Application Framework and Optimal Features for UAV-Based Earthquake-Induced Structural Displacement Monitoring by Ruipu Ji, Shokrullah Sorosh, Eric Lo, Tanner J. Norton, John W. Driscoll, Falko Kuester, Andre R. Barbosa, Barbara G. Simpson, Tara C. Hutchinson

“…Insights on optimal features for monitoring structural dynamic response are discussed based on statistical analysis of the error characteristics for the various reference target patterns used to track the structural displacements.…”
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STRUCTURAL SYNTHESIS OF NAVIGATION SUPPORT OF TRIAD INTEGRATED NAVIGATION SYSTEM ON THE BASIS OF INERTIAL AND SATELLITE TECHNOLOGIES by V. S. Maryukhnenko, V. V. Erokhin

“…Priori information about the dynamics of errors is more reliably known than the one about aircraft motion variables. …”
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Dynamic Deformation Analysis of Super High-Rise Buildings Based on GNSS and Accelerometer Fusion by Xingxing Xiao, Houzeng Han, Jian Wang, Dong Li, Cai Chen, Lei Wang

“…The NRBO-FMD method preprocesses GNSS and accelerometer data to mitigate GNSS multipath effects, unmodeled errors, and high-frequency noise in accelerometer signals. …”
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Performance analysis of DC-DC Buck converter with innovative multi-stage PIDn(1+PD) controller using GEO algorithm by Mostafa Jabari, Davut Izci, Serdar Ekinci, Mohit Bajaj, Ievgen Zaitsev

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A Flexible Framework for Decentralized Composite Optimization with Compressed Communication by Zhongyi Chang, Zhen Zhang, Shaofu Yang, Jinde Cao

“…Notably, when employing quasi-Newton updates, CE-DADMM becomes the first communication-efficient second-order algorithm based on compression that can efficiently handle composite optimization problems. Theoretical analysis shows that, even in the presence of compression errors, the proposed algorithm maintains exact linear convergence when the local objective functions are strongly convex. …”
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FONDUE—Fine-Tuned Optimization: Nurturing Data Usability & Efficiency by Valerie Restat, Indra Diestelkämper, Meike Klettke, Uta Störl

“…In this paper, we present FONDUE, our vision of a well-founded end-to-end data quality optimizer. In contrast to many studies that consider data cleaning in the context of machine learning, our approach focuses on various scenarios, such as when preprocessing and downstream analysis are separated. …”
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Innovative Design and Optimization of High-Quality Peanut Digging-Inverter by Haiyang Shen, Man Gu, Hongguang Yang, Jie Ling, Feng Wu, Fengwei Gu, Liang Pan, Zhaoyang Yu, Zhichao Hu

“…The experimental values for each evaluation index exhibit relative errors of 1.14%, 6.45%, 1.35%, and 0.13% compared to the optimized values provided by the Design-Expert software. …”
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Optimizing VGOS observations using an SNR-based scheduling approach by Matthias Schartner, Bill Petrachenko, Mike Titus, Hana Krásná, John Barrett, Dan Hoak, Dhiman Mondal, Ming Hui Xu, Benedikt Soja

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Modified Whale Optimization Algorithm for Multiclass Skin Cancer Classification by Abdul Majid, Masad A. Alrasheedi, Abdulmajeed Atiah Alharbi, Jeza Allohibi, Seung-Won Lee

“…The effectiveness of the framework is evaluated on two benchmark datasets, PH2 and Med-Node, achieving state-of-the-art classification accuracies of 95.48% and 98.59%, respectively. Comparative analysis with existing optimization algorithms and skin cancer classification approaches demonstrates the superiority of the proposed method in terms of accuracy, robustness, and computational efficiency. …”
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Multi-Spectral Optimization for Tissue Probing Using Machine Learning by Yarden Tzabari Kelman, Hadas Lupa Yitzhak, Nadav Shabairou, Shahaf Finder, Zeev Zalevsky

“…Combining the wavelengths produced impressive results compared to the results by each wavelength separately: both types of errors, false positive and false negative, decreased to less than 2%. …”
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Structural strength optimization design of ultra-high-pressure and ultra-wear-resistant pneumatic ball valve opened and closed at large explosion instantaneously using finite eleme... by Xianmei Liu, Mingcun Zhang

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Metaheuristic-Based Model Optimization of a Steam-Filled Chamber by Hubert Guzowski, Roman Senkerik, Maciej Smolka, Frantisek Gazdos, Miroslav Palka, Libor Pekar, Michal Pluhacek, Adam Viktorin, Tomas Kadavy, Aleksander Byrski, Zuzana Kominkova Oplatkova, Radek Matusu, Janusz Kacprzyk

“…The second used global optimization methods without any prior knowledge. The obtained parametric models were compared based on the quality of fit and the sensitivity and stability analysis of the obtained solutions. …”
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The Role of Misclassification and Carbon Tax Policies in Determining Payment Time and Replenishment Strategies for Imperfect Product Shipments by Chun-Tao Chang, Yao-Ting Tseng

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Assessment of Hull and Propeller Degradation Due to Biofouling Using Tree-Based Models by Nikos Themelis, George Nikolaidis, Vasilios Zagkas

“…The extra trees algorithm was selected, presenting a mean absolute percentage error of 1.1%. The analysis incorporates two prediction models corresponding to two different approaches. …”
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Experimental and Statistical Evaluations of Recycled Waste Materials and Polyester Fibers in Enhancing Asphalt Concrete Performance by Sara Laib, Zahreddine Nafa, Abdelghani Merdas, Yazid Chetbani, Bassam A. Tayeh, Yunchao Tang

“…Using multi-objective optimization through RSM-based empirical models, the study identified the optimal PF length of 5 mm in combination with BWP for achieving the best AC properties. …”
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Improved Prediction of Hourly PM_2.5 Concentrations with a Long Short-Term Memory Optimized by Stacking Ensemble Learning and Ant Colony Optimization by Zuhan Liu, Xianping Hong

“…To address the performance degradation in existing PM_2.5 prediction models caused by excessive complexity, poor spatiotemporal efficiency, and suboptimal parameter optimization, we employ stacking ensemble learning for feature weighting analysis and integrate the ant colony optimization (ACO) algorithm for model parameter optimization. …”
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Multiple Regression Analysis and Non-Dominated Sorting Genetic Algorithm II Optimization of Machining Carbon-Fiber-Reinforced Polyethylene Terephthalate Glycol Parts Fabricated via... by Anastasios Tzotzis, Nikolaos Efkolidis, Kai Cheng, Panagiotis Kyratsis

“…Finally, a set of extra experiments proved the validity of the model by exhibiting relative error values, between the measured and predicted roughness, below 10%.…”
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Theoretical study of C36 and O@C36 fullerene isomers with (C1, C2, Cs, D2, and D3h) symmetries: Geometry optimization, electrical properties, and spectroscopic analysis by Fouad Aljneed, Nabil Joudieh, Issam Aljghami, Khansaa Hussein, Nidal Chamoun

“…We studied geometry optimizations, relative stability, atomization energies, Fermi energy, energy gap, electronic properties, electric dipole moment, polarizabilities, and thermodynamic analysis, along with IR and NMR spectra. …”
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Application of quasi-oppositional driving training-based optimization for a feasible optimal power flow solution of renewable power systems with a unified power flow controller by Tushnik Sarkar, Chandan Paul, Susanta Dutta, Provas Kumar Roy, Ghanshyam G. Tejani, Ghanshyam G. Tejani, Seyed Jalaleddin Mousavirad

“…To represent the statistical analysis, pictorially box plots and error-bar plots are provided. …”
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Design and implementation of a cost-effective, safe, and precise lean-rich generating system for the evaluation of NOX storage reduction catalysts: performance analysis, statistica... by Javad Sajedifar, Seyyed Bagher Mortazavi, Hasan Asilian Mahabadi, Ali Khavanin, Mohammad Sharif Hosseini

“…The system was further evaluated under fan-on and fan-off modes to assess its performance under varying turbulent conditions. A detailed analysis was performed to determine the relative errors, time to reach steady-state conditions, and actual concentrations produced under different expected concentrations (NO: 100–200 ppm, O₂: 3–15 %, CO: 500–10,000 ppm, toluene: 64–8999 ppm, relative humidity: 0.14–22.69 %), space velocity (70,000–140,000 h⁻¹), bubbler flow rates (10–600 mL/min), and saturator temperatures (5–20 °C). …”
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