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Rapid Identification of the Geographical Origin of the Chinese Mitten Crab (Eriocheir sinensis) Using Near-Infrared Spectroscopy.
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- Foods, 2024, v. 13, n. 20, p. 3226, doi. 10.3390/foods13203226
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- Article
A Novel Direct Instantaneous Torque Control Strategy of Permanent Magnet-Assisted Switched Reluctance Motor with Zero Voltage Modulation.
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- Progress in Electromagnetics Research C, 2024, v. 148, p. 71, doi. 10.2528/PIERC24062801
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Hybrid model-driven and data-driven method for predicting concrete creep considering uncertainty quantification.
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- Frontiers of Structural & Civil Engineering, 2024, v. 18, n. 10, p. 1524, doi. 10.1007/s11709-024-1104-0
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Analysis of Low-Frequency Sound Absorption Performance and Optimization of Structural Parameters for Acoustic Metamaterials for Spatial Double Helix Resonators.
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- Crystals (2073-4352), 2024, v. 14, n. 10, p. 887, doi. 10.3390/cryst14100887
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- Article
The Impact of Improving Employee Psychological Empowerment and Job Performance Based on Deep Learning and Artificial Intelligence.
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- Journal of Organizational & End User Computing, 2023, v. 35, n. 3, p. 1, doi. 10.4018/JOEUC.321639
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An Application of Deep Belief Networks in Early Warning for Cerebrovascular Disease Risk.
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- Journal of Organizational & End User Computing, 2022, v. 34, n. 4, p. 1, doi. 10.4018/JOEUC.287574
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- Article
Prediction and Comparative Analysis of Peak Stress Using Optimized Constitutive and ATPSO-BP Models: A Case Study of 6016H18 Aluminum Alloy.
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- Journal of Electronic Materials, 2024, v. 53, n. 4, p. 1933, doi. 10.1007/s11664-024-10945-w
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Particle Swarm Optimization of BP-ANN Based Soft Sensor for Greenhouse Climate.
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- Journal of Electronic Commerce in Organizations, 2018, v. 16, n. 1, p. 72, doi. 10.4018/JECO.2018010106
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- Article
Using artificial neural network and non‐destructive test for crack detection in concrete surrounding the embedded steel reinforcement.
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- Structural Concrete, 2021, v. 22, n. 5, p. 2849, doi. 10.1002/suco.202000767
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- Article
Developing an Efficient Deep Learning-Based Trusted Model for Pervasive Computing Using an LSTM-Based Classification Model.
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- Complexity, 2020, p. 1, doi. 10.1155/2020/4579495
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Sorting Data via a Look-Up-Table Neural Network and Self-Regulating Index.
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- Complexity, 2020, p. 1, doi. 10.1155/2020/4793545
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- Article
Load Prediction Based on Hybrid Model of VMD-mRMR-BPNN-LSSVM.
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- Complexity, 2020, p. 1, doi. 10.1155/2020/6940786
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Interval uncertain optimization of cased telescoped ammunition interior ballistics considering tolerance design.
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- Propellants, Explosives, Pyrotechnics, 2023, v. 48, n. 5, p. 1, doi. 10.1002/prep.202200336
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Machine Learning Method to Predict Solid Propellant Breakage Efficiency of Cavitation Water Jet.
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- Propellants, Explosives, Pyrotechnics, 2022, v. 47, n. 12, p. 1, doi. 10.1002/prep.202200131
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ANN Model of Preparation of Energetic Materials by Spray Drying.
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- Propellants, Explosives, Pyrotechnics, 2021, v. 46, n. 9, p. 1405, doi. 10.1002/prep.202100086
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Comparison of the chemical profile differences of Aster tataricus between raw and processed products by metabolomics coupled with chemometrics methods.
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- Journal of Separation Science, 2021, v. 44, n. 20, p. 3883, doi. 10.1002/jssc.202100315
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Improving the Mechanical Property of Dissimilar Al/Mg Zn‐Added Ultrasound‐Assisted Friction Stir Lap Welding Joint by Back Propagation Neural Network–Gray Wolf Optimization Algorithm.
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- Advanced Engineering Materials, 2019, v. 21, n. 12, p. N.PAG, doi. 10.1002/adem.201900973
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Back propagation modeling of shear stress and viscosity of aqueous Ionic-MXene nanofluids.
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- Journal of Thermal Analysis & Calorimetry, 2021, v. 145, n. 4, p. 2129, doi. 10.1007/s10973-021-10743-0
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Experimental investigation and modeling of thermal conductivity of CuO-water/EG nanofluid by FFBP-ANN and multiple regressions.
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- Journal of Thermal Analysis & Calorimetry, 2017, v. 129, n. 2, p. 629, doi. 10.1007/s10973-017-6217-4
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Deep recurrent neural network‐based residual control chart for autocorrelated processes.
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- Quality & Reliability Engineering International, 2019, v. 35, n. 8, p. 2687, doi. 10.1002/qre.2551
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A simple and efficient approach to train artificial neural networks using a genetic algorithm to calculate the resonant frequency of an RMA on thick substrate.
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- Microwave & Optical Technology Letters, 2004, v. 41, n. 4, p. 313, doi. 10.1002/mop.20126
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A 2-D polarimetric backpropagation algorithm for ground-penetrating radar applications.
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- Microwave & Optical Technology Letters, 2001, v. 28, n. 1, p. 1, doi. 10.1002/1098-2760(20010105)28:1<1::AID-MOP1>3.0.CO;2-D
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Nonlinear stretching for enhanced learning of the backpropagation algorithm in target recognition.
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- Microwave & Optical Technology Letters, 1997, v. 16, n. 6, p. 334, doi. 10.1002/(SICI)1098-2760(19971220)16:6<334::AID-MOP4>3.0.CO;2-L
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A Practical Method for Floor Water Inrush Prediction Using a Hybrid Artificial Intelligence Model and GIS.
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- Mine Water & the Environment, 2023, v. 42, n. 2, p. 220, doi. 10.1007/s10230-023-00932-8
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Locating a New Drainage Well by Optimization of a Back Propagation Model.
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- Mine Water & the Environment, 2019, v. 38, n. 2, p. 342, doi. 10.1007/s10230-019-00593-6
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- Article
Springback prediction of high-strength sheet metal under air bending forming and tool design based on GA-BPNN.
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- International Journal of Advanced Manufacturing Technology, 2011, v. 53, n. 5-8, p. 473, doi. 10.1007/s00170-010-2846-5
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Prediction of surface roughness in turning operations by computer vision using neural network trained by differential evolution algorithm.
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- International Journal of Advanced Manufacturing Technology, 2010, v. 51, n. 9-12, p. 965, doi. 10.1007/s00170-010-2668-5
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- Article
Artificial neural network model in surface modification by EDM using tungsten-copper powder metallurgy sintered electrodes.
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- International Journal of Advanced Manufacturing Technology, 2010, v. 51, n. 5-8, p. 627, doi. 10.1007/s00170-010-2653-z
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- Article
Selection of optimum cutting condition of cobalt-based superalloy with GONNS.
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- International Journal of Advanced Manufacturing Technology, 2010, v. 46, n. 9-12, p. 957, doi. 10.1007/s00170-009-2165-x
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- Article
Parameter estimation for abrasive water jet machining process using neural networks.
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- International Journal of Advanced Manufacturing Technology, 2009, v. 40, n. 5/6, p. 497, doi. 10.1007/s00170-007-1363-7
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Modeling of TIG welding and abrasive flow machining processes using radial basis function networks.
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- International Journal of Advanced Manufacturing Technology, 2008, v. 37, n. 9-10, p. 937, doi. 10.1007/s00170-007-1026-8
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The recycling of wool clothes: an artificial neural network colour classification tool.
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- International Journal of Advanced Manufacturing Technology, 2008, v. 37, n. 7/8, p. 722, doi. 10.1007/s00170-007-1011-2
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- Article
Precision motion control of permanent magnet linear motors.
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- International Journal of Advanced Manufacturing Technology, 2007, v. 35, n. 3/4, p. 301, doi. 10.1007/s00170-006-0727-8
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Robust parameter design for signal-response systems by soft computing.
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- International Journal of Advanced Manufacturing Technology, 2007, v. 33, n. 11/12, p. 1077, doi. 10.1007/s00170-006-0551-1
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Prediction of chip flow angle in orthogonal turning of mild steel by neural network approach.
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- International Journal of Advanced Manufacturing Technology, 2007, v. 33, n. 3/4, p. 251, doi. 10.1007/s00170-006-0460-3
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- Article
The efficacy of back propagation neural network with delta bar delta learning in predicting the wear of carbide inserts in face milling.
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- International Journal of Advanced Manufacturing Technology, 2006, v. 31, n. 5/6, p. 434, doi. 10.1007/s00170-005-0230-7
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An artificial-neural-networks-based in-process tool wear prediction system in milling operations.
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- International Journal of Advanced Manufacturing Technology, 2005, v. 25, n. 5/6, p. 427, doi. 10.1007/s00170-003-1848-y
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- Article
Optimisation of Plastic Injection Moulding Process with Soft Computing.
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- International Journal of Advanced Manufacturing Technology, 2003, v. 21, n. 9, p. 656, doi. 10.1007/s00170-002-1374-3
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- Article
Action recognition based on Riemannian manifold distance measurement and adaptive weighted feature fusion.
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- Journal of Electronic Imaging, 2022, v. 31, n. 2, p. 23009, doi. 10.1117/1.JEI.31.2.023009
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Topic network: topic model with deep learning for image classification.
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- Journal of Electronic Imaging, 2018, v. 27, n. 3, p. 1, doi. 10.1117/1.JEI.27.3.033009
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Preoperative contrast-enhanced CT-based radiomics nomogram for differentiating benign and malignant primary retroperitoneal tumors.
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- European Radiology, 2023, v. 33, n. 10, p. 6781, doi. 10.1007/s00330-023-09686-x
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- Article
A generalized regression neural network–based method for predicting cumulative infiltration volume in shallow slopes.
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- Bulletin of Engineering Geology & the Environment, 2021, v. 80, n. 9, p. 7269, doi. 10.1007/s10064-021-02364-6
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- Article
A machine learning method for inclinometer lateral deflection calculation based on distributed strain sensing technology.
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- Bulletin of Engineering Geology & the Environment, 2020, v. 79, n. 7, p. 3383, doi. 10.1007/s10064-020-01749-3
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Development of artificial neural networks and multiple regression models for the NATM tunnelling-induced settlement in Niayesh subway tunnel, Tehran.
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- Bulletin of Engineering Geology & the Environment, 2015, v. 74, n. 3, p. 827, doi. 10.1007/s10064-014-0660-2
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Sensitivity of European glaciers to precipitation and temperature – two case studies.
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- Climatic Change, 2008, v. 90, n. 4, p. 413, doi. 10.1007/s10584-008-9393-1
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- Article
Residual displacement estimation of the bilinear SDOF systems under the near-fault ground motions using the BP neural network.
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- Advances in Structural Engineering, 2022, v. 25, n. 3, p. 552, doi. 10.1177/13694332211058530
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Strength index analysis of concrete with large size recycled aggregate based on back propagation neural network.
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- Advances in Structural Engineering, 2022, v. 25, n. 1, p. 133, doi. 10.1177/13694332211046348
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- Article
Improved time-dependent seismic fragility estimates for deteriorating RC bridge substructures exposed to chloride attack.
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- Advances in Structural Engineering, 2021, v. 24, n. 3, p. 437, doi. 10.1177/1369433220956812
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Study of damage identification for bridges based on deep belief network.
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- Advances in Structural Engineering, 2020, v. 23, n. 8, p. 1562, doi. 10.1177/1369433219898058
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Effects of random winds and waves on a long-span cross-sea bridge using Bayesian regularized back propagation neural network.
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- Advances in Structural Engineering, 2020, v. 23, n. 4, p. 733, doi. 10.1177/1369433219880446
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