Meeting
HIGHLIGHTS who: Nicholas C. Jones et al. from the Department of Pathology, Massachusetts General Hospital and Harvard Medical School, Boston, […]
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Tools and methodologies for box-wing aircraft conceptual aerodynamic design and aeromechanic analysis
HIGHLIGHTS who: Abu Salem Karim and collaborators from the University of Pisa, DICI, Via GCaruso, Pisa, Italy have published the
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Learning data-driven reduced elastic and inelastic models of spot-welded patches
HIGHLIGHTS who: Reille Agathe et al. from the Batiment Seville, bis Saarinen, Rungis, France Aragon Institute of Engineering Research, Universidad
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Real contact ratio and tooth bending stress calculation for plastic/plastic and plastic/steel spur gears
HIGHLIGHTS who: Jabbour Toni and colleagues from the Department of Mechanical Engineering, ISAE-CNAM Lebanon, POBox: , Beirut, Lebanon Department of
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Effects of molecule force on free vibration for a micro electromagnetic harmonic drive system
HIGHLIGHTS who: Zhao Dan and collaborators from the Yanshan University, Mechanical engineering institute, Qinhuangdao, PR China have published the research:
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A study on the high-efficiency mixer of the SCR system
HIGHLIGHTS who: Lu Kai and colleagues from the Kailong High Technology Co, Ltd, Wuxi, PR China Shandong University, Jinan, PR
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Intermodulation-Based Nonlinear Smart Health Sensing of Human Vital Signs and Location
HIGHLIGHTS who: ASHISH MISHRA et al. from the Department of Electrical Computer Engineering, Texas Tech University, Lubbock, TX, USA have
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Energy Recovery of Agricultural Residues: Incorporation of Vine Pruning in the Production of Biomass Pellets with ENplus® Certification
HIGHLIGHTS who: Leonel J. R. Nunes et al. from the DEGEIT, Departamento Economia, Gestão, Engenharia Industrial Turismo, Universidade have published
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Clinical Study Cardiopulmonary Response to Exercise Testing in People with Chronic Stroke: A Retrospective Study
HIGHLIGHTS who: Sandra A. Billinger and colleagues from the Department of Physical Therapy and Rehabilitation Science, University of Kansas Medical
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Ear semantic segmentation in natural images with DeepLabv3+ convolutional neural_network
HIGHLIGHTS who: Tversky loss function supported and colleagues from the University of Ljubljana Test Set, and the Collection A of