AIMC Topic: Temperature
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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...
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...
Deep Learning Approaches for Predicting the Surface Tension of Ionic Liquids.
Journal of chemical information and modeling
Jun 6, 2025
Ionic liquids (ILs) are a novel class of solvents that have attracted significant attention due to their unique and tunable properties. Among their physiochemical characteristics, surface tension plays a critical role in various industrial applicatio...
Predicting mass transfer activation energy and physicochemical properties of dried onion using numerical modeling and artificial intelligence.
Scientific reports
Jun 3, 2025
The quality of the onion slices was statistically evaluated based on the variables of drying conditions, considering the following characteristics: drying time, color, shrinkage, water activity, and rehydration ratio, critical parameters in evaluatin...
Uncertainty Quantification and Temperature Scaling Calibration for Protein-RNA Binding Site Prediction.
Journal of chemical information and modeling
Jun 2, 2025
The black-box nature of deep learning has increasingly drawn attention to the reliability and uncertainty of predictive models. Currently, several uncertainty quantification (UQ) methods have been proposed and successfully applied in the fields of mo...
Engineering transverse cell deformation of bamboo by controlling localized moisture content.
Nature communications
May 1, 2025
Bamboo's native structure, defined by the vertical growth pattern of its vascular bundles and parenchyma cell tissue, limits its application in advanced engineering materials. Here we show an innovative method that controls localized moisture content...
Computational intelligence modeling and optimization of small molecule API solubility in supercritical solvent for production of drug nanoparticles.
Scientific reports
Apr 28, 2025
Artificial Intelligence (AI) is applied in this research for the analysis of a novel green method for production of nanomedicine. The method is based on supercritical solvent for production of drug nanoparticles in which the AI was used to estimate t...
Data-driven insights for enhanced cellulose conversion to 5-hydroxymethylfurfural using machine learning.
Bioresource technology
Apr 23, 2025
Converting cellulose into 5-Hydroxymethylfurfural (HMF) provides a promising strategy for creating bio-based chemicals, offering sustainable alternatives to petroleum-based materials in polymers, biofuels, and pharmaceuticals. However, the efficient ...
Neural network conditioned to produce thermophilic protein sequences can increase thermal stability.
Scientific reports
Apr 23, 2025
This work presents Neural Optimization for Melting-temperature Enabled by Leveraging Translation (NOMELT), a novel approach for designing and ranking high-temperature stable proteins using neural machine translation. The model, trained on over 4 mill...
A measurement-based framework integrating machine learning and morphological dynamics for outdoor thermal regulation.
International journal of biometeorology
Apr 21, 2025
This study presents a comprehensive investigation into the interplay between machine learning (ML) models, morphological features, and outdoor thermal comfort (OTC) across three key indices: Universal Thermal Climate Index (UTCI), Physiological Equiv...
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