False Detection Reduction
False Detection Reduction is a methodological approach in camera trap monitoring that systematically minimizes erroneous species identifications by distinguishing biological signals from non-biological artifacts or environmental noise through automated filtering techniques.
50
Publications
2.1K
Citations
187
Authors
87
Institutions
Publications per year
2017–2026
20
Parents
50
An Infrared Small Target Detecting Algorithm Based on Human Visual System
Jinhui Han, Yong Ma, Jun Huang et al. · IEEE Geoscience and Remote Sensing Letters · 2016 · 141 citations
A deep CNN based transfer learning method for false positive reduction
Zhenghao Shi, Minghua Zhao, Yaning Feng et al. · Multimedia Tools and Applications · 2018 · 130 citations
Blockchain framework for IoT data quality via edge computing
Roberto Casado‐Vara, Fernando De la Prieta, Javier Prieto et al. · 2018 · 120 citations
1–5 of 50
187
2
h-index
1
h-index
1
h-index
1
h-index
1
h-index
1–5 of 187
87

Indian Institute of Technology Roorkee
Roorkee, India
2 h-index
6 publications
340 citations
University of Alabama
Tuscaloosa, United States
2 h-index
3 publications
104 citations

Delft University of Technology
Delft, The Netherlands
1 h-index
2 publications
44 citations

Deakin University
Burwood, Australia
1 h-index
3 publications
45 citations
Naval Information Warfare Systems Command
San Diego, United States
1 h-index
1 publications
182 citations
Innovative Research (United States)
Minneapolis, United States
1 h-index
1 publications
130 citations
University of Connecticut
Storrs, United States
1 h-index
1 publications
19 citations

Hong Kong Polytechnic University
Hong Kong, Hong Kong
1 h-index
4 publications
380 citations
1–8 of 87
3 publications · 63 citations
3
h-index
3 publications · 50 citations
3
h-index
2 publications · 296 citations
2
h-index
2 publications · 61 citations
2
h-index
2 publications · 43 citations
2
h-index
1–5