A Hybrid RBF-PSO Framework for Real-Time Temperature Field Prediction and Hydration Heat Parameter Inversion in Mass Concrete Structures by Shi Zheng, Lifen Lin, Wufeng Mao, Yanhong Wang, Jinsong Liu, Yili Yuan

“…These findings guided a phased optimization strategy, as follows: prioritizing high-precision calibration of dominant parameters while relaxing constraints on low-sensitivity variables, thereby balancing accuracy and computational efficiency. …”
Get full text

Spatiotemporal evolution and driving forces of landscape ecological risk in the lower reaches of the Yellow River from 2000 to 2020 by Yu Lin, Jie Zhou, Jin Wang, Hao Xu, Yan Li, Feiyong Chen, Yaohui Liu

Get full text

Optimizing Photovoltaic Panel Performance: A Comparative Study of Meta-Heuristic Algorithms by M. Sundar Rajan

“…This paper addresses the parameter estimation of four distinct PV panel models—PV-RTC, PV-PWP 201, PV-STM6 40/36, and PV-STP6 120/36—using a range of meta-heuristic optimization algorithms. …”
Get full text

Forecasting Pollution Using Numerical Simulation Implementing Artificial Bee Colony Optimization by Geeta Arora, Harshdeep Kaur, Homan Emadifar, Samaneh Roudgarnejad, Hesam Emadifar

“…Since exponential B-spline involves a parameter, the artificial bee colony optimization algorithm is implemented to find the unknown parameters that result in the minimum error. …”
Get full text

Assessing the sustainability of combined heat and power systems with renewable energy and storage systems: Economic insights under uncertainty of parameters. by Emad A Mohamed, Mostafa H Mostafa, Ziad M Ali, Shady H E Abdel Aleem

Get full text

Surface roughness measurements in NFMQL assisted turning of titanium alloys: An optimization approach by Munish K. Gupta, P. K. Sood

“…Then the multiple regression technique is used to find the relationship between the given responses and input parameter. …”
Get full text

Transformer-Based Optimization for Text-to-Gloss in Low-Resource Neural Machine Translation by Younes Ouargani, Noussaim El Khattabi

“…To optimize our transformer-based model and obtain the optimal hyper-parameter set, we propose a consecutive hyper-parameter exploration technique. …”
Get full text

Enhancing 3D Printing Copper-PLA Composite Fabrication via Fused Deposition Modeling through Statistical Process Parameter Study by Mahmoud Moradi, Omid Mehrabi, Fakhir A. Rasoul, Anas Abid Mattie, Friedemann Schaber, Rasoul Khandan

“…Also, the optimal factor values were obtained. The findings highlight that layer thickness and infill percentage significantly influence the weight of the samples, with an observed increase as these parameters are raised. …”
Get full text

An epidemiological model for analysing pandemic trends of novel coronavirus transmission with optimal control by Tahir Khan, Fathalla A. Rihan, Qasem M. Al-Mdallal

“…Using the dynamics and parameters sensitivity, we then introduce optimal control strategies for the elimination of the disease. …”
Get full text

The quality optimization of English–Chinese machine translation based on deep neural networks by Ping Lu, Fangfang Xu

“…The findings provide valuable insights for future research and practical applications. …”
Get full text

Optimizing Concrete Mix Design for Cost and Carbon Reduction Using Machine Learning by Angga T. Yudhistira, Arief S. B. Nugroho, Iman Satyarno, Tantri N. Handayani, Malindu Sandanayake, Rimba Erlangga, Jonathan Lianto, Alfa Rosyid Ernanto

“…The research findings provide critical insights into the importance of using innovative techniques to optimize sustainable concrete mixes, accelerating the market implementation of products with cost benefits.…”
Get full text

Topology‐Optimized Bound States in the Continuum with High‐Q Acoustic Field Enhancement by Weibai Li, Kazem Ghabraie, Xiaodong Huang

“…By engineering quasi‐BIC modes and experimentally validating sharp pressure field enhancements, a robust technique that enables precise tuning of resonance frequencies and improves resilience against external perturbations, which is challenging for the conventional parameter‐tuning approach is presented. These findings show promise for advancing wave‐confining applications, such as energy harvesting and acoustic filtering, while pushing the performance boundaries of acoustic devices.…”
Get full text

Integrating temporal convolutional networks with metaheuristic optimization for accurate software defect prediction. by Ahmed Abdelaziz, Alia Nabil Mahmoud, Vitor Santos, Mario M Freire

“…Two models are proposed to address the research problem: (a) a basic TCN without parameter optimization and (b) a hybrid model integrating TCN with ALO. …”
Get full text

Integrated Analysis of Optimization and Settlement Characteristics in Hybrid Pile Systems for Reused Foundations by Jingsen Niu, Zheng Yang, Siyu Yin, Shengzhao Cheng

“…However, the interaction mechanisms between new and existing piles under a shared cap remain unclear, restricting the size setting and further optimization of new piles in existing pile foundation environments. …”
Get full text

Explanation and Optimizing Multi‐Model Blending Algorithm Using Random Variables Theory by Yu Wang, Yong Cao, Yue Shen, Ruixia Zhao, Xiaoqing Zeng, Li Yao, Kan Dai

Get full text

Monitoring Environmental and Structural Parameters in Historical Masonry Buildings Using IoT LoRaWAN-Based Wireless Sensors by Noëlla Dolińska, Gabriela Wojciechowska, Łukasz Bednarz

“…Seasonal variations highlighted the cyclical nature of these changes, emphasizing the need for seasonal maintenance. Additionally, the findings suggest that managing temperature and humidity levels can optimize the building’s energy efficiency by reducing the need for additional heating or cooling. …”
Get full text

Sensitivity Analysis of 3D Printing Parameters on Mechanical Properties of Fused Deposition Modeling-Printed Polylactic Acid Parts by Marta Mencarelli, Mattia Sisella, Luca Puggelli, Bernardo Innocenti, Yary Volpe

“…These findings establish a foundation for further optimization and material selection in future additive manufacturing research.…”
Get full text

JVM optimization: An empirical analysis of JVM configurations for enhanced web application performance by Darlan Noetzold, Anubis Graciela de Moraes Rossetto, Luis Augusto Silva, Paul Crocker, Valderi Reis Quietinho Leithardt

“…This research presents software for empirically analyzing Java Virtual Machine (JVM) parameter configurations to enhance web application performance. …”
Get full text

Comparison and general law research of multiple machine-learning models for proton exchange membrane electrolytic cell parameters prediction by Yukun Wang, Hai-Wen Li, Wenhan An, Yudong Mao, Kaimin Yang, Jiying Liu

“…These findings highlight the superiority of ensemble learning frameworks and optimization-based models with global search capabilities in predicting PEMEC parameters. …”
Get full text