Effective optical and treatment zone analysis by means of cross-over differences after lenticule extraction by Hamed Haidari, Victor Derhartunian, Thomas Magnago, Maren-Christina Lengle, Samuel Arba-Mosquera

“…The advantages of this algorithm over existing methods are its objectivity; automation; speed; resolution, accuracy and precision; the free-form boundary determination; and finally its support in determining centration and circularity.…”
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Forced motion control of a mobile robot by T. Yu. Kim, R. A. Prakapovich, A. A. Lobatiy

“…The method of the theory of optimal control according to the criterion of maximum speed, the wave algorithm for finding the shortest path, the method of finite automata for relay control of the acceleration of movement are used.Results. …”
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Potential geographical distribution of Carob tree (Ceratonia siliqua L., Leguminosae) in Morocco under climate change by Jalal Kassout, Soufian Chakkour, Abdeltif El Ouahrani, Younes Hmimsa, Salama El Fatehi, Yanzheng Yan, Rachid Hadria, Mohammed Ater

“…To test this, we used the maximum entropy algorithm (Maxent), 303 occurrence points and 19 bioclimatic variables to generate current and future models. …”
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Estimation of Urban Link Travel Time Distribution Using Markov Chains and Bayesian Approaches by Wenwen Qin, Meiping Yun

“…Finally, the current link TTD can be reconstructed by a generic Markov Chain Monte Carlo algorithm incorporating high weighted particles. The proposed approach is evaluated using real-world FCD. …”
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Targeted maximum likelihood based estimation for longitudinal mediation analysis by Wang Zeyi, Laan Lars van der, Petersen Maya, Gerds Thomas, Kvist Kajsa, Laan Mark van der

“…We utilize the highly adaptive lasso (HAL) and projection representations to derive new estimators (HAL-EIC) of the efficient influence curves (EICs) of longitudinal mediation problems and propose a fast one-step TMLE algorithm using HAL-EIC while preserving the asymptotic properties. …”
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A Novel Improved Threshold Adaptive Forgetting Variable Step Size Blind Separation Model for Weak Signal Detection by Tianyi Yu, Houming Wang, Shunming Li, Jiantao Lu, Siqi Gong, Yanfeng Wang, Guangrong Teng

“…Finally, the forgetting factor is introduced into the model to reduce the error accumulation in the early stage of the algorithm, and the Fourier norm is introduced to improve the convergence speed and separation accuracy of the model. …”
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A Deformation Reconstruction Strategy for Integrated Truss Structures Subjected to Thermal–Mechanical Load by Zexing Yu, Xiaofei Ma, Jialong Zhu, Dayu Zhang, Yonggang Xue, Pengfei Huang, Yichen Li, Hao Li

“…The proposed approach utilizes Ko displacement theory as the core algorithm, while the least squares optimization method is employed to determine the integration with unknown initial values during the reconstruction process. …”
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Automated Fillet Weld Inspection Based on Deep Learning from 2D Images by Ignacio Diaz-Cano, Arturo Morgado-Estevez, José María Rodríguez Corral, Pablo Medina-Coello, Blas Salvador-Dominguez, Miguel Alvarez-Alcon

“…Following an extensive review of available solutions, algorithms, and networks based on this convolutional strategy, it was determined that the You Only Look Once algorithm in its version 8 (YOLOv8) would be the most suitable for object detection due to its performance and features. …”
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Model Updating Method Based on Kriging Model for Structural Dynamics by Hong Yin, Jingjing Ma, Kangli Dong, Zhenrui Peng, Pan Cui, Chenghao Yang

“…Then, Kriging model is improved via new sample points using mean square error (MSE) criterion and is used to replace the finite element model to participate in optimization. Cuckoo algorithm is used to obtain the updating parameters, where the objective function with the minimum frequency response deviation is constructed. …”
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Collaborative Optimization of Aerodynamics and Wind Turbine Blades by Fushan He, Xingsheng Zheng, Weilin Luo, Jianfeng Zhong, Yunhua Huang, Aili Ye, Rongrong Qiu, Huafu Ma

“…A collaborative optimization framework is set up on the Isight platform, employing a genetic algorithm to find the optimal solution for the blade’s aerodynamics and structural properties. …”
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An Overlapping Phase Approach to Optimize Bus Signal Priority Control under Two-Way Signal Coordination on Urban Arterials by Zijun Liang, Yun Xiao, Yun-Pang Flötteröd

“…The overlapping phase-based signal control logic and the bus priority control algorithm under two-way signal coordination on arterial roads are proposed. …”
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Research on multiple enhanced k combination reverse Skyline query method by Song Li, Xinyuan Zhang, Liping Zhang

“…Finally, we expand the result set by proving the monotonicity of the ECRSQ algorithm. The final MkECRSQ results consist of the obtained combinations and the expanded result set. …”
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A GA-Based BP Artificial Neural Network for Estimating Monthly Surface Air Temperature of the Antarctic during 1960–2019 by Miao Fang

“…This study proposed a backpropagation artificial neural network (BPANN) optimized by a genetic algorithm (GA) to estimate the monthly SAT fields of the Antarctic continent for the period 1960–2019. …”
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Machine learning for early detection and severity classification in people with Parkinson’s disease by Juseon Hwang, Changhong Youm, Hwayoung Park, Bohyun Kim, Hyejin Choi, Sang-Myung Cheon

“…Key features—walking speed at PWS, stride length at HWS, and the coefficient of variation (CV) of the stride length at LWS—achieved a classification accuracy of 78.1% using the random forest algorithm. For early PD detection, the stride length at HWS and CV of the stride length at LWS provided an accuracy of 67.3% with Naïve Bayes. …”
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Dynamic Response Analyses of Plastic Greenhouse Structure considering Fluctuating Wind Load by Yingchun Jiang, Yikui Bai, Cong Wang, Yonggang Wang, Xinfu Pang

“…On the basis of Timoshenko beam theory, the governing equations of the skeleton structure of the greenhouse are derived, and the realization process of the algorithm is also provided. Second, the accuracy and effectiveness of the proposed numerical method are verified by an example in which the bending wave of a variable cross section beam with free ends propagates. …”
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Blockchain sharding storage scheme based on concatenated coding by TIAN Youliang, HUANG Yuqing, WANG Shuai

“…Considering the communication delay skew between nodes during the decoding process, a delay-sensitive sharding algorithm based on Metis was proposed, which cut down the communication expenditure in the decoding process by delaying weights to determine the shard ownership of nodes. …”
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Bilateral Reverse Total Shoulder Arthroplasty with Soft Tissue Release for Bilateral Posterior Fracture Dislocation after Status Epilepticus by George El Rassi, Nabil Dib, Joseph Maalouly, Rita Moukarzel, Dany Aouad

“…We conclude, after reviewing the literature, that there is no straightforward algorithm for treating such patients and that a clear classification should take into account both bone quality and patient comorbidities which has yet to be developed.…”
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Global Ionospheric TEC Forecasting for Geomagnetic Storm Time Using a Deep Learning‐Based Multi‐Model Ensemble Method by Xiaodong Ren, Pengxin Yang, Dengkui Mei, Hang Liu, Guozhen Xu, Yue Dong

“…In this study, we developed a new deep learning‐based multi‐model ensemble method (DLMEM) to forecast geomagnetic storm‐time ionospheric TEC that combines the Random Forest (RF) model, the Extreme Gradient Boosting (XGBoost) algorithm, and the Gated Recurrent Unit (GRU) network with the attention mechanism. …”
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To mix, or not to mix?: Mitogenomic insights for risk assessment of an interpopulation translocations of the critically endangered European mink by Jakub Skorupski, Christian Seebass, Wolfgang Festl, Natalia Kiseleva, Przemysław Śmietana, Mihai Marinov

“…These findings guide tailored conservation strategies, emphasizing the need for careful interpopulation translocations to protect genetic diversity and prevent outbreeding depression. A decision algorithm for these translocations has been proposed.…”
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A New Video-Based Crash Detection Method: Balancing Speed and Accuracy Using a Feature Fusion Deep Learning Framework by Zhenbo Lu, Wei Zhou, Shixiang Zhang, Chen Wang

“…The results show that the proposed model is a promising video-based urban traffic crash detection algorithm that could be used in practice in the future.…”
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