相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Healthcare Data Quality Assessment for Cybersecurity Intelligence
Yang Li et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2023)
Entropy-based redundancy analysis and information screening
Yang Li et al.
DIGITAL COMMUNICATIONS AND NETWORKS (2023)
Kerala Bird Atlas 2015-20: features, outcomes and implications of a citizen-science project
Group Author Only
CURRENT SCIENCE (2022)
Errors in aerial survey count data: Identifying pitfalls and solutions
Kayla L. Davis et al.
ECOLOGY AND EVOLUTION (2022)
A re-survey in 2019-2021 of winter bird communities in the Oregon Coast Range, USA, initially surveyed in 1968-1970
Nolan M. Clements et al.
BIODIVERSITY DATA JOURNAL (2022)
Machine learning to detect marine animals in UAV imagery: effect of morphology, spacing, behaviour and habitat
Antoine M. Dujon et al.
REMOTE SENSING IN ECOLOGY AND CONSERVATION (2021)
21 000 birds in 4.5 h: efficient large-scale seabird detection with machine learning
Benjamin Kellenberger et al.
REMOTE SENSING IN ECOLOGY AND CONSERVATION (2021)
Drones and deep learning produce accurate and efficient monitoring of large-scale seabird colonies
Madeline C. Hayes et al.
ORNITHOLOGICAL APPLICATIONS (2021)
A Temporal Boosted YOLO-Based Model for Birds Detection around Wind Farms
Hiba Alqaysi et al.
JOURNAL OF IMAGING (2021)
Automated Bird Counting with Deep Learning for Regional Bird Distribution Mapping
Huseyin Gokhan Akcay et al.
ANIMALS (2020)
Unoccupied Aircraft Systems in Marine Science and Conservation
David W. Johnston
ANNUAL REVIEW OF MARINE SCIENCE, VOL 11 (2019)
Application of Deep-Learning Methods to Bird Detection Using Unmanned Aerial Vehicle Imagery
Suk-Ju Hong et al.
SENSORS (2019)
Human-level performance in 3D multiplayer games with population-based reinforcement learning
Max Jaderberg et al.
SCIENCE (2019)
Surveying Wild Animals from Satellites, Manned Aircraft and Unmanned Aerial Systems (UASs): A Review
Dongliang Wang et al.
REMOTE SENSING (2019)
Aerial-trained deep learning networks for surveying cetaceans from satellite imagery
Alex Borowicz et al.
PLOS ONE (2019)
Decline of the North American avifauna
Kenneth V. Rosenberg et al.
SCIENCE (2019)
Transformation to Advanced Mechatronics Systems Within New Industrial Revolution: A Navel Framework in Automation of Everything (AoE)
Kaya Kuru et al.
IEEE ACCESS (2019)
Novel hybrid object-based non-parametric clustering approach for grouping similar objects in specific visual domains
Kaya Kuru et al.
APPLIED SOFT COMPUTING (2018)
Environmental Data Science
Karina Gibert et al.
ENVIRONMENTAL MODELLING & SOFTWARE (2018)
An approach for using off-the-shelf object-based image analysis software to detect and count birds in large volumes of aerial imagery
Dominique Chabot et al.
AVIAN CONSERVATION AND ECOLOGY (2018)
How do you find the green sheep? A critical review of the use of remotely sensed imagery to detect and count animals
Tracey Hollings et al.
METHODS IN ECOLOGY AND EVOLUTION (2018)
A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play
David Silver et al.
SCIENCE (2018)
Advanced Control in Marine Mechatronic Systems: A Survey
Yang Shi et al.
IEEE-ASME TRANSACTIONS ON MECHATRONICS (2017)
Mastering the game of Go without human knowledge
David Silver et al.
NATURE (2017)
DeepStack: Expert-level artificial intelligence in heads-up no-limit poker
Matej Moravcik et al.
SCIENCE (2017)
Computer-automated bird detection and counts in high-resolution aerial images: a review
Dominique Chabot et al.
JOURNAL OF FIELD ORNITHOLOGY (2016)
Mastering the game of Go with deep neural networks and tree search
David Silver et al.
NATURE (2016)
Double-observer evaluation of pronghorn aerial line-transect surveys
Timothy J. Smyser et al.
WILDLIFE RESEARCH (2016)
Indicator species for avian biodiversity hotspots: Combination of specialists and generalists is necessary in less natural environments
Federico Morelli
JOURNAL FOR NATURE CONSERVATION (2015)
Human-level control through deep reinforcement learning
Volodymyr Mnih et al.
NATURE (2015)
Population Trend of the World's Monitored Seabirds, 1950-2010
Michelle Paleczny et al.
PLOS ONE (2015)
Sample Selection for Training Cascade Detectors
Noelia Vallez et al.
PLOS ONE (2015)
Remote sensing image data and automated analysis to describe marine bird distributions and abundances
Geoff Groom et al.
ECOLOGICAL INFORMATICS (2013)
A novel report generation approach for medical applications: The SISDS methodology and its applications
K. Kuru et al.
INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS (2013)
Multiresolution gray-scale and rotation invariant texture classification with local binary patterns
T Ojala et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2002)