Mesh-free SPH modelling of sediment scouring and flushing considering grains transport and transformation by Rongzhao Zhang, Wen Xiong, Xiaolong Ma, C. S. Cai

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Research on a hybrid deep learning model based on two-stage decomposition and an improved whale optimization algorithm for air quality index prediction by Hangyu Zhou, Yongquan Yan

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Elbow Joint Angle Estimation Using a Low-Cost and Low-Power Single Inertial Device for Daily Home-Based Self-Rehabilitation by Manon Fourniol, Rémy Vauché, Guillaume Rao, Eric Watelain, Edith Kussener

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Reinforcement-Learning-Based Synthesis of Custom Approximate Parallel Prefix Adders by Apostolos Stefanidis, Giorgos Dimitrakopoulos

“…Experimental results demonstrate that the synthesized adders can reduce area and power consumption by 12% and 10%, respectively, on average without compromising the error behavior of the application, or can significantly improve the application’s error metrics without degrading area and power consumption for a variety of practical applications.…”
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Explainable machine learning models for estimating daily dissolved oxygen concentration of the Tualatin River by Shuguang Li, Sultan Noman Qasem, Shahab S. Band, Rasoul Ameri, Hao-Ting Pai, Saeid Mehdizadeh

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Regression models for predicting the effect of trash rack on flow properties at power intakes by Shuguang Li, Sultan Noman Qasem, Hojat Karami, Ely Salwana, Alireza Rezaei, Danyal Shahmirzadi, Shahab S. Band

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Mobility and threshold voltage extraction in transistors with gate-voltage-dependent contact resistance by Robert K. A. Bennett, Lauren Hoang, Connor Cremers, Andrew J. Mannix, Eric Pop

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Development of improved deep learning models for multi-step ahead forecasting of daily river water temperature by Mehdi Gheisari, Jana Shafi, Saeed Kosari, Samaneh Amanabadi, Saeid Mehdizadeh, Christian Fernandez Campusano, Hemn Barzan Abdalla

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Machine learning modeling based on informer for predicting complex unsteady flow fields to reduce consumption of computational fluid dynamics simulation by Mingkun Fang, Fangfang Zhang, Di Zhu, Ruofu Xiao, Ran Tao

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Integrating Machine Learning for Enhanced Agricultural Productivity: A Focus on Bananas and Arecanut in the Context of India’s Economic Growth by B. S. Saruk, G. Mokesh Rayalu

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Synergistic SAPSO-sinusoidal decay empirical formula for ship motion forecasting in waves by Jianwei Wang, Xinyu Han, Jiachen Chai, Wenlei Li, Ze He, Minghua Yue

“…The proposed methodology shows substantial engineering applicability in naval architecture and ocean engineering applications.…”
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Improved flow prediction of non-ideal sonic nozzles by CFD-based surrogate modelling by Sebastian Weiss, Bodo Mickan, Kilian Oberleithner, Markus Bär, Sonja Schmelter

“…The flow predictions of the surrogate model for the aforementioned parameterised contours are in much better agreement with experimental data for the respective test nozzle contour, exhibiting an average root mean square error of 0.17% over all test nozzles compared to the associated standard, with an average root mean square error of 0.35%. …”
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Aerodynamic performance analysis of a floating wind turbine with coupled blade rotation and surge motion by Kai Wang, Mengshang Zhao, Siqi Chen, Ruosi Zha

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Liu Estimation Method in the Zero-Inflated Conway Maxwell Poisson Regression Model by Muhammad Amin, Bushra Ashraf, Syeda Maryam Siddiqa

“…A Monte Carlo simulation study is performed to compare the performance of the proposed estimator, where mean squared error (MSE) is utilized to demonstrate its superiority. …”
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Characterization of the Power Distribution Network for Commercialized STM32s Using a Resonance Frequency Measurement Method by Marie Peyrard, Gilles Jacquemod, Nicolas Froidevaux

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Robust Model Predictive Control for AFE-Inverter Drives With Common Mode Voltage Elimination by S.M. Muslem Uddin, Galina Mirzaeva, Graham C. Goodwin

“…This makes the proposed scheme a competitive alternative to the existing AC drive solutions in the most challenging industrial applications. The benefits of the proposed scheme are validated by simulation and experiment.…”
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A Comparative Study of Electric Vehicles Battery State of Charge Estimation Based on Machine Learning and Real Driving Data by Salma Ariche, Zakaria Boulghasoul, Abdelhafid El Ouardi, Abdelhadi Elbacha, Abdelouahed Tajer, Stéphane Espié

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Condition monitoring of axial piston pumps based on machine learning-driven real-time CFD simulation by Wentao Wang, Qun Chao, Junjie Shi, Chengliang Liu

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Disturbance Robust Generalized Predictive Control Applied to an EV Charger Grid Converter by Jefferson S. Costa, Angelo Lunard, Luis F. Normandia Lourenco, Lucas Rodrigues, Alfeu J. Sguarezi Filho

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Development and validation of a CFD-based model for simulating rotating drum separators by Theodoros Dimas, Arne Eggers, Jef R. Peeters, Maarten Vanierschot

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