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

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