Electrowetting display of multiscale Gamma based on dynamic histogram equilibrium by Mingzhen Chen, Zhixian Lin, Shanling Lin, Jianpu Lin, Tailiang Guo

“…The experimental results demonstrate that the images processed by this algorithm after brightness enhancement show certain improvements in objective evaluation indicators. …”
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Risk assessment of water inrush from coal floor based on enhanced samples with class distribution by Shiwei Liu, Jiaxin Zhao, Hao Yu, Jiaqi Chen

“…A prediction model of the water inrush risk for the coal seam floor was established using a coupled algorithm of extreme learning machines, self-adaptive differential evolution, and CDMTD (PCA-CDMTD-SaDE-ELM) and was used to evaluate the water inrush risk in the 19,105 working face of the Yunjialing Mine. …”
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A New Framework for Dynamic Educational Marketing Segmentation in Student Recruitment: Optimizing Fuzzy C-Means with Metaheuristic Techniques by Rizal Bakri, Bobur Sobirov, Niken Probondani Astuti, Ansari Saleh Ahmar, Pawan Kumar Singh

“…This study develops a new framework for dynamic educational marketing segmentation in student recruitment by optimizing FCM using three metaheuristic techniques: Genetic Algorithm (GA), Particle Swarm Optimization (PSO), and Differential Evolution (DE). …”
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Host-symbiont-gene phylogenetic reconciliation by Menet, Hugo, Trung, Alexia Nguyen, Daubin, Vincent, Tannier, Eric

“…We evaluate the capacity of our method on simulated data, notably its capacity to infer horizontal gene transfers, and its ability to detect hostsymbiont co-evolution by comparing host/symbiont/gene and symbiont/gene models based on their estimated likelihoods. …”
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From attributes to communities: a novel approach in social network generation by Muhtar Çağkan Uludağlı, Kaya Oğuz

“…Our method is compared against other node-attributed social network generators in the area with using both different evaluation metrics and a real-world dataset. …”
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Development and Optimization of a Novel Semi-Submersible Floater for Floating Wind Turbines in the South China Sea by Yiming Zhong, Wenze Liu, Wei Shi, Xin Li, Shuaishuai Wang, Constantine Michailides

“…To accommodate the trend toward larger FOWTs, an optimization procedure for scaling up floater designs is developed in this study. Using a differential evolution algorithm, the optimization process adjusts column diameter and spacing while considering motion response and steel usage constraints. …”
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Optimization Research on Magnetic Interference Parameter Identification and Compensation for AUV Platforms by Haodong Wen, Guohua Zhou, Kena Wu, Xinkai Hu, Liezheng Tang, Shuai Xia

“…The Success History-based Adaptive Differential Evolution with Linear Population Size Reduction (L-SHADE) algorithm is employed to optimize and identify model parameters for solving the magnetic field, and Back Propagation Neural Network (BPNN) is designed and optimized through training to enable the direct estimation of the true magnetic field from the measured magnetic field. …”
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MetaForecaster: A PSO-Driven Neural Model for Sustainable Industrial Air Quality Management by Marzia Ahmed, Shahrin Islam, Mohd Herwan Sulaiman, Md Maruf Hassan, Touhid Bhuiyan

“…Comparative analyzes with established hybrid forecasting approaches, such as Genetic Algorithm-NN, Simulated Annealing-NN, and Differential Evolution-NN, demonstrate the superior performance of the proposed PSO-NN model, achieving notably low prediction errors (MSE: <inline-formula> <tex-math notation="LaTeX">$1.1941 \times 10^{-7}$ </tex-math></inline-formula>), MAPE: 0.0016 and a high coefficient of determination (<inline-formula> <tex-math notation="LaTeX">$R^{2}$ </tex-math></inline-formula>: 0.99999). …”
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Research on concrete structure damage detection based on piezoelectric sensing technology and morphological fractal method by Hanqing Zhong, Liwei Shuai, Dongmin Deng

“…The research results show that the signal corrosion algorithm based on mathematical morphology can significantly enhance the contrast of the steepness characteristics of wave peaks at different damage stages, thereby more effectively capturing the self-similarity characteristics of signal waveforms. …”
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NEW ORGANIZATION PROCESS OF FEATURE SELECTION BY FILTER WITH CORRELATION-BASED FEATURES SELECTION METHOD by Olga Solovei

“…A new organization process for feature selection which is proposed in current work combines filter and learning algorithm properties in evaluation strategy which helps to choose the optimal feature subset for predefined learning algorithm. …”
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Enhancing Rare Class Performance in HOI Detection with Re-Splitting and a Fair Test Dataset by Gyubin Park, Afaque Manzoor Soomro

“…However, as shown in the Experiment and Evaluation subsection, a high level of performance can be achieved for the general case using different few-shot and rare-class training instances. …”
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Optimal design strategy of traditional courtyard based on performance and data-driven method—A case study of Yanshen ancient town, China by Zhixin Xu, Xin Zheng, Xiangfeng Li

“…Additionally, SHAP analysis of the independent variables in the algorithm reveals distinct influencing trends under different performance labels. …”
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Modelling maintenance scheduling strategies for highway networks. by Bao Tong, Jianwei Wang, Xue Wang, Feihao Zhou, Xinhua Mao, Yaxin Duan

“…A simulated annealing algorithm and augmented Lagrange algorithm are employed to solve the two proposed models, respectively. …”
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Collision Avoidance Method for Autonomous Ships Based on Modified Velocity Obstacle and Collision Risk Index by Ke Zhang, Liwen Huang, Yixiong He, Liang Zhang, Weiguo Huang, Cheng Xie, Guozhu Hao

“…It can effectively consider the randomness, ambiguity, and incompleteness of the information in the ship collision risk evaluation process. Moreover, reachable collision-free velocity sets under different encounter situations and optimal steering angle model are constructed. …”
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Optimization of grounding resistance in multitrain DC subway system based on MOEA/D‐DE by Na Liu, Guifu Du, Fei He, Qiaoyue Li, Fengchuan Xu, Weiguo Huang, Xingxing Jiang, Zhongkui Zhu

“…Here, the grounding resistance of OVPD is optimized by a proposed multi‐objective decomposition algorithm based on differential evolution (MOEA/D‐DE) to suppress the rise of RP and SC synergistically. …”
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Global Single-Shot Indoor Localization of Autonomous Flight Robots With Minimal Sensor Configuration by Timm von Bergen, Sascha Rock

“…Afterwards, one of two methods is employed: a randomized coarse-to-fine search, in which the search space is iteratively reduced, or a parallel differential evolution algorithm, which enhances pose estimates with evolutionary algorithms while avoiding premature convergence. …”
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Integrated Scheduling of Multi-Objective Job Shops and Material Handling Robots with Reinforcement Learning Guided Meta-Heuristics by Zhangying Xu, Qi Jia, Kaizhou Gao, Yaping Fu, Li Yin, Qiangqiang Sun

“…Second, three meta-heuristics, i.e., genetic algorithm (GA), differential evolution, and harmony search, are employed, and their variants with seven local search operators are devised to enhance solution quality. …”
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Aircraft Multi-stage Altitude Prediction Under Satellite Signal Loss by Mengchan HUANG, Qiang MIAO

“…Several comparative experiments are designed to comprehensively evaluate the LTCA–TCN altitude prediction algorithm proposed herein. …”
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Screening of serum biomarkers in patients with PCOS through lipid omics and ensemble machine learning. by Ji-Ying Chen, Wu-Jie Chen, Zhi-Ying Zhu, Shi Xu, Li-Lan Huang, Wen-Qing Tan, Yong-Gang Zhang, Yan-Li Zhao

“…Through analyzing the classification of differential lipid metabolites and the association between differential lipid metabolites and clinical indexes, ensemble machine learning, data preprocessing, statistical test pre-screening, ensemble learning method secondary screening, biomarkers verification and evaluation, and diagnostic panel model construction and verification were performed on the data of untargeted lipidomics. …”
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Time-Delay following Model for Connected and Automated Vehicles with Collision Conflicts and Forced Deceleration by Wenbo Wang, Fei Hui, Kaiwang Zhang, Xiangmo Zhao, Asad J. Khattak

“…Additionally, the model parameters are calibrated using real vehicle data from urban roads combined with an improved salp swarm algorithm. Finally, the evolution rule of disturbance in the traffic flow under different states is analyzed using a time-space diagram, and the DIDM-CSCL model is compared with the classical IDM. …”
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