System frequency response model and droop coefficient setting considering renewable energy participation in frequency regulation by Yuyan Song, Yongjie Zhang, Shuai Zhang, Fang Liu, Yunche Su, Yang Liu

“…Thus, this paper proposes a method where RES utilize suitable means to reduce load, thereby contributing to frequency regulation. …”
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Semi-analytical approach for solving the mathematical model of solid-phase diffusion in electrodes: An application of modified differential transform method by Shivaranjini S, Neetu Srivastava

“…Lithium-ion batteries (LIBs) have powered the modern world to propel electric vehicles (EVs) and renewable energy sources. These technologies demand higher efficiency and reliability, thereby providing robust mathematical methods are essential for optimizing species diffusion in lithium-ion (Li-ion) cells. …”
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Gradient Descent-Based Parameter Estimation for Ultra Short Baseline by Yongcheol Kim, Haklim Ko, Hojun Lee

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Flow Modeling in Pelton Turbines by an Accurate Eulerian and a Fast Lagrangian Evaluation Method by A. Panagiotopoulos, A. Židonis, G. A. Aggidis, J. S. Anagnostopoulos, D. E. Papantonis

“…Some commercial and open-source CFD codes, which implement Eulerian methods, have been validated against experimental results showing satisfactory accuracy. …”
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An Intelligent Method for C++ Test Case Synthesis Based on a Q-Learning Agent by Serhii Semenov, Oleksii Kolomiitsev, Mykhailo Hulevych, Patryk Mazurek, Olena Chernyk

“…Most traditional test suite optimization methods treat test cases as atomic units, without analyzing the utility of individual instructions. …”
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Optimization of distribution networks using quantum annealing for loss reduction and voltage improvement in electrical vehicle parking management by Naser Rashnu, Babak Mozafari, Reza Sharifi

“…This paper explores the integration of Electric Vehicle (EV) parking lots into power distribution networks (DNs) and proposes a quantum-based optimization framework to enhance grid performance. As EV and renewable energy source (RES) penetration increases, coordinated EV charging and discharging becomes critical for reducing power losses, improving voltage profiles, and supporting energy storage management. …”
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GLTDNet: Cross-Domain Road Extraction Through Collaborative Optimization of Global-Local Feature Enhancement and Topological Decoupling by Jie Chen, Changxian He, Hao Wu, Jun Zhang, Siqiang Rao, Songshan Zhou, Jingru Zhu

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Numerical simulation on aerodynamic noise of 120 km/h metro train by YAN Lei, YOU Tianyv, YANG Zhigang

“…Through the numerical simulation method, based on the 1:8 scaled model of 3-vehicle marshalling with bogies and without pantograph, using the topology optimization, multi-layer mesh refinement technology, boundary layer mesh technology and mesh stretching technology of the commercial meshing software ICEM to develop refined tetrahedral/triangular prism meshing, the computational domain mesh under the open-line operation was built. …”
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Inversion Method for Permitting Loadings of Pollutant from Lateral Effluents Based on Adjoint Equations by SHI Xiaoyan, ZHANG Hong, TAO Chunhua, LU Lingjiang, WAN Xin, LIU Zhaowei

“…However, optimization objectives that rely on discrepancies between predicted and observed concentrations cannot be directly applied to determine the permissible loadings, limiting the application of the adjoint equation method to this issue. …”
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Inversion Method for Permitting Loadings of Pollutant from Lateral Effluents Based on Adjoint Equations by SHI Xiaoyan, ZHANG Hong, TAO Chunhua, LU Lingjiang, WAN Xin, LIU Zhaowei

“…However, optimization objectives based on the discrepancies between predicted and observed concentrations cannot be straightforwardly employed for determining the permissible loadings, thus restricting the application of the adjoint equation method to this issue. …”
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Design and Optimization Strategy of a Net-Zero City Based on a Small Modular Reactor and Renewable Energy by Jungin Choi, Junhee Hong

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Multi-clustering algorithm based on improved tensor chain decomposition by ZHANG Hongjun, ZHANG Zeyu, ZHANG Yingjiao, YE Hao, PAN Gaojun

“…Based on this, the application of tensor decomposition technology in multi-clustering algorithms was focused on especially for the processing of large multi-source heterogeneous datasets. The tensor train (TT) method was studied and improved in depth, which had significantly improved its performance in multi-clustering tasks by introducing a new optimization strategy. …”
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Design and Optimization of Collimator for Preclinical Single-photon Emission Computed Tomography Scanner: A Monte Carlo Study by Mohammad Mirdoraghi, Behnoosh Teimourian Fard, Olga Kochebina, Hojjat Mahani, Mohammad Reza Ay

“…Introduction: Small animal imaging has an extensive variety of applications, including the design and optimization of novel imaging devices. Monte Carlo (MC) simulations are enhanced due to their high accuracy. …”
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Gaussian Process Regression Total Nitrogen Prediction Based on Data Decomposition Technology and Several Intelligent Algorithms by WANG Yongshun, CUI Dongwen

“…Total nitrogen (TN) is one of the important indicators to reflect the degree of water pollution and measure the eutrophication status of lakes and reservoirs.To improve the accuracy of TN prediction,based on the empirical wavelet transform (EWT) and wavelet packet transform (WPT) decomposition technology,this paper proposes a Gaussian process regression (GPR) prediction model optimized by osprey optimization algorithm (OOA),rime optimization algorithm (ROA),bald eagle search (BES) and black widow optimization algorithm (BWOA) respectively.Firstly,the TN time series is decomposed into several more regular subsequence components by EWT and WPT respectively.Then,the paper briefly introduces the principles of OOA,ROA,BES,and BWOA algorithms and applies OOA,ROA,BES,and BWOA to optimize GPR hyperparameters.Finally,EWT-OOA-GPR,EWT-ROA-GPR,EWT-BES-GPR,EWT-BWOA-GPR,WPT-OOA-GPR,WPT-ROA-GPR,WPT-BES-GPR,WPT-BWOA-GPR models (EWT-OOA-GPR and other eight models for short) are established to predict the components of TN by the optimized super-parameters.The final prediction results are obtained after reconstruction,and WT-OOA-GPR,WT-ROA-GPR,WT-BES-GPR and WT-BWOA-GPR models based on wavelet transform (WT) are built.Eight models,including EWT-OOA-SVM based on support vector machine (SVM),the paper compares the unoptimized EWT-GPR,WPT-GPR models,and the uncomposed OOA-GPR,ROA-GPR,BES-GPR,and BWOA-GPR models.The models were verified by the monitoring TN concentration time series data of Mudihe Reservoir,an important drinking water source in China,from 2008 to 2022.The results are as follows.① The average absolute percentage error of eight models such as EWT-OOA-GPR for TN prediction is between 0.161% and 0.219%,and the coefficient of determination is 0.999 9,which is superior to other comparison models,with higher prediction accuracy and better generalization ability.② EWT takes into account the advantages of WT and EMD.WPT can decompose low-frequency and high-frequency signals at the same time.Both of them can decompose TN time series data into more regular modal components,significantly improving the accuracy of model prediction,and the decomposition effect is better than that of the WT method.③ OOA,ROA,BES,and BWOA can effectively optimize GPR hyperparameters and improve GPR prediction performance.…”
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Measurement and optimization paths of the multidimensional development levels of counties in the Yellow River Basin: based on the sustainable livelihoods framework by Lisha Cheng, Lisha Cheng, Li Ma, Jiajun Qiao, Jiajun Qiao, Xiaoyue Li

“…This is achieved by comprehensively utilizing geospatial, socio-economic, and other multi-source data in combination with methods such as the entropy weight method, the Theil index, and spatial analysis. …”
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Comprehensive Analysis of Soil Physicochemical Properties and Optimization Strategies for “<i>Yantai Fuji 3</i>” Apple Orchards by Zhantian Zhang, Zhihan Zhang, Zhaobo Fan, Weifeng Leng, Tianjing Yang, Jie Yao, Haining Chen, Baoyou Liu

“…Accordingly, enhancing organic and calcium source fertilizers is recommended to boost OM and Ca levels, reduce acidification, and maintain EC within optimal limits. …”
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Comparison of methods for the quantification of cell-free DNA isolated from cell culture supernatant by Abel Jacobus Bronkhorst, Vida Ungerer, Stefan Holdenrieder

“…Although these are interesting findings, it can also be a great source of experimental confusion and emphasizes the importance of method optimization and standardization. …”
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Comprehensive evaluation and scenario simulation for determining the optimal conservation priority of ecological services in Danjiangkou Reservoir Area, China by Pengcheng Zhao, Lihui Wang, Yuhong Huang, Yifan Zhao, Qichi Yang, Jinliang Huang, Yun Du, Feng Ling

“…This study offers new insights into the quantification and visualization of the identification of optimal conservation priority. The outcomes serve as a reference for informing the protection and management strategies of water source areas and regions with a high supply of ESs.…”
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Multiscale Feature Modeling and Interpretability Analysis of the SHAP Method for Predicting the Lifespan of Landslide Dams by Zhengze Huang, Yuqi Bai, Hengyu Liu, Yun Lin

“…This study proposes a hybrid CNN–Transformer model optimized using the Improved Black-Winged Kite Algorithm (IBKA) aimed at improving the accuracy of landslide dam lifespan prediction by combining local feature extraction with global dependency modeling. …”
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Construction of Knowledge Graph for Marine Diesel Engine Faults Based on Deep Learning Methods by Xiaohe Tian, Huibing Gan, Yanlin Liu

“…Experiments show that the model significantly outperforms baseline methods such as HMM, CRF, and BiLSTM, and the graph visualization clearly presents the fault causality network, which supports knowledge reasoning and decision optimization. …”
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