AIMC Topic: Ecosystem

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PoachNet: Predicting Poaching Using an Ontology-Based Knowledge Graph.

Sensors (Basel, Switzerland) Dec 20, 2024
Poaching poses a significant threat to wildlife and their habitats, necessitating advanced tools for its prediction and prevention. Existing tools for poaching prediction face challenges such as inconsistent poaching data, spatiotemporal complexity, ...
Ecosystem Geographic Information Systems Deep Learning Conservation of Natural Resources Algorithms Animals Neural Networks, Computer Elephants Semantic Web
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Balanced hydropower and ecological benefits in reservoir-river-lake system: An integrated framework with machine learning and game theory.

Journal of environmental management Dec 17, 2024
The negative impacts of large hydroelectric reservoirs on downstream ecosystems have attracted worldwide attention. Few attempts have been made to dynamically predict ecological benefits and rationally negotiation in the reservoir-river-lake (RRL) sy...
Lakes Rivers Game Theory Machine Learning Ecosystem
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Habitat Suitability Modelling for the Red Dwarf Honeybee (Apis florea (Linnaeus)) and Its Distribution Prediction Using Machine Learning and Cloud Computing.

Neotropical entomology Dec 17, 2024
Apis florea bees were recently identified in Egypt, marking the second occurrence of this species on the African continent. The objective of this study was to track the distribution of A. florea in Egypt and evaluate its potential for invasive behavi...
Bees Animal Distribution Ecosystem Egypt Temperature Animals Machine Learning
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Utilizing InVEST ecosystem services model combined with deep learning and fallback bargaining for effective sediment retention in Northern Iran.

Environmental science and pollution research international Dec 14, 2024
This study aimed to integrate game theory and deep learning algorithms with the InVEST Ecosystem Services Model (IESM) for Sediment Retention (SR) modeling in the Kasilian watershed, Iran. The Kasilian watershed is characterized by multiple sub-water...
Iran Geologic Sediments Deep Learning Models, Theoretical Algorithms Ecosystem
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Reproductive performance of Channa striata in wetland ecosystems: a fuzzy logic approach to water quality and eco-climatic factors for long-term sustainable management and aquaculture advancement.

Environmental science and pollution research international Dec 10, 2024
The striped snakehead, Channa striata, is commercially and nutritionally important due to its medicinal properties, such as wound healing and antimicrobial abilities. This study investigated the reproductive biology of C. striata in relation to hydro...
Fuzzy Logic Aquaculture Animals Ecosystem Wetlands Fishes Reproduction Water Quality Bangladesh
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Unsupervised learning for lake underwater vegetation classification: Constructing high-precision, large-scale aquatic ecological datasets.

The Science of the total environment Dec 7, 2024
Monitoring underwater vegetation is vital for evaluating lake ecosystem health. Automated data collection and analysis play key roles in achieving large-scale, high-precision, and high-frequency monitoring. While technologies such as unmanned vessels...
Unsupervised Machine Learning Plants Ecosystem Lakes Environmental Monitoring
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Are more data always better? - Machine learning forecasting of algae based on long-term observations.

Journal of environmental management Dec 2, 2024
Bloom-forming algae present a unique challenge to water managers as they can significantly impair provision of important ecosystem services and cause health risks to humans and animals. Consequently, effective short-term algae forecasts are important...
Machine Learning Forecasting Lakes Environmental Monitoring Chlorophyll Ecosystem Eutrophication
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Gross primary productivity estimation through remote sensing and machine learning techniques in the high Andean Region of Ecuador.

International journal of biometeorology Nov 27, 2024
Accurately estimating gross primary productivity (GPP) is crucial for simulating the carbon cycle and addressing the challenges of climate change. However, estimating GPP is challenging due to the absence of direct measurements at scales larger than ...
Ecuador Machine Learning Seasons Ecosystem Climate Change Remote Sensing Technology
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Deep learning-based image classification of sea turtles using object detection and instance segmentation models.

PloS one Nov 25, 2024
Sea turtles exhibit high migratory rates and occupy a broad range of habitats, which in turn makes monitoring these taxa challenging. Applying deep learning (DL) models to vast image datasets collected from citizen science programs can offer promisin...
Turtles Animals Ecosystem Deep Learning Image Processing, Computer-Assisted
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Habitat selection ecology of the aquatic beetle community using explainable machine learning.

Scientific reports Nov 21, 2024
The aim of our work is to determine the importance of habitat features for the selection of the aquatic beetle community. Insects are represented by their general ecological traits such as body size, ecological element and trophic type, which are cat...
Machine Learning Lakes Body Size Coleoptera Animals Ecosystem
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