AIMC Topic: Conservation of Natural Resources

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A new deep learning approach based on bilateral semantic segmentation models for sustainable estuarine wetland ecosystem management.

The Science of the total environment May 10, 2022
Nowadays, estuarial areas have been strongly affected by the construction of electrical power dams from upstream, downstream urbanization and many types of hazards along the coastal regions. It has resulted in significant changes in estuarine wetland...
Ecosystem Deep Learning Wetlands Estuaries Semantics Conservation of Natural Resources
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Contemporary Urban Space Philosophy in China Using Lightweight Deep Learning Model-Under Ecological Ethics.

Computational intelligence and neuroscience Mar 18, 2022
It aims to improve the construction of ecological civilization and promote the common development of urban and ecology. Firstly, contemporary ecological ethics is explored, and its principles and characteristics are summarized. Then, the technique of...
Conservation of Natural Resources Philosophy Ecosystem Deep Learning China
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Dynamic Evolution Analysis of Desertification Images Based on BP Neural Network.

Computational intelligence and neuroscience Mar 17, 2022
In recent years, with the rise of artificial intelligence, deep neural network models have been used in various image recognition researches. Land desertification is a major environmental problem facing the world at present, and how to do a good job ...
Artificial Intelligence Conservation of Natural Resources Neural Networks, Computer Algorithms
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Evaluating water resource carrying capacity using the deep learning method: a case study of Yunnan, Southwest China.

Environmental science and pollution research international Feb 24, 2022
Water resource carrying capacity (WRCC) is an important index for measuring the relations between water resource systems and socio-economic-environmental development. In view of the difficulty in describing the complex and nonlinear relationships bet...
Water Resources Conservation of Natural Resources Economic Development Deep Learning China
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Perspectives in machine learning for wildlife conservation.

Nature communications Feb 9, 2022
Inexpensive and accessible sensors are accelerating data acquisition in animal ecology. These technologies hold great potential for large-scale ecological understanding, but are limited by current processing approaches which inefficiently distill dat...
Machine Learning Animals, Wild Models, Theoretical Animals Ecosystem Conservation of Natural Resources Knowledge Ecology Automation
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Monitoring ecosystem services in the Guangdong-Hong Kong-Macao Greater Bay Area based on multi-temporal deep learning.

The Science of the total environment Feb 3, 2022
Assessment of ecosystem service supply and demand, as well as the budgets of ecosystem service supply and demand, is the basis of scientific urban planning. In the 20 years between the proposal and formation of the Guangdong-Hong Kong-Macao Greater B...
Hong Kong Macau Ecosystem Deep Learning China Conservation of Natural Resources
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Lessons from other disciplines for setting management thresholds for biodiversity conservation.

Conservation biology : the journal of the Society for Conservation Biology Jan 11, 2022
Successful, state-dependent management, in which the goal of management is to maintain a system in a desired state, involves defining the boundaries between different states. Once these boundaries have been defined, managers require a strategic actio...
Biodiversity Conservation of Natural Resources Artificial Intelligence Agriculture
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Natural language processing and network analysis provide novel insights on policy and scientific discourse around Sustainable Development Goals.

Scientific reports Nov 17, 2021
The United Nations' (UN) Sustainable Development Goals (SDGs) are heterogeneous and interdependent, comprising 169 targets and 231 indicators of sustainable development in such diverse areas as health, the environment, and human rights. Existing effo...
Goals Sustainable Development Humans COVID-19 Conservation of Natural Resources United Nations Human Rights Public Policy Global Health SARS-CoV-2 Natural Language Processing
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Deep neural networks based automated extraction of dugong feeding trails from UAV images in the intertidal seagrass beds.

PloS one Aug 13, 2021
Dugongs (Dugong dugon) are seagrass specialists distributed in shallow coastal waters in tropical and subtropical seas. The area and distribution of the dugongs' feeding trails, which are unvegetated winding tracks left after feeding, have been used ...
Remote Sensing Technology Ecosystem Neural Networks, Computer Feeding Behavior Conservation of Natural Resources Animals Image Processing, Computer-Assisted Dugong
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Leveraging social media and deep learning to detect rare megafauna in video surveys.

Conservation biology : the journal of the Society for Conservation Biology Aug 6, 2021
Deep learning has become a key tool for the automated monitoring of animal populations with video surveys. However, obtaining large numbers of images to train such models is a major challenge for rare and elusive species because field video surveys p...
Animals Deep Learning Humans Neural Networks, Computer Social Media Conservation of Natural Resources
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