AIMC Topic: Temperature
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Unsupervised word embeddings capture latent knowledge from materials science literature.
Nature
Jul 3, 2019
The overwhelming majority of scientific knowledge is published as text, which is difficult to analyse by either traditional statistical analysis or modern machine learning methods. By contrast, the main source of machine-interpretable data for the ma...
Optimization and control of the light environment for greenhouse crop production.
Scientific reports
Jun 17, 2019
Optimization and control of the greenhouse light environment is key to increasing crop yield and quality. However, the light saturation point impacts the efficient use of light. Therefore, the dynamic acquisition of the light saturation point that is...
Machine Learning Applied to Predicting Microorganism Growth Temperatures and Enzyme Catalytic Optima.
ACS synthetic biology
Jun 7, 2019
Enzymes that catalyze chemical reactions at high temperatures are used for industrial biocatalysis, applications in molecular biology, and as highly evolvable starting points for protein engineering. The optimal growth temperature (OGT) of organisms ...
Exploring the relationship between the speed-resolved perfusion of blood flux and HRV following different thermal stimulations using MSE and MFE analyses.
PloS one
Jun 5, 2019
Our previous study employed the classic laser Doppler flux (LDF) to explore the complexity of local blood flow signals and their relationship with heart rate variability (HRV). However, microcirculation blood flow is composed of different velocity co...
Comparison of neuron-based, kernel-based, tree-based and curve-based machine learning models for predicting daily reference evapotranspiration.
PloS one
May 31, 2019
Accurately predicting reference evapotranspiration (ET0) with limited climatic data is crucial for irrigation scheduling design and agricultural water management. This study evaluated eight machine learning models in four categories, i.e. neuron-base...
Climate data clustering effects on arid and semi-arid rainfed wheat yield: a comparison of artificial intelligence and K-means approaches.
International journal of biometeorology
May 22, 2019
Clustering algorithms are critical data mining techniques used to analyze a wide range of data. This study compares the utility of ant colony optimization (ACO), genetic algorithm (GA), and K-means methods to cluster climatic variables affecting the ...
Research on soil moisture prediction model based on deep learning.
PloS one
Apr 3, 2019
Soil moisture is one of the main factors in agricultural production and hydrological cycles, and its precise prediction is important for the rational use and management of water resources. However, soil moisture involves complex structural characteri...
Determining gradient conditions for peptide purification in RPLC with machine-learning-based retention time predictions.
Journal of chromatography. A
Mar 29, 2019
A strategy for determining a suitable solvent gradient in silico in preparative peptide separations is presented. The strategy utilizes a machine-learning-based method, called ELUDE, for peptide retention time predictions based on the amino acid sequ...
E-Skin Bimodal Sensors for Robotics and Prosthesis Using PDMS Molds Engraved by Laser.
Sensors (Basel, Switzerland)
Feb 21, 2019
Electronic skin (e-skin) is pursued as a key component in robotics and prosthesis to confer them sensing properties that mimic human skin. For pressure monitoring, a great emphasis on piezoresistive sensors was registered due to the simplicity of sen...
Evaluation of data-driven models for predicting the service life of concrete sewer pipes subjected to corrosion.
Journal of environmental management
Jan 11, 2019
Concrete corrosion is one of the most significant failure mechanisms of sewer pipes, and can reduce the sewer service life significantly. To facilitate the management and maintenance of sewers, it is essential to obtain reliable prediction of the exp...
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