Scaling data PLC sebagai pengontrol motor stepper penggerak ulir extruder by Muhamad Rifa’i, Herwandi Herwandi, Hari Kurnia Safitri, Abrar Kadafi

“…The purpose of this research is design scaling setpoint and motor rotational speed (rpm) along with motor torque (Nm) to control motor torque through stepper motor rotational speed. …”
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Implementación de la evaluación formativa por estudiantes de Pedagogía en Educación Física (Implementation of the formative evaluation by students of Pedagogy in Physical Educatio... by María Vergara Tapia, Mónica Flores Bastías, Lucía Illanes Aguilar, Felipe Poblete-Valderrama

“…Los resultados verifican la aplicación de retroalimentación, apoyo diferenciado según lo requieren los y las escolares y tratamiento del error; pero no aplican en forma sistemática la autoevaluación ni la coevaluación, ni registro de lo realizado por los estudiantes en clases. …”
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Uncertainty-aware approach for multiple imputation using conventional and machine learning models: a real-world data study by Romen Samuel Wabina, Panu Looareesuwan, Suphachoke Sonsilphong, Htun Teza, Wanchana Ponthongmak, Gareth McKay, John Attia, Anuchate Pattanateepapon, Anupol Panitchote, Ammarin Thakkinstian

“…In the CKD cohort, uncertainty-aware models significantly improved performance (evaluated by root mean squared error (RMSE) and mean absolute error (MAE)) over standard MICE, except for XGBoost. …”
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Groundwater estimation and determination of its probable recharge source in the Lower Swat District, Khyber Pakhtunkhwa, Pakistan, using analytical data and multiple machine learni... by Imran Ahmad, Ibrar Ul Haq, Mansoor Ahmad, Iram Gul, Mursaleen Khan, Khushnuma Khushnuma, Ubaid Ullah, Maqsood Ur Rehman, Mohamed Metwaly

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Adaptive neuro-fuzzy inference system optimization of natural rubber latex modified concrete’s mechanical Properties by Efiok Etim Nyah, David Ogbonna Onwuka, Joan Ijeoma Arimanwa, George Uwadiegwu Alaneme, G. Nakkeeran, Ulari Sylvia Onwuka, Chinenye Elizabeth Okere

“…The ANFIS model exhibited strong predictive performance, with a root mean square error (RMSE) of 1.5434, mean absolute percentage error (MAPE) of 2.89%, and R2 of 0.9795 for the modulus of elasticity. …”
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El género como variable de estudio en las características del juego en voleibol en categoría infantil (Gender as study variable in the game characteristics in volleyball Under-14 c... by Carmen Fernández Echeverría, Fernando Claver Rabaz, Jara González-Silva, Luis García González, M. Perla Moreno Arroyo

“…Abstract: The main aim of this research was to analyze the characteristics and performance of the serve action, in volleyball Under-14 category, by gender. …”
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Causality-Driven Feature Selection for Calibrating Low-Cost Airborne Particulate Sensors Using Machine Learning by Vinu Sooriyaarachchi, David J. Lary, Lakitha O. H. Wijeratne, John Waczak

“…Similarly, for the <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi>PM</mi><mrow><mn>2.5</mn></mrow></msub></mrow></semantics></math></inline-formula> model, the proposed feature selection led to a 33.2% reduction in the mean squared error, outperforming the 30.2% reduction achieved by the SHAP value-based selection. …”
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Pulse Wave Generation Method for PPG by Using Display by Atsuhiro Fujii, Kazuya Murao, Naoji Matsuhisa

“…The extensive research on wearable devices has led to devices with various shapes and mounting locations. …”
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An Interpretable Machine Learning Framework for Unraveling the Dynamics of Surface Soil Moisture Drivers by Zahir Nikraftar, Esmaeel Parizi, Mohsen Saber, Mahboubeh Boueshagh, Mortaza Tavakoli, Abazar Esmaeili Mahmoudabadi, Mohammad Hassan Ekradi, Rendani Mbuvha, Seiyed Mossa Hosseini

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Machine learning based compact MIMO antenna array for 38 GHz millimeter wave application with robust isolation and high efficiency performance by Md. Ashraful Haque, Md. Sharif Ahammed, Soeung Socheatra, Redwan A. Ananta, Md. Jamal Hossain Nirob, Narinderjit Singh Sawaran Singh, Noorlindawaty Md. Jizat, Saeed Alsowail, Samir Salem Al-Bawri

“…The methods explored in this research are the RLC equivalent circuit model and simulations with validated measurements. …”
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A Deep Learning Framework for Parameter Estimation in 1D Marine Ecosystem Model by Ao Li, Kewei Zhao, Weiwei Fang, Chan Shu, Runjie Zhou, Qiuyi Li, Xiaolong Huang, Xiaohong Lei, Menghan Xu, Haoyu Jiang, Lin Mu

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Generalized perception of tree-row with distribution-peak feature in 3D point cloud for various orchards navigation by Yingxing Jiang, Wuhao Li, Jizhan Liu, Muhammad Mahmood ur Rehman, Binbin Xie, Jie Wang

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Ensemble Learning-Driven and UAV Multispectral Analysis for Estimating the Leaf Nitrogen Content in Winter Wheat by Yu Han, Jiaxue Zhang, Yan Bai, Zihao Liang, Xinhui Guo, Yu Zhao, Meichen Feng, Lujie Xiao, Xiaoyan Song, Meijun Zhang, Wude Yang, Guangxin Li, Sha Yang, Xingxing Qiao, Chao Wang

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Automated and Enhanced Classification of Persea Americana Using Optimized Deep Convolutional Neural Networks With Improved Training Strategies for Agro-Industrial Settings by Oscar Vera, Jose Cruz, Severo Huaquipaco, Wilson Mamani, Victor Yana-Mamani, Saul Huaquipaco

“…These promising results open new possibilities for the implementation of machine learning in the agri-food industry. For future research, the possibility of expanding the data set and extending the application of this model to other varieties of fruits is proposed.…”
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AI-Driven Mapping System for Smart Parking Management Applications Using an INS-GNSS-Solid-State LiDAR-Monocular Camera Fusion Engine Empowered by HD Maps by Kai-Wei Chiang, Syun Tsai, Jou-An Chen, Surachet Srinara, Meng-Lun Tsai, Chih-Yun Hsieh, Jyun-Yang Hung, Chalermchon Satirapod, Naser El-Sheimy

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Automatic Evaluation of Bone Age Using Hand Radiographs and Pancorporal Radiographs in Adolescent Idiopathic Scoliosis by Ifrah Andleeb, Bilal Zahid Hussain, Julie Joncas, Soraya Barchi, Marjolaine Roy-Beaudry, Stefan Parent, Guy Grimard, Hubert Labelle, Luc Duong

“…<b>Methods:</b> The goal of this research is to propose a new deep neural network (DNN) and evaluate class activation maps for bone age assessment in AIS using hand radiographs. …”
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Deep Learning-Based Cascaded Light Source Detection for Link Alignment in Underwater Wireless Optical Communication by Bowen Jia, Wenmin Ge, Jingxuan Cheng, Zihao Du, Renming Wang, Guangbin Song, Yufan Zhang, Chengye Cai, Sitong Qin, Jing Xu

“…On the ULDB test set, the proposed detection method achieves an average precision (AP) of 99.1&#x0025; and an average positioning error of 4.66 pixels, while the traditional method may frequently extract false light spots. …”
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A Composite Barrier Function Sliding Mode Control Method Based on an Extended State Observer for the Path Tracking of Unmanned Articulated Vehicles by Kanghua Zhang, Xiaochao Gu, Nan Wang, Jialu Cao, Jixin Wang, Shaokai Zhang, Xiang Li

“…Afterward, based on the error compensation theory, a composite barrier function sliding mode controller suitable for articulated vehicle path tracking is derived. …”
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Deep learning-based thermal modeling of slipping velocity in oblique magnetohydrodynamic non-Newtonian nanofluid flows by Nek Muhammad Katbar, Hina Zahir, Kamel Guedri, Basim M. Makhdoum, Siti Suzilliana Putri Mohamed Isa, Syed M. Hussain, Abbas Khan

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Accuracy of Measurement Tools for Ocular-Origin Anomalous Head Posture and the Cervical Range of Motion Kinematics in Children with an Anomalous Head Position by Serena Cerfoglio, Francesco Bonsignore, Giuseppina Bernardelli, Lucia Donno, Fabiana Aili, Manuela Galli, Francesca Nucci, Edoardo Villani, Paolo Nucci, Veronica Cimolin

“…Pearson’s correlation coefficient (PCC), root mean square error (RMSE), and Bland–Altman plots assessed inter-system agreement, while MoCap analyzed cervical ROM. …”
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