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Deep learning for detection of pavement distress using nonideal photographic imagesTepljakov, Aleksei; Riid, Andri; Pihlak, Rene; Vassiljeva, Kristina; Petlenkov, Eduard2019 42nd International Conference on Telecommunications and Signal Processing (TSP)2019 / p. 195-200 : ill https://doi.org/10.1109/TSP.2019.8769086

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Pavement distress detection with deep learning using the orthoframes acquired by a mobile mapping systemRiid, Andri; Lõuk, Roland; Pihlak, Rene; Tepljakov, Aleksei; Vassiljeva, KristinaApplied sciences2019 / art. 4829, 22 p. : ill https://doi.org/10.3390/app9224829 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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Number of records 2, displaying 1 - 2

1. defect detection
2. defect and failure analysis
3. defect characterization
4. defect chemistry
5. defect identification
6. Defect states
7. defect structure
8. hann-shaped defect
9. marginal defect
10. point defect
11. surface defect
12. amoxicillin detection
13. anomaly detection
14. anomaly detection for system logs
15. antibiotic detection
16. antibiotics detection
17. aspect detection
18. asynchronous fault detection
19. attack detection
20. barotrauma detection system
21. Barotrauma detection system sensors
22. behaviour-based intrusion detection systems
23. body detection
24. botnet detection
25. capacitively coupled conductivity detection
26. change detection
27. chemical detection
28. community detection
29. compu ter-aided detection(CAD)
30. computer-aided detection
31. computer‐aided detection
32. contactless conductivity detection
33. contactless conductivity detection (C4D)
34. crack detection
35. crash detection
36. cyber intrusion detection
37. detection
38. detection efficiency
39. detection engineering
40. detection method
41. detection methods
42. detection of anomalous end user nodes
43. detection of hydrogen isotopes
44. distributed detection
45. early detection
46. early intrusion detection
47. energy detection
48. error detection
49. ESI-MS and IM detection
50. Event detection
51. extraction and detection methods
52. face detection
53. Face Manipulation Detection
54. failure detection
55. fall detection
56. fault detection
57. fault detection and diagnoses
58. fault detection and diagnosis
59. Fish detection
60. fouling detection
61. harmonic detection
62. hepatitis C virus (HCV) detection
63. hubs detection
64. IED detection
65. image-based crack detection
66. indicident detection and response
67. indirect UV absorbance detection
68. intrusion detection
69. intrusion detection system
70. intrusion detection system (IDS)
71. intrusion detection systems
72. island detection
73. islanding detection
74. label-free detection
75. lane detection
76. LED fluorescence detection
77. leg detection
78. light detection and ranging
79. light detection and ranging (LiDAR)
80. Light Detection and Ranging (LiDAR) point cloud
81. limit of detection
82. lock-in detection
83. loop-closure detection
84. malware detection
85. marker detection
86. mobile malware detection
87. money laundering detection systems
88. monitoring and detection
89. multi-classed object detection
90. Multi-valued Simulation for Hazard Detection in Digital Circuits
91. mutant detection
92. network anomaly detection
93. network intrusion detection system
94. nodules detection
95. object detection
96. oil-spill detection
97. outlier’s detection methods
98. outliers detection
99. peak detection
100. phytoplankton detection methods
101. plagiarism detection
102. position detection
103. precursor detection
104. protein detection
105. proton detection
106. radar detection
107. ramp event detection
108. recycled FPGA detection
109. residual current detection
110. robust detection
111. scene text detection
112. short-circuit detection
113. small molecule detection
114. speech activity detection
115. Suicidal ideation detection
116. synchronous detection
117. tyre detection
118. unmanned aerial vehicle detection systems
119. unsupervised outlier detection
120. UV detection
121. vehicle detection
122. vortex detection
123. 3D lane detection

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