Influence of Parameter on Dynamic Load and Load Sharing Characteristic of Split Torque-combine Power Gear Transmission System by He Lin, Sanmin Wang

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Forward Design and Automatic Optimization of Rotor Profile of the Twin Screw Compressor by Sun Weijie, He Xueming, Hu Rong

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Measurement-Based Prediction of mmWave Channel Parameters Using Deep Learning and Point Cloud by Hang Mi, Bo Ai, Ruisi He, Anuraag Bodi, Raied Caromi, Jian Wang, Jelena Senic, Camillo Gentile, Yang Miao

“…Second, based on a classic point cloud classification model (PointNet), we propose a novel regression PointNet model applied to channel parameter prediction. …”
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Protocol for predicting the single-cell network-based gene activity landscape during human B cell development by Xin Huang, Xuetong Hou, Yizhen Li, Jun J. Yang, Jiyang Yu

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The Effect of Learning and Teaching Resources on Christian Religious Students Performance In Selected Secondary Schools of Kabale Municipality. by Ekyasiimire, Mackline

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Analysis of the Bifurcation and Theory Vibration of the Gear Transmission System based on the MATLAB by Liu Jiangnan, Su Dian, Gong Youfa

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CRITICAL STATE SELECTION OF THE DYNAMIC HORIZONTAL IMPACT TEST FOR A CERTAIN TYPE AIRLINE SEAT INSTALLED by HUANG WanJia, HAN Liang

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The Richness of Italian Historical Demography by Marco Breschi, Alessio Fornasin, Matteo Manfredini

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Improvement and Force Analysis of Flying Shear Gearbox with Single Flywheel for Hot- rolled Plate by Liu Qingfeng, Chen Tao

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Simplified Outcome Prediction in Patients Undergoing Transcatheter Tricuspid Valve Intervention by Survival Tree-Based Modelling by Vera Fortmeier, MD, Mark Lachmann, MD, Lukas Stolz, MD, Jennifer von Stein, MD, Karl-Philipp Rommel, MD, Mohammad Kassar, MD, Muhammed Gerçek, MD, Anne R. Schöber, MD, Thomas J. Stocker, MD, Hazem Omran, MD, Michelle Fett, Jule Tervooren, Maria I. Körber, MD, Amelie Hesse, Gerhard Harmsen, PhD, Kai Peter Friedrichs, MD, Shinsuke Yuasa, MD, PhD, Tanja K. Rudolph, MD, Michael Joner, MD, Roman Pfister, MD, Stephan Baldus, MD, Karl-Ludwig Laugwitz, MD, Stephan Windecker, MD, Fabien Praz, MD, Philipp Lurz, MD, Jörg Hausleiter, MD, Volker Rudolph, MD

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Design of the Flat Evolution Model Cam Profile of German High-speed Printing Press Mechanism by Lü Chuqi, Wu Qiuping, Li Yanping, Chang Yong

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Adaptive Differential Evolution Algorithm for Forward Position Solution of Parallel Mechanism by Yi Jian

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Contrast Study on Temperature Rise of Dry Dual Clutch in Automobile by Zhu Maotao, Pu Yubin, Liu Tao

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Supplier Selection on Performance of Manufacturing Industries in Uganda: A Case Study of Hot Loaf in Kabale Municipality. by Atwongyeire, Naume

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Tolerance Design for RV Reducer based on the Method of Weighting by Gong Linhuan, Zuo Jianming

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Study on the Rolling Bearing Fault Diagnosis based on the Hilbert Envelope Spectrum Singular Value and IPSO-SVM by Qin Bo, Sun Guodong, Zhang Liqiang, Liu Yongliang, Zhang Chao, Wang Jianguo

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Technologies of interactive English teaching at technical universities by Svetlana I. Linnichenko

“…As research tools, we used methods of literature review, theoretical analysis of pedagogical literature, and generalization of scientific data. It is concluded that in the educational practice such forms of interactive learning as creative tasks, educational games, work in groups, projects and e-Learning are used. …”
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QR-DeepONet: resolve abnormal convergence issue in deep operator network by Jie Zhao, Biwei Xie, Xingquan Li

“…Theoretical analysis indicates that the generation error of DeepONet should decrease as the basis dimension increases, thus providing a systematic way to reduce its generalization errors (GEs) by varying the network hyperparameters. …”
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Non-intrusive load monitoring based on time-enhanced multidimensional feature visualization by Tie Chen, Yimin Yuan, Jiaqi Gao, Shinan Guo, Pingping Yang

“…Furthermore, utilizing transfer learning, the model trained and tested on the PLAID dataset was further tested on the WHITED dataset to increase the model’s universality and generalization ability, showing significant effects in identifying loads with similar V–I trajectories and multiple states.…”
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Deep learning in defects detection of PV modules: A review by Katleho Masita, Ali Hasan, Thokozani Shongwe, Hasan Abu Hilal

“…Despite achieving high accuracy, challenges such as the need for large datasets and model generalization across different PV modules and environmental conditions remain. …”
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