Design of a mammography X-ray image classification assistant system adapted to Chinese population by SUN Changjin, TONG Fei, WU Yi

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A Novel Robotic Technique for Mapping Patellofemoral Kinematics in Total Knee Arthroplasty by Edward O’Bryan, MBBS (Hons), FRACS, FAOA, Christopher Jones, MBBS, FRACS, FAOA, Samuel Joseph, MBBS, FRACS, FAOrthoA

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Batch-in-Batch: a new adversarial training framework for initial perturbation and sample selection by Yinting Wu, Pai Peng, Bo Cai, Le Li

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Thermodynamic and kinetic simulation of Y2O3 and Y2S3 nonmetallic phase formation in liquid steel by Gerasin S., Kalisz D., Iwanciw J.

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Esquisses d’une théorie onto-esthétique des médias by Charlotte Bolwin

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Discrete variable 3D models in Computer extended Descriptive Geometry (CeDG): Building of polygonal sheet-metal elbows and comparison against CAD by Manuel Prado-Velasco, Laura García-Ruesgas

Subjects: “…Computer extended Descriptive Geometry…”
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Assessment of Computational Technicalities for 2D/1D Coupling Method and Its Comparison with 3D MOC by Boran Kong, Han Zhang, Qinrong Dou, Zhaoyuan Liu, Chen Hao, Jiong Guo, Fu Li

“…For the transverse leakage, the Fourier expansion technique could significantly reduce the memory burden and computational cost, but with the similar accuracy as the anisotropic leakage term. …”
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Efficient Computation of Multiscale Entropy over Short Biomedical Time Series Based on Linear State-Space Models by Luca Faes, Alberto Porta, Michal Javorka, Giandomenico Nollo

“…In spite of their popularity, MSE and RMSE lack an analytical framework allowing their calculation for known dynamic processes and cannot be reliably computed over short time series. To overcome these limitations, we propose a method to assess RMSE for autoregressive (AR) stochastic processes. …”
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Automatic cervical lymph nodes detection and segmentation in heterogeneous computed tomography images using deep transfer learning by Wenjun Liao, Xiangde Luo, Lu Li, Jinfeng Xu, Yuan He, Hui Huang, Shichuan Zhang

“…Abstract To develop a deep learning model using transfer learning for automatic detection and segmentation of neck lymph nodes (LNs) in computed tomography (CT) images, the study included 11,013 annotated LNs with a short-axis diameter ≥ 3 mm from 626 head and neck cancer patients across four hospitals. …”
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A New Countermeasure against Brute-Force Attacks That Use High Performance Computers for Big Data Analysis by Hyun-Ju Jo, Ji Won Yoon

“…Using high performance parallel and distributed computing systems, we can collect, generate, handle, and transmit ever-increasing amounts of data. …”
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New process to obtain unslaked lime through microwave hybrid heating and its fluid dynamics computational modeling by Breno Henrique Booz Carvalho Corrêa, Juan Canellas Bosch Neto, Alexandre Bôscaro França, Ana Clara Cassin Cordeiro

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Diagnostic Potential of CTRP5 and Chemerin for Coronary Artery Disease: A Study by Coronary Computed Tomography Angiography by Taha Okan, Cihan Altın, Caner Topaloglu, Mehmet Doruk, Mehmet Birhan Yılmaz

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Identification and Endodontic Management of Middle Mesial Canal in Mandibular Second Molar Using Cone Beam Computed Tomography by Bonny Paul, Kavita Dube

“…This case report presents the use of three-dimensional imaging with cone beam computed tomography (CBCT) as an adjunct to digital radiography in identification and management of mandibular second molar with three mesial canals.…”
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Mayfly Taylor Optimisation-Based Scheduling Algorithm with Deep Reinforcement Learning for Dynamic Scheduling in Fog-Cloud Computing by G. Shruthi, Monica R. Mundada, B. J. Sowmya, S. Supreeth

“…Applied Computational Intelligence and Soft Computing…”
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Computational Fluid Dynamics Simulation and Analysis of Non-Newtonian Drilling Fluid Flow and Cuttings Transport in an Eccentric Annulus by Muhammad Ahsan, Shah Fahad, Muhammad Shoaib Butt

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A new mixing chamber geometry design for supersonic ejector performance optimization using computational fluid dynamics by Amer Muzaber, Nadin Bassmaji, Assem Kaddah

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Application of the Time Step Optimization Method in Seismic Liquefaction Analysis and Its Evaluation Method for Computational Efficiency Improvement by Qi Li, Bin Li, Shaorui Sun, Nan Yang

“…The results show that the computing efficiency is greatly improved after the seismic liquefaction numerical analysis program is optimized by the time step optimization method.…”
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