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book article EST / book article ENG

Automated training set size reduction for detection of small and thin objectsPihlak, Rene; Riid, Andri12th International Conference on Information Systems and Advanced Technologies "ICISAT 2022" : Intelligent Information, Data Science and Decision Support System2023 / p. 423-433 https://doi.org/10.1007/978-3-031-25344-7_39 Conference Proceedings at Scopus Article at Scopus

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Edge intelligence resource consumption by UAV-based IR object detectionPolukhin, Andrii; Gordienko, Yuri; Leier, Mairo; Jervan, Gert; Rokovyi, Oleksandr; Alienin, Oleg; Stirenko, SergiiUAVM '23 : proceedings of the 2023 Workshop on UAVs in multimedia : capturing the world from a new perspective2023 / p. 57-61 https://doi.org/10.1145/3607834.3616566

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Effects of annotation quality on model performanceAlhazmi, Khaled; Alsumari, Walaa; Seppo, Indrek; Podkuiko, Lara; Simon, Martin2021 International Conference on Artificial Intelligence in Information and Communication (ICAIIC), 13-16 April 20212021 / p. 063–067 https://doi.org/10.1109/ICAIIC51459.2021.9415271

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Exploring deep learning based object detection architecturSaddique, Muhammad Saddique; Raza, Ahsan; Abideen, Zain Ul; Khan, Shah Nawaz2020 17th International Bhurban Conference on Applied Sciences and Technology (IBCAST), Islamabad, Pakistan, 20202020 / p. 255-259 https://doi.org/10.1109/IBCAST47879.2020.9044558

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Multi-stage deep learning networks for automated assessment of electricity transmission infrastructure using fly-by imagesManninen, Henri; Ramlal, Craig J.; Singh, Arvind; Kilter, Jako; Landsberg, MartElectric power systems research2022 / art. 107948 https://doi.org/10.1016/j.epsr.2022.107948 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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6

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Object detection for military surveillance using distributed multimodal smart sensorsAstapov, Sergei; Preden, Jürgo-Sören; Ehala, Johannes; Riid, Andri2014 19th International Conference on Digital Signal Processing2014 / p. 366-371 : ill

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Object detection for rescue operations by high-altitude infrared thermal imaging collected by unmanned aerial vehiclesPolukhin, Andrii; Gordienko, Yuri; Jervan, Gert; Stirenko, SergiiPattern Recognition and Image Analysis : 11th Iberian Conference, IbPRIA 2023, Alicante, Spain, June 27–30, 2023 : proceedings2023 / p. 490-504 https://doi.org/10.1007/978-3-031-36616-1_39 Conference proceedings at Scopus Article at Scopus

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8

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Open urban mmWave radar and camera vehicle classification dataset for traffic monitoringSoom, Jürgen; Leier, Mairo; Janson, Karl; Tuhtan, Jeffrey A.IEEE Access2024 / p. 65128 - 65140 https://doi.org/10.1109/ACCESS.2024.3397013 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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PCGOD: Enhancing object detection with synthetic data for scarce and sensitive computer vision tasksRemmas, Walid; Lints, Martin; Uudmae, Jaak JoonasIEEE Access2025 / p. 91325-91333 https://doi.org/10.1109/ACCESS.2025.3572719

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A systematic review of cutting-edge radar technologies : applications for unmanned ground vehicles (UGVs)Ersü, Can; Petlenkov, Eduard; Janson, KarlSensors2024 / art. 7807 https://doi.org/10.3390/s24237807 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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11

book article

Toward automated utility pole condition monitoring : a deep learning approachRamlal, Craig J.; Singh, Arvind; Rocke, Sean; Manninen, Henri; Kilter, Jako; Landsberg, MartProceedings of 2020 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe), 26-28 October, 20202020 / p. 255–259 https://doi.org/10.1109/ISGT-Europe47291.2020.9248797

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Related publications 1
- Data-driven asset management and condition assessment methodology for transmission overhead lines = Ülekandevõrgu õhuliinide andmepõhine varahalduse ja seisundi hindamise metoodika

Number of records 11, displaying 1 - 11

1. multi-classed object detection
2. object detection
3. anticompetitive object/effect
4. Boundary object
5. Digital Object Memory
6. dynamic object
7. free object of a variety
8. generic object-oriented substation event
9. immediate object
10. object
11. object constraint languages
12. object detecting
13. object model
14. object oriented concepts
15. object segmentation
16. object similarity
17. object-oriented approach
18. object-oriented design
19. object-oriented programming
20. object-oriented programming languages
21. object-relational database
22. amoxicillin detection
23. anomaly detection
24. anomaly detection for system logs
25. antibiotic detection
26. antibiotics detection
27. aspect detection
28. asynchronous fault detection
29. attack detection
30. barotrauma detection system
31. Barotrauma detection system sensors
32. behaviour-based intrusion detection systems
33. body detection
34. botnet detection
35. capacitively coupled conductivity detection
36. change detection
37. chemical detection
38. community detection
39. compu ter-aided detection(CAD)
40. computer-aided detection
41. computer‐aided detection
42. contactless conductivity detection
43. contactless conductivity detection (C4D)
44. crack detection
45. crash detection
46. cyber intrusion detection
47. defect detection
48. detection
49. detection efficiency
50. detection engineering
51. detection method
52. detection methods
53. detection of anomalous end user nodes
54. detection of hydrogen isotopes
55. distributed detection
56. early detection
57. early intrusion detection
58. energy detection
59. error detection
60. ESI-MS and IM detection
61. Event detection
62. extraction and detection methods
63. face detection
64. Face Manipulation Detection
65. failure detection
66. fall detection
67. fault detection
68. fault detection and diagnoses
69. fault detection and diagnosis
70. Fish detection
71. fouling detection
72. harmonic detection
73. hepatitis C virus (HCV) detection
74. hubs detection
75. IED detection
76. image-based crack detection
77. indicident detection and response
78. indirect UV absorbance detection
79. intrusion detection
80. intrusion detection system
81. intrusion detection system (IDS)
82. intrusion detection systems
83. island detection
84. islanding detection
85. label-free detection
86. lane detection
87. LED fluorescence detection
88. leg detection
89. light detection and ranging
90. light detection and ranging (LiDAR)
91. Light Detection and Ranging (LiDAR) point cloud
92. limit of detection
93. lock-in detection
94. loop-closure detection
95. malware detection
96. marker detection
97. mobile malware detection
98. money laundering detection systems
99. monitoring and detection
100. Multi-valued Simulation for Hazard Detection in Digital Circuits
101. mutant detection
102. network anomaly detection
103. network intrusion detection system
104. nodules detection
105. oil-spill detection
106. outlier’s detection methods
107. outliers detection
108. peak detection
109. phytoplankton detection methods
110. plagiarism detection
111. position detection
112. precursor detection
113. protein detection
114. proton detection
115. radar detection
116. ramp event detection
117. recycled FPGA detection
118. residual current detection
119. robust detection
120. scene text detection
121. short-circuit detection
122. small molecule detection
123. speech activity detection
124. Suicidal ideation detection
125. synchronous detection
126. topic detection
127. tyre detection
128. unmanned aerial vehicle detection systems
129. unsupervised outlier detection
130. UV detection
131. vehicle detection
132. vortex detection
133. 3D lane detection

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