AIMC Topic: Altitude

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Pollen morphology, deep learning, phylogenetics, and the evolution of environmental adaptations in Podocarpus.

The New phytologist Jun 3, 2025
Podocarpus pollen morphology is shaped by both phylogenetic history and the environment. We analyzed the relationship between pollen traits quantified using deep learning and environmental factors within a comparative phylogenetic framework. We inves...
Phylogeny Deep Learning Altitude Temperature Biological Evolution Pollen Fossils Adaptation, Physiological Environment
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Predictive hybrid model of a grid-connected photovoltaic system with DC-DC converters under extreme altitude conditions at 3800 meters above sea level.

PloS one May 19, 2025
This study aims to develop a predictive hybrid model for a grid-connected PV system with DC-DC optimizers, designed to operate in extreme altitude conditions at 3800 m above sea level. This approach seeks to address the "curse of dimensionality" by r...
Models, Theoretical Bayes Theorem Solar Energy Algorithms Altitude Electric Power Supplies
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Promoting active health with AI technologies: Current status and prospects of high-altitude therapy, simulated hypoxia, and LLM-driven lifestyle rehabilitation approaches.

Bioscience trends Apr 29, 2025
In the context of the rising global prevalence of obesity, traditional intervention measures have proven insufficient to meet the demands of personalized and sustainable health management, necessitating the exploration of innovative solutions through...
Health Promotion Obesity Life Style Internet of Things Humans Altitude Hypoxia Artificial Intelligence Wearable Electronic Devices
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Understanding land degradation induced by gully erosion from the perspective of different geoenvironmental factors.

Journal of environmental management Apr 29, 2022
Complex interrelationships between landscape-level geoenvironmental factors and natural phenomena have rendered land degradation control measures ineffective. For control to be effective, this study argues that the interactions between different geoe...
Altitude Machine Learning Retrospective Studies ROC Curve Bayes Theorem
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Identifying the Branch of Kiwifruit Based on Unmanned Aerial Vehicle (UAV) Images Using Deep Learning Method.

Sensors (Basel, Switzerland) Jun 29, 2021
It is important to obtain accurate information about kiwifruit vines to monitoring their physiological states and undertake precise orchard operations. However, because vines are small and cling to trellises, and have branches laying on the ground, n...
Remote Sensing Technology Fruit Altitude Machine Learning Deep Learning
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Dual-sensor fusion based attitude holding of a fin-actuated robotic fish.

Bioinspiration & biomimetics May 13, 2020
In nature, the lateral line system (LLS) is a critical sensor organ of fish for rheotaxis in complex environments. Inspired by the LLS, numbers of artificial lateral line systems (ALLSs) have been designed to the fish-like robots for flow field perce...
Animals Robotics Neural Networks, Computer Fishes Animal Fins Altitude Computer Simulation Equipment Design Signal-To-Noise Ratio Biomimetic Materials
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Artificial intelligence reveals environmental constraints on colour diversity in insects.

Nature communications Oct 7, 2019
Explaining colour variation among animals at broad geographic scales remains challenging. Here we demonstrate how deep learning-a form of artificial intelligence-can reveal subtle but robust patterns of colour feature variation along an ecological gr...
Skin Pigmentation Moths Deep Learning Color Biodiversity Animals Artificial Intelligence Climate Genetic Variation Phylogeny Temperature Altitude Insecta Species Specificity
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Comparison of mixing layer height inversion algorithms using lidar and a pollution case study in Baoding, China.

Journal of environmental sciences (China) Nov 15, 2018
Beijing-Tianjin-Hebei area is suffering from atmospheric pollution from a long time. The understanding of the air pollution mechanism is of great importance for officials to design strategies for the environmental governance. Mixing layer height (MLH...
Altitude Air Pollution Algorithms Environmental Monitoring China Remote Sensing Technology Air Movements
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[Multi-factor Impact Analysis of Grassland Phenology Changes on the Qinghai-Xizang Plateau Based on Interpretable Machine Learning].

Huan jing ke xue= Huanjing kexue Jun 8, 2024
The vegetation phenology of the Qinghai-Xizang Plateau is changing significantly in the context of climate change. However, there are many hydrothermal factors affecting the phenology, and few studies have focused on the effects of multiple factors o...
Climate Change Altitude Grassland Seasons Poaceae Rain Temperature Soil Environmental Monitoring Remote Sensing Technology China Machine Learning
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