AIMC Topic: Temperature

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Interpretable deep learning method to quantify the impact of extreme temperatures on vegetation productivity in China.

Scientific reports Aug 20, 2025
As a key ecological parameter, NPP measures the photosynthetic efficiency of plants in capturing atmospheric carbon. With the warming of the climate, extreme temperature events are frequent, which has exerted a profound influence on NPP. Previous stu...
Climate Change Temperature Neural Networks, Computer Plant Development Ecosystem China Photosynthesis Deep Learning Plants
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Development of several machine learning based models for determination of small molecule pharmaceutical solubility in binary solvents at different temperatures.

Scientific reports Aug 7, 2025
Analysis of small-molecule drug solubility in binary solvents at different temperatures was carried out via several machine learning models and integration of models to optimize. We investigated the solubility of rivaroxaban in both dichloromethane a...
Machine Learning Algorithms Temperature Neural Networks, Computer Solvents Rivaroxaban Bayes Theorem Solubility
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Study on the effect of light distribution on the greenhouse environment in Chinese solar greenhouse.

PloS one Aug 7, 2025
Solar greenhouse is a primary agricultural facility in northern China during winter, providing a certain level of security for the demand for vegetables and melons in the northern regions. However, there remains a lack of uniformity between crop requ...
Sunlight Soil China Temperature Light Crops, Agricultural Agriculture
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Advanced spatiotemporal downscaling of MODIS land surface temperature: utilizing Sentinel-1 and Sentinel-2 data with machine learning technique in Qazvin Province, Iran.

Environmental monitoring and assessment Jul 23, 2025
This study presents a spatiotemporal downscaling framework for MODIS land surface temperature (LST) using Sentinel-1 and Sentinel-2 data with machine learning techniques on the Google Earth Engine (GEE) platform. Random Forest regression was applied ...
Remote Sensing Technology Seasons Iran Temperature Environmental Monitoring Satellite Imagery Machine Learning
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Modeling impacts of climate-induced yield variability and adaptations on wheat and maize in a sub-tropical monsoon climate - using fuzzy logic.

Scientific reports Jul 16, 2025
Climate change is causing more frequent and extraordinary extreme weather events that are already negatively affecting crop production. There is a need for improved climate risk assessment by developing smart adaptation strategies for sustainable fut...
Crops, Agricultural Bangladesh Rain Adaptation, Physiological Seasons Climate Change Zea mays Triticum Models, Theoretical Fuzzy Logic Temperature
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Temperature-Dependent Small-Molecule Solubility Prediction Using MoE-Enhanced Directed Message Passing Neural Networks.

Journal of chemical information and modeling Jul 10, 2025
Solubility prediction is crucial for drug development and materials science, yet existing models struggle with generalizability across diverse solvents and temperatures. This study develops a novel solubility prediction model, DMPNN-MoE, which integr...
Solvents Small Molecule Libraries Algorithms Temperature Solubility Neural Networks, Computer
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Tecomella undulata under threat: The impact of climate change on the distribution of a valuable tree species using a machine learning model.

PloS one Jul 9, 2025
Climate change has emerged as a significant driver of biodiversity loss, with profound implications for species distribution. This study assessed the current and future distribution of Tecomella undulata (Desert teak), an economically and medicinally...
Biodiversity Seasons Iran Climate Change Trees Temperature Ecosystem Machine Learning Conservation of Natural Resources
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Real-Time Gas Identification at Room Temperature Using UV-Modulated Sb-Doped SnO Sensors via Machine Learning.

ACS sensors Jul 2, 2025
This study presents a novel approach for real-time gas identification at room temperature. We use UV-modulated Sb-doped SnO sensors combined with machine learning. Our method exclusively employs the gas response () as the sole metric. This eliminates...
Machine Learning Nitrogen Dioxide Temperature Tin Compounds Ultraviolet Rays Gases Ammonia Hydrogen
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Environmental drivers of calling activity in the critically endangered lemur leaf frog, (Hylidae: Phyllomedusinae).

Philosophical transactions of the Royal Society of London. Series B, Biological sciences Jun 12, 2025
Tropical frog species are known to exhibit high sensitivity to weather regime alterations, which leaves them vulnerable to ongoing climate change. This challenge is exacerbated by limited knowledge of species-specific responses to environmental chang...
Anura Temperature Animals Endangered Species Humidity Climate Change Vocalization, Animal
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Prediction of air temperature and humidity in greenhouses via artificial neural network.

PloS one Jun 9, 2025
Accurate prediction of greenhouse temperature and relative humidity is critical for developing environmental control systems. Effective regulation strategies can help improve crop yields while reducing energy consumption. In this study, Multilayer Pe...
Humidity Soil Neural Networks, Computer Bayes Theorem Temperature
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