Three-stage hybrid scheduling method based on link adjustment and arc replacement for large-scale satellite ground station resource scheduling considering idleness rate by Shunyi Cao, Xiaolu Liu, Lei He

“…Then, a Local-tabu Optimization Operator Based on Arc Replacement (LTOO-AR) enhances the idleness rate by replacing task arcs while introducing a local-tabu strategy to prevent the algorithm from becoming trapped in local optima. …”
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The diagnostic accuracy of the ESC 0/1-hour algorithm in non-ST-segment elevation myocardial infarction in a crowded emergency department: a real-world experience from a single-cen... by Emre Kudu, Ahmet Enes Kucukardali, Mustafa Altun, Ümit Öztürk, Erhan Altunbaş, Sinan Karacabey, Erkman Sanri, Arzu Denizbasi

“…The European Society of Cardiology (ESC) 0/1-hour algorithm, utilizing high-sensitivity cardiac troponin T (hs-cTnT) levels, has demonstrated high diagnostic performance internationally. …”
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Beyond the Current Curve: A Novel Curve Warning System Considering Subsequent Curve Speed Limits by N. S. Manikandan, Ganesan Kaliyaperumal

“…This work presents a novel curve warning system that addresses the existing Advanced Driver-Assistance Systems (ADAS) limitations. While current ADAS offer curve warnings, they often lack the consideration of subsequent curve’s speed limit and distance, hindering optimal warning location calculations. …”
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Container Liner Shipping System Design Considering Methanol-Powered Vessels by Zhaokun Li, Xinke Yu, Jianning Shang, Kang Chen, Xu Xin, Wei Zhang, Shaoqiang Yu

“…Moreover, we propose an adaptive piecewise linearization approach combined with a genetic algorithm, which can efficiently solve large-scale instances. …”
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Dynamic Graph Neural Network for Garbage Classification Based on Multimodal Feature Fusion by Yuhang Yang, Yuanqing Luo, Yingyu Yang, Shuang Kang

“…An adaptive K-nearest neighbor algorithm is utilized to construct the dynamic graph structure, while the incorporation of a multi-head attention layer within the graph neural network facilitates the efficient aggregation of both local and global features. …”
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Skewed Multifractal Cross-Correlations Between Green Bond Index and Energy Futures Markets: A New Perspective Based on Change Point by Yun Tian, Zhihui Li, Jue Wang, Xu Wu, Huan Huang

“…This study is the first to use the Bayesian Estimator of Abrupt Change, Seasonality, and Trend (BEAST) algorithm to detect trend change points in the nexuses between the green bond index (Green Bond) and WTI of crude oil, gasoline, as well as natural gas futures. …”
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Automatic Synthesis of Recurrent Neurons for Imitation Learning From CNC Machine Operators by Hoa Thi Nguyen, Roland Olsson, Oystein Haugen

“…This article applies an evolutionary algorithm to synthesize recurrent neurons optimized for specific datasets. …”
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Injection Current Distribution Characteristics Identification Based Distribution-Level Fault Line Selection by Xiaowei WANG, Yang YUE, Liang GUO, Xue WANG, Yizhao WANG, Zhihua ZHANG, Fengfeng YANG

“…This analysis leads to the selection of an optimal injection signal with suitable parameters. …”
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Protecting digital assets using an ontology based cyber situational awareness system by Tariq Ammar Almoabady, Yasser Mohammad Alblawi, Ahmad Emad Albalawi, Majed M. Aborokbah, S. Manimurugan, Ahmed Aljuhani, Hussain Aldawood, P. Karthikeyan

“…The Isolation Forest algorithm excels in anomaly detection in high-dimensional datasets, while autoencoders provide nonlinear detection capabilities and adaptive feature learning. …”
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Improving Surgical Site Infection Prediction Using Machine Learning: Addressing Challenges of Highly Imbalanced Data by Salha Al-Ahmari, Farrukh Nadeem

“…Grid search five-fold cross-validation was employed for comprehensive hyperparameter optimization, in conjunction with balanced sampling techniques. …”
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A data-driven approach utilizing machine learning (ML) and geographical information system (GIS)-based time series analysis with data augmentation for water quality assessment in M... by Abhijeet Das

“…From the results, it produces two metrics, TKN and coliform, that are higher than WHO guidelines while maintaining the optimal level of DO throughout the duration of the study. …”
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Characteristics of Eddy Dissipation Rates in Atmosphere Boundary Layer Using Doppler Lidar by Yufei Chu, Guo Lin, Min Deng, Zhien Wang

“…Building upon prior research utilizing Doppler lidar wind-field data, we optimized the EDR retrieval algorithm using a genetic adaptive approach. …”
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Graph Coarsening Approach to the Vehicle Routing Problem: An Approximation Strategy by Katarzyna Nalecz-Charkiewicz, Arnav Das, Turbasu Chatterjee, Joshua Keene, Pawel Gora, Carlos C. N. Kuhn

“…In the Noisy Intermediate-Scale Quantum (NISQ) era of quantum computing, solving complex optimization problems such as the Vehicle Routing Problem (VRP) remains a formidable challenge. …”
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DRFW-TQC: Reinforcement Learning for Robotic Strawberry Picking with Dynamic Regularization and Feature Weighting by Anping Zheng, Zirui Fang, Zixuan Li, Hao Dong, Ke Li

“…Strawberry harvesting represents a labor-intensive agricultural operation where existing end-effector pose control algorithms frequently exhibit insufficient precision in fruit grasping, often resulting in unintended damage to target fruits. …”
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Metaheuristic Prediction Models for Kerf Deviation in Nd-YAG Laser Cutting of AlZnMgCu1.5 Alloy by Arulvalavan Tamilarasan, Devaraj Rajamani

“…A detailed investigation was conducted to examine the effects of various parameters on kerf deviation. The metaheuristic algorithms (i.e., Giant Trevally Optimizer—GTO; and Zebra Optimization Algorithm—ZOA) were implemented to determine the optimum process parameters for producing the best performance measures. …”
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An RFCSO-based grid stability enhancement by integrating solar photovoltaic systems with multilevel unified power flow controllers by Swetha Monica Indukuri, Alok Kumar Singh, D. Vijaya Kumar

“…The VSI/VSC, enhanced by greedy control-based monarch butterfly optimization, converts DC to AC while minimizing harmonic distortion. …”
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The effective landscape design parameters with high reflective hardscapes: guidelines for optimizing human thermal comfort in outdoor spaces by design -a case on hot arid climate w... by Reham A. Abdelwahab, Ahmed A. Fekry, Reham El-Dessuky Hamed

“…Through generative design algorithms, an optimized framework was developed to identify effective strategies for urban cooling. …”
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Microcrack feature extraction method for chaotic optical surface of silicon nitride ceramic bearing roller based on multi-scale wavelet transform enhancement and optimized PSO-FCM... by Yi Jiang, Mengtao Tang, Wenjie Dong, Guoxing Tang, Weiwen Hu, Jiao Li

“…To address the issue of chaotic optical gradient feature and non-target interference factors affecting the feature extraction effect of chaotic optical surface microcracks in silicon nitride ceramic bearing rollers, an algorithm for extracting microcrack features from chaotic optical surfaces of silicon nitride ceramic bearing rollers based on multi-scale wavelet transform enhancement and optimized PSO-FCM coupling is proposed. …”
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A study on life assessment of metro cowcatcher based on multi-axis vibration environment reconstruction by ZHENG Yuhao, WU Xingwen, LIU Yang, CHI Maoru, LIANG Shulin

“…Then, the modal damping ratio was optimized by the genetic algorithm, improving the consistency between the simulation and measured response results, and proving the correctness of the modeling method. …”
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Multilevel Constrained Bandits: A Hierarchical Upper Confidence Bound Approach with Safety Guarantees by Ali Baheri

“…We propose the HC-UCB (hierarchical constrained upper confidence bound) algorithm to solve the HCB problem. The algorithm uses confidence bounds within a hierarchical setting to balance exploration and exploitation while respecting constraints at all levels. …”
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