An adaptive gain phase‐locked loop for position sensorless control of permanent magnet synchronous motor drives by Pengcheng Han, Ying Lou, Chao Wu, Li Zeng, Huimin Wang

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Design of a non‐ferromagnetic spoke array Vernier permanent magnet generator with iron‐bar based on enhanced equivalent magnetic network model by Mehrage Ghods, Jawad Faiz, Ehsan Rashipour, Mohammad Amin Bazrafshan, Mohammad Reza Besmi

“…The contribution of the modelling method includes a special mesh cell for the air‐gap permeance network to more accurately capture the flux routes, continuous positioning method for omitting spikes on post‐processing waveforms due to numerical errors, and a stable solving flowchart with a high convergence rate. …”
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Precise orientation control of gimbals with parametric variations using model reference adaptive controller by Ömer Çakmak, Erdinç Altuğ

“…The obtained results demonstrate that the MRAC+State Feedback control structure significantly reduces the error in the gimbal's orientation response compared to the reference model.…”
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A rapid and efficient method for flash flood simulation based on deep learning by Xinying Wang, Miao Xiao, Yi Liu, Jun Guo, Yangyang Qin, Yunkang Zhang

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Evaluating the insulation condition of oil‐impregnated paper bushings based on the time constant database by Hossein Taghizade Ansari, Abolfazl Vahedi, Nami Mahmoudi

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Impact of stator interturn short circuit fault on shaft voltage in a synchronous generator by Yu‐Ling He, Pei‐Jie Yang, Kai Sun, Zhen‐Li Xu, Hai‐Peng Wang, Xian‐Long He, David Gerada

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Improving the streamflow prediction accuracy in sparse data regions: a fresh perspective on integrated hydrological-hydrodynamic and hybrid machine learning models by Saeed Khorram, Nima Jehbez

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Discrete‐time full‐order sensorless control of high‐speed interior permanent magnet synchronous motor in electric vehicle traction system by Dongcui Wang, Yuan Zhu, Sibei Wu, Lu Liu

“…Furthermore, to address the potential for sudden speed changes in vehicle applications, the parameter range is further refined to keep the estimation error within a specified range. …”
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Intelligent aerodynamic modelling method for steady/unsteady flow fields of airfoils driven by flow field images based on modified U-Net neural network by Baigang Mi, Wenqi Cheng

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Artificial neural networking for computational assessment of ternary hybrid nanofluid flow caused by a stretching sheet: implications of machine-learning approach by Imad Khan, M. Waleed Ahmed Khan

“…Graphical illustration, error analysis, mean squared error, histograms and regression analysis justify the proposed method, showing better performance for ternary nanofluids.…”
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Feasibility of Leveraging Consumer Wearable Devices with Data Platform Integration for Patient Vital Monitoring in Low-Resource Settings by Elsie Effah Kaufmann, Richmond Tackie, J. Benjamin Pitt, Samuel Mba, Bismark Akwetey, Danielle Quaye, Godfrey Mills, Clement Nyame, Henry Bulley, Matthew Glucksberg, Hassan Ghomrawi, William Appeadu-Mensah, Fizan Abdullah

“…To test for concordance, we conducted the Bland-Altman and mean absolute percentage error analyses. We also developed a web application that retrieves and displays CWD data in near real time as text and graphical trends. …”
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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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A deep reinforcement learning approach for wind speed forecasting by Shahab S. Band, Ting Jia Lin, Sultan Noman Qasem, Rasoul Ameri, Danyal Shahmirzadi, Muhammad Shamrooz Aslam, Hao-Ting Pai, Ely Salwana, Amir Mosavi

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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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Ranked Set Sampling Based Regression Estimators in Two-Stage Sampling Design by Worthing Yanglem, Phrangstone Khongji

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