Feature extraction and fault diagnosis of gearbox based on ICEEMDAN, MPE, RF and SVM by DING Xiaofeng, ZHANG Yuhua

“…Finally, the importance of such features was evaluated by the RF algorithm, and the sensitive features with high importance were selected to form the optimal feature subset as the input to SVM for fault pattern recognition. …”
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Can Integrating SoC Management in Economic Dispatch Enhance Real-Time Operation of a Microgrid? by Alessia Cagnano

“…To enable real-time adaptability, the methodology employs a Lyapunov-based optimization algorithm combined with a sensitivity analysis, ensuring rapid convergence to optimal solutions, even under rapidly changing conditions. …”
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RLDEAO optimized of air quality data clustering analysis(RLDEAO优化的空气质量数据聚类分析) by 田闯(TIAN Chuang), 黄鹤(HUANG He), 杨澜(YANG Lan), 王会峰(WANG Huifeng), 茹锋(RU Feng)

“…In view of this deficiency, we propose the adaptive dimension-by-dimension keyhole imaging reverse learning strategy, Levy flight combined with stagnation perturbation strategy and mutation evolution of the survival of the fittest to improve the search performance of the algorithm, thus avoiding local optimization; Secondly, a weighted maximum minimum distance product (WMMP) is designed to calculate the cluster center point, which can reflect the importance of each feature in the data and play a good role to improve the clustering results; Finally, RLDEAO and WMMP are combined to optimize K-means complementary iteration. …”
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Building an international precision medicine platform trial for the acute respiratory distress syndrome (ARDS): an expert consensus project report by Kiran Reddy, Neil Aggarwal, Narges Alipanah-Lechner, Djillali Annane, David B Antcliffe, Daphne Babalis, J Kenneth Baillie, Abigail Beane, Lieuwe DJ Bos, Aidan Burrell, Carolyn S Calfee, Kiki Cano-Gamez, Victoria R Cornelius, Mary Cross, Emma Davenport, Lorenzo del Sorbo, Laura Esserman, Eddy Fan, Vito Fanelli, Niall D Ferguson, D Clark Files, Christoph Fisser, Shigeki Fujitani, Ewan C Goligher, Anthony C Gordon, Giacomo Grasselli, Fergus Hamilton, Rashan Haniffa, Andrea Haren, Daniel JR Harvey, Leanne M Hays, Anna Heath, Nicholas Heming, Susanne Herold, Tim Hicks, Nao Ichihara, Vinod Jaiswal, Jun Kataoka, Julian C Knight, Patrick R Lawler, Kathleen Liu, John C Marshall, David M Maslove, Michael A Matthay, Daniel F McAuley, Nuala J Meyer, Jonathan A Millar, Holger Müller-Redetzky, Alistair Nichol, John Norrie, Marlies Ostermann, Andrew Owen, Cecilia M O’Kane, Dhruv Parekh, Rachel Phillips, Duncan Richards, Bram Rochwerg, Anthony J Rostron, Hiroki Saito, Romit J Samanta, Vittorio Scaravilli, Wesley Self, Manu Shankar-Hari, A John Simpson, Pratik Sinha, Marry R Smit, Jonathan Stewart, B Taylor Thompson, István Vadász, Ed Waddingham, Steve Webb, Graham Wheeler, D Martin Witzenrath, Mark M Wurfel, Thomas R Martin

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The Specialist’s Paradox: Generalist AI May Better Organize Medical Knowledge by Carlo Galli, Maria Teresa Colangelo, Marco Meleti, Elena Calciolari

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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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Italian EoExpert panel recommendation for disease control, switching criteria, and follow-up in eosinophilic esophagitis from pediatric to adult age by Edoardo Vincenzo Savarino, Matteo Fassan, Nicola de Bortoli, Claudio Romano, Antonio Di Sabatino, Roberto Penagini, Francesca Racca, Giovanni Sarnelli, Salvatore Oliva

“…Questionnaire to uncover adaptive behaviors and S.C.O.P.E. (Symptoms Control, Observation, Pathological Evaluation) scheme for comprehensive treatment efficacy evaluation. …”
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SLPDBO-BP: an efficient valuation model for data asset value by Cuiping Zhou, Shaobo Li, Cankun Xie, Panliang Yuan, Zihao Liao

“…Secondly, in an attempt to comprehensively evaluate the optimization performance of SLPDBO, a series of numerical optimization experiments are carried out with 20 test functions and with popular optimization algorithms and dung beetle optimizer (DBO) algorithms with different improvement strategies. …”
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Underwater acoustic signal denoising method based on DBO–VMD and singular value decomposition by A. Weiyi Chen, B. Shizhe Wang, C. Zongji Li, D. Li Dong

“…The innovation of the method proposed in this article is mainly reflected in (1) using the DBO algorithm to avoid manually setting VMD parameters based on experience, (2) using adaptive threshold to select intrinsic mode function (IMF) components, and (3) combining the VMD method with the SVD method. …”
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Efficient Design Optimization Assisted by Sequential Surrogate Models by Emiliano Iuliano

“…The paper proposes a global optimization algorithm employing surrogate modeling and adaptive infill criteria. …”
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A Method for Hand Dorsal Vein Recognition Based on Frangi and Morphological Operation by Xiaoling Xie, Xiaorui Xu, Junxi Zheng, Xiaocui Sun

“…Frangi-M was compared with the adaptive threshold method and the Butterworth high-pass filter method through qualitative and quantitative evaluation methods. …”
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Correction Processing Method and Application of Induction Logging Tool in Highly Deviated Wells by LIU Jiacheng

“…Based on the influence of borehole invasion and the actual measurement signal processing algorithm, the resistivity curves of different detection depth can be obtained by projecting the processing actual logging data from vertical well to deviated-well. …”
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Self-Adjusting Look-Ahead Distance of Precision Path Tracking for High-Clearance Sprayers in Field Navigation by Xu Wang, Bo Zhang, Xintong Du, Huailin Chen, Tianwen Zhu, Chundu Wu

“…This is done based on the principle of minimizing the overall error, enabling the dynamic and adaptive optimization of the look-ahead distance within the pure pursuit algorithm. …”
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Polarization of road target detection under complex weather conditions by Feng Huang, Junlong Zheng, Xiancai Liu, Ying Shen, Jinsheng Chen

“…In this paper, we propose a road target detection algorithm based on an end-to-end adaptive polarization coding method, named YOLO-Polarization of Road Target Detection (YOLO-PRTD). …”
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An intelligent stochastic optimization approach for air cargo order allocation under carbon emission constraints. by Zhenzhong Zhang, Ling Zhang, Deqiang Fu, Weichun Li

“…The method finds the optimal solution through an improved adaptive large-scale neighborhood search algorithm and uses a scenario generation technique to generate the scenarios required for evaluating candidate solutions to the high-dimensional stochastic optimization problem. …”
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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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State of Health Estimation for Lithium-Ion Batteries Using an Explainable XGBoost Model with Parameter Optimization by Zhenghao Xiao, Bo Jiang, Jiangong Zhu, Xuezhe Wei, Haifeng Dai

“…Then, a SOH estimation method based on the XGBoost algorithm is established, and the model’s hyper-parameters are tuned using the Bayesian optimization algorithm (BOA) to enhance the adaptiveness of the proposed estimation model. …”
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A metaheuristic to support the distribution of COVID-19 vaccines by Augusto José da Silva Rodrigues, Gabriel Lopes Lima

“…Effective analysis was obtained in the evaluation of the proposed algorithm, both in terms of computational effort and the quality of the final solution. …”
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Multiple UAV Swarms Collaborative Firefighting Strategy Considering Forest Fire Spread and Resource Constraints by Pei Zhu, Rui Song, Jiangao Zhang, Ziheng Xu, Yaqi Gou, Zhi Sun, Quan Shao

“…The critical water flow rate required for fire suppression is calculated to evaluate the firefight performance, and an emergency bidding algorithm is applied to enable multiple UAV swarms collaborative firefighting under limited resources, including different payloads per UAV and swarm number. …”
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Sensitive Wavelengths Selection in Identification of Ophiopogon japonicus Based on Near-Infrared Hyperspectral Imaging Technology by Zhengyan Xia, Chu Zhang, Haiyong Weng, Pengcheng Nie, Yong He

“…The wavelength selection algorithms tested include successive projections algorithm (SPA), loading weights (LW), regression coefficients (RC), uninformative variable elimination (UVE), UVE-SPA, competitive adaptive reweighted sampling (CARS), interval partial least squares regression (iPLS), backward iPLS (BiPLS), forward iPLS (FiPLS), and genetic algorithms (GA-PLS). …”
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