Co-op: An Out-of-Classroom Experience.
- Published in:
- JOM: The Journal of The Minerals, Metals & Materials Society (TMS), 2013, v. 65, n. 9, p. 1267, doi. 10.1007/s11837-013-0731-z
- Publication type:
- Article
Works matching DE "CASE Western Reserve University"
Results: 308
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FATIGUE, SLEEPINESS, AND RISK-TAKING BEHAVIOR IN MILITARY AVIATORS.
- Published in:
- Aerospace Medicine & Human Performance, 2024, v. 95, n. 8, p. 590
- By:
- Publication type:
- Article
3
Darker-Skinned Patients Have Lower Cancer Survival Rates.
- Published in:
- JNCI: Journal of the National Cancer Institute, 2016, v. 108, n. 11, p. 1, doi. 10.1093/jnci/djw285
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- Publication type:
- Article
4
OHIO.
- Published in:
- Journal of Education, 1897, v. 46, n. 7, p. 108
- Publication type:
- Article
5
Students’ perception of medical school stress and their evaluation of a wellness elective.
- Published in:
- Medical Education, 2001, v. 35, n. 7, p. 652, doi. 10.1046/j.1365-2923.2001.00956.x
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- Publication type:
- Article
6
A modular fault diagnosis method for rolling bearing based on mask kernel and multi-head self-attention mechanism.
- Published in:
- Transactions of the Institute of Measurement & Control, 2024, v. 46, n. 5, p. 899, doi. 10.1177/01423312231188777
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- Publication type:
- Article
7
did you know...
- Published in:
- BioScience, 1971, v. 21, n. 9, p. 432
- Publication type:
- Article
8
Emerging technology education.
- Published in:
- EE: Evaluation Engineering, 2015, v. 54, n. 12, p. 28
- By:
- Publication type:
- Article
9
Ohio CTSAs Implement a Reliant IRB Model for Investigator-Initiated Multicenter Clinical Trials.
- Published in:
- CTS: Clinical & Translational Science, 2013, v. 6, n. 3, p. 176, doi. 10.1111/cts.12074
- By:
- Publication type:
- Article
10
RBFNN Fault Diagnosis Method of Rolling Bearing Based on Improved Ensemble Empirical Mode Decomposition and Singular Value Decomposition.
- Published in:
- IAENG International Journal of Computer Science, 2022, v. 49, n. 3, p. 616
- By:
- Publication type:
- Article
11
Bearing fault diagnosis method based on recurrence plot and improved EfficientNetV2-S.
- Published in:
- Insight: Non-Destructive Testing & Condition Monitoring, 2024, v. 66, n. 8, p. 493, doi. 10.1784/insi.2024.66.8.493
- By:
- Publication type:
- Article
12
Small-sample fault diagnosis study of rolling bearings based on a residual parameterised convolutional capsule network.
- Published in:
- Insight: Non-Destructive Testing & Condition Monitoring, 2024, v. 66, n. 4, p. 215, doi. 10.1784/insi.2024.66.4.215
- By:
- Publication type:
- Article
13
Multi-view feature fusion fault diagnosis method based on an improved temporal convolutional network.
- Published in:
- Insight: Non-Destructive Testing & Condition Monitoring, 2023, v. 65, n. 10, p. 559, doi. 10.1784/insi.2023.65.10.559
- By:
- Publication type:
- Article
14
A generalised machine learning model based on multinomial logistic regression and frequency features for rolling bearing fault classification.
- Published in:
- Insight: Non-Destructive Testing & Condition Monitoring, 2022, v. 64, n. 8, p. 447, doi. 10.1784/insi.2022.64.8.447
- By:
- Publication type:
- Article
15
Business as an Agent for World Benefit?
- Published in:
- Business Renaissance Quarterly, 2006, v. 1, n. 3, p. 25
- By:
- Publication type:
- Article
16
Dr. Novick named CC College of Medicine associate dean.
- Published in:
- Urology Times, 2002, v. 30, n. 8, p. 5
- Publication type:
- Article
17
A novel bearing fault diagnosis method using deep residual learning network.
- Published in:
- Multimedia Tools & Applications, 2022, v. 81, n. 16, p. 22407, doi. 10.1007/s11042-021-11617-1
- By:
- Publication type:
- Article
18
多通道信息融合与深度迁移学习的旋转机械 故障诊断.
- Published in:
- China Mechanical Engineering, 2023, v. 34, n. 8, p. 966, doi. 10.3969/j.issn.1004-132X.2023.08.011
- By:
- Publication type:
- Article
19
残差卷积自编码网络无监督迁移轴承故障诊断.
- Published in:
- China Mechanical Engineering, 2022, v. 33, n. 14, p. 1707, doi. 10.3969/j.issn.1004-132X.2022.14.009
- By:
- Publication type:
- Article
20
基于 DWT-MFE与 LSSVM 的滚动轴承故障诊断.
- Published in:
- Journal of Xi'an Polytechnic University, 2021, v. 35, n. 5, p. 80, doi. 10.13338/ji.ssn.1674-649x.2021.05.012
- By:
- Publication type:
- Article
21
REFORMING THE U.S. HEALTH CARE SYSTEM: WHAT THE LEGAL & MEDICAL PROFESSIONS NEED TO KNOW.
- Published in:
- 2005
- By:
- Publication type:
- Speech
22
基于 GADF 与引入迁移学习的 RestNet34 对 变速轴承的故障诊断.
- Published in:
- Journal of Northeastern University (Natural Science), 2022, v. 43, n. 3, p. 383, doi. 10.12068/j.issn.1005-3026.2022.03.011
- By:
- Publication type:
- Article
23
一种基于Ｎｅｗｔｏｎ 迭代法的累积Ｌｏｇｉｓｔｉｃ 回归模型参数估计
- Published in:
- Journal of Northeastern University (Natural Science), 2020, v. 41, n. 1, p. 79, doi. 10.12068/j.issn.1005-3026.2020.01.014
- By:
- Publication type:
- Article
24
Remaining Useful Life Prediction and Fault Diagnosis of Rolling Bearings Based on Short-Time Fourier Transform and Convolutional Neural Network.
- Published in:
- Shock & Vibration, 2020, p. 1, doi. 10.1155/2020/8857307
- By:
- Publication type:
- Article
25
Application of Feature Fusion Using Coaxial Vibration Signal for Diagnosis of Rolling Element Bearings.
- Published in:
- Shock & Vibration, 2020, p. 1, doi. 10.1155/2020/8831723
- By:
- Publication type:
- Article
26
Optimal Statistical Feature Subset Selection for Bearing Fault Detection and Severity Estimation.
- Published in:
- Shock & Vibration, 2020, p. 1, doi. 10.1155/2020/5742053
- By:
- Publication type:
- Article
27
Deep Domain Adaptation Model for Bearing Fault Diagnosis with Domain Alignment and Discriminative Feature Learning.
- Published in:
- Shock & Vibration, 2020, p. 1, doi. 10.1155/2020/4676701
- By:
- Publication type:
- Article
28
A Novel Bearing Fault Diagnosis Methodology Based on SVD and One-Dimensional Convolutional Neural Network.
- Published in:
- Shock & Vibration, 2020, p. 1, doi. 10.1155/2020/1850286
- By:
- Publication type:
- Article
29
Fine-Grained Fault Diagnosis Method of Rolling Bearing Combining Multisynchrosqueezing Transform and Sparse Feature Coding Based on Dictionary Learning.
- Published in:
- Shock & Vibration, 2019, p. 1, doi. 10.1155/2019/1531079
- By:
- Publication type:
- Article
30
A Novel Wind Turbine Rolling Element Bearing Fault Diagnosis Method Based on CEEMDAN and Improved TFR Demodulation Analysis.
- Published in:
- Energies (19961073), 2024, v. 17, n. 4, p. 819, doi. 10.3390/en17040819
- By:
- Publication type:
- Article
31
Fault Diagnosis of Wind Turbine Bearings Based on CEEMDAN-GWO-KELM.
- Published in:
- Energies (19961073), 2023, v. 16, n. 1, p. 48, doi. 10.3390/en16010048
- By:
- Publication type:
- Article
32
The Method of Rolling Bearing Fault Diagnosis Based on Multi-Domain Supervised Learning of Convolution Neural Network.
- Published in:
- Energies (19961073), 2022, v. 15, n. 13, p. 4614, doi. 10.3390/en15134614
- By:
- Publication type:
- Article
33
Deep Learning Aided Data-Driven Fault Diagnosis of Rotatory Machine: A Comprehensive Review.
- Published in:
- Energies (19961073), 2021, v. 14, n. 16, p. 5150, doi. 10.3390/en14165150
- By:
- Publication type:
- Article
34
LW-Net: an interpretable network with smart lifting wavelet kernel for mechanical feature extraction and fault diagnosis.
- Published in:
- Neural Computing & Applications, 2022, v. 34, n. 18, p. 15661, doi. 10.1007/s00521-022-07225-1
- By:
- Publication type:
- Article
35
A transfer convolutional neural network for fault diagnosis based on ResNet-50.
- Published in:
- Neural Computing & Applications, 2020, v. 32, n. 10, p. 6111, doi. 10.1007/s00521-019-04097-w
- By:
- Publication type:
- Article
36
A mechanical data analysis using kurtogram and extreme learning machine.
- Published in:
- Neural Computing & Applications, 2020, v. 32, n. 8, p. 3789, doi. 10.1007/s00521-019-04398-0
- By:
- Publication type:
- Article
37
Fault Feature Extraction Method of Rolling Bearing Based on IAFD and TKEO.
- Published in:
- Journal of Sensors, 2024, v. 2024, p. 1, doi. 10.1155/2024/8551009
- By:
- Publication type:
- Article
38
Fault Classification of Rolling Element Bearing in Machine Learning Domain.
- Published in:
- International Journal of Acoustics & Vibration, 2022, v. 27, n. 2, p. 77, doi. 10.20855/ijav.2022.27.21829
- By:
- Publication type:
- Article
39
Diagnosis of Ball Bearing Faults Using Double Decomposition Technique.
- Published in:
- International Journal of Acoustics & Vibration, 2020, v. 25, n. 3, p. 327, doi. 10.20855/ijav.2020.25.31609
- By:
- Publication type:
- Article
40
An Intelligent Detection System Development for Local Faults in a Ball Bearing.
- Published in:
- International Journal of Acoustics & Vibration, 2019, v. 24, n. 2, p. 365
- By:
- Publication type:
- Article
41
Editor's notes.
- Published in:
- Nonprofit Management & Leadership, 2005, v. 16, n. 2, p. 129, doi. 10.1002/nml.96
- By:
- Publication type:
- Article
42
The faustian dilemmas of funded research at Case institute...
- Published in:
- Science, Technology & Human Values, 1993, v. 18, n. 3, p. 303, doi. 10.1177/016224399301800303
- By:
- Publication type:
- Article
43
基于生物免疫机理的连续学习故障诊断方法.
- Published in:
- Journal of Changzhou University (Natural Science Edition) / Changzhou Daxue Xuebao (Ziran Kexue Ban), 2022, v. 34, n. 6, p. 54, doi. 10.3969/j.issn.2095-0411.2022.06.007
- By:
- Publication type:
- Article
44
Training the next generation of translational scientists: The Case Western Reserve University Translational Fellows Program.
- Published in:
- Journal of Clinical & Translational Science, 2022, v. 6, n. 1, p. 1, doi. 10.1017/cts.2022.390
- By:
- Publication type:
- Article
45
Optimizing biomedical discoveries as an engine of culture change in an academic medical center.
- Published in:
- Journal of Clinical & Translational Science, 2022, v. 6, n. 1, p. 1, doi. 10.1017/cts.2021.888
- By:
- Publication type:
- Article
46
Feature-based performance of SVM and KNN classifiers for diagnosis of rolling element bearing faults.
- Published in:
- Vibroengineering Procedia, 2021, v. 39, p. 36, doi. 10.21595/vp.2021.22307
- By:
- Publication type:
- Article
47
An intelligent bearing fault diagnosis method based on the AFEEMD and 1D CNNs.
- Published in:
- Vibroengineering Procedia, 2019, v. 28, p. 18, doi. 10.21595/vp.2019.20869
- By:
- Publication type:
- Article
48
A Novel Sparse Enhancement Neural Network for Rolling Bearing Fault Diagnosis.
- Published in:
- Shock & Vibration, 2022, p. 1, doi. 10.1155/2022/8552388
- By:
- Publication type:
- Article
49
Fault Diagnosis of Axle Box Bearing with Acoustic Signal Based on Chirplet Transform and Support Vector Machine.
- Published in:
- Shock & Vibration, 2022, p. 1, doi. 10.1155/2022/9868999
- By:
- Publication type:
- Article
50
Are SMART COATINGS Getting Smarter?
- Published in:
- CoatingsTech, 2011, v. 8, n. 7, p. 26
- By:
- Publication type:
- Article