A comprehensive survey of recent trends in deep learning for digital images augmentation
Deep learning proved its efficiency in many fields of computer science such as computer
vision, image classifications, object detection, image segmentation, and more. Deep …
vision, image classifications, object detection, image segmentation, and more. Deep …
Towards the fully automated monitoring of ecological communities
High‐resolution monitoring is fundamental to understand ecosystems dynamics in an era of
global change and biodiversity declines. While real‐time and automated monitoring of …
global change and biodiversity declines. While real‐time and automated monitoring of …
[HTML][HTML] Perspectives in machine learning for wildlife conservation
Inexpensive and accessible sensors are accelerating data acquisition in animal ecology.
These technologies hold great potential for large-scale ecological understanding, but are …
These technologies hold great potential for large-scale ecological understanding, but are …
Deep learning as a tool for ecology and evolution
Deep learning is driving recent advances behind many everyday technologies, including
speech and image recognition, natural language processing and autonomous driving. It is …
speech and image recognition, natural language processing and autonomous driving. It is …
Object detection and image segmentation with deep learning on Earth observation data: A review—Part II: Applications
In Earth observation (EO), large-scale land-surface dynamics are traditionally analyzed by
investigating aggregated classes. The increase in data with a very high spatial resolution …
investigating aggregated classes. The increase in data with a very high spatial resolution …
Sensors, features, and machine learning for oil spill detection and monitoring: A review
Remote sensing technologies and machine learning (ML) algorithms play an increasingly
important role in accurate detection and monitoring of oil spill slicks, assisting scientists in …
important role in accurate detection and monitoring of oil spill slicks, assisting scientists in …
Marine mammal conservation: over the horizon
Marine mammals can play important ecological roles in aquatic ecosystems, and their
presence can be key to community structure and function. Consequently, marine mammals …
presence can be key to community structure and function. Consequently, marine mammals …
Deep learning for visual recognition and detection of aquatic animals: A review
J Li, W Xu, L Deng, Y Xiao, Z Han… - Reviews in …, 2023 - Wiley Online Library
The ocean is an important ecosystem, and aquatic animals play an important role in the
biological world, especially in aquaculture. How to accurately and intelligently recognise …
biological world, especially in aquaculture. How to accurately and intelligently recognise …
Deep learning enables satellite-based monitoring of large populations of terrestrial mammals across heterogeneous landscape
New satellite remote sensing and machine learning techniques offer untapped possibilities
to monitor global biodiversity with unprecedented speed and precision. These efficiencies …
to monitor global biodiversity with unprecedented speed and precision. These efficiencies …
Complex anthropogenic interaction on vegetation greening in the Chinese Loess Plateau
Vegetation greening steered by land use management in the Chinese Loess Plateau has
been widely reported, however studies that quantitatively assessing and explicitly linking the …
been widely reported, however studies that quantitatively assessing and explicitly linking the …