AIMC Topic: Water

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Prediction of Moisture Content for Congou Black Tea Withering Leaves Using Image Features and Nonlinear Method.

Scientific reports May 18, 2018
Withering is the first step in the processing of congou black tea. With respect to the deficiency of traditional water content detection methods, a machine vision based NDT (Non Destructive Testing) method was established to detect the moisture conte...
Water Support Vector Machine Plant Leaves Color Camellia sinensis Tea Least-Squares Analysis
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Reliable and Performant Identification of Low-Energy Conformers in the Gas Phase and Water.

Journal of chemical information and modeling May 16, 2018
Prediction of compound properties from structure via quantitative structure-activity relationship and machine-learning approaches is an important computational chemistry task in small-molecule drug research. Though many such properties are dependent ...
Machine Learning Drug Discovery Quantitative Structure-Activity Relationship Gases Pharmaceutical Preparations Water Thermodynamics Informatics Solvents Models, Molecular Molecular Conformation
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Locomotion of arthropods in aquatic environment and their applications in robotics.

Bioinspiration & biomimetics May 8, 2018
Many bio-inspired robots have been developed so far after careful investigation of animals' locomotion. To successfully apply the locomotion of natural counterparts to robots for efficient and improved mobility, it is essential to understand their pr...
Locomotion Computer Simulation Models, Biological Wings, Animal Animals Arthropods Aquatic Organisms Biomimetics Surface Properties Swimming Biomimetic Materials Water Robotics Equipment Design
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Moisture Damage Modeling in Lime and Chemically Modified Asphalt at Nanolevel Using Ensemble Computational Intelligence.

Computational intelligence and neuroscience Apr 18, 2018
This paper measures the adhesion/cohesion force among asphalt molecules at nanoscale level using an Atomic Force Microscopy (AFM) and models the moisture damage by applying state-of-the-art Computational Intelligence (CI) techniques (e.g., artificial...
Microscopy, Atomic Force Regression Analysis Mechanical Phenomena Artificial Intelligence Oxides Hydrocarbons Water Signal Processing, Computer-Assisted Calcium Compounds
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TopP-S: Persistent homology-based multi-task deep neural networks for simultaneous predictions of partition coefficient and aqueous solubility.

Journal of computational chemistry Apr 6, 2018
Aqueous solubility and partition coefficient are important physical properties of small molecules. Accurate theoretical prediction of aqueous solubility and partition coefficient plays an important role in drug design and discovery. The prediction ac...
Water Molecular Dynamics Simulation Solubility Neural Networks, Computer Software Algorithms
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Deep Learning Methods for Underwater Target Feature Extraction and Recognition.

Computational intelligence and neuroscience Mar 27, 2018
The classification and recognition technology of underwater acoustic signal were always an important research content in the field of underwater acoustic signal processing. Currently, wavelet transform, Hilbert-Huang transform, and Mel frequency ceps...
Pattern Recognition, Automated Water Signal Processing, Computer-Assisted Acoustics Neural Networks, Computer Machine Learning
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Switching PD-based sliding mode control for hovering of a tilting-thruster underwater robot.

PloS one Mar 16, 2018
This paper presents a switching PD-based sliding mode control (PD-SMC) method for the 6-degree-of-freedom (DOF) hovering motion of the underwater robot with tilting thrusters. Four thrusters of robot can be tilted simultaneously in the horizontal and...
Algorithms Computer Simulation Robotics Water Motion Time Factors Hydrodynamics Models, Theoretical
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Discussion on Regression Methods Based on Ensemble Learning and Applicability Domains of Linear Submodels.

Journal of chemical information and modeling Feb 15, 2018
To develop a new ensemble learning method and construct highly predictive regression models in chemoinformatics and chemometrics, applicability domains (ADs) are introduced into the ensemble learning process of prediction. When estimating values of a...
Machine Learning Solubility Water Quantitative Structure-Activity Relationship Algorithms Learning Regression Analysis Models, Molecular
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Statistical moments in modelling of swelling, erosion and drug release of hydrophilic matrix-tablets.

International journal of pharmaceutics Feb 1, 2018
Statistical moments were evaluated as suitable parameters for describing swelling and erosion processes (along with drug release) in hydrophilic controlled release matrix tablets. The effect of four independent formulation variables, corresponding to...
Technology, Pharmaceutical Delayed-Action Preparations Nimodipine Hydrophobic and Hydrophilic Interactions Drug Compounding Linear Models Solubility Drug Liberation Water Models, Statistical Drug Carriers Polymers Kinetics Tablets Neural Networks, Computer
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Modelling the water-plant cuticular polymer matrix membrane partitioning of diverse chemicals in multiple plant species using the support vector machine-based QSAR approach.

SAR and QSAR in environmental research Jan 18, 2018
In this study, a support vector machine (SVM) based multi-species QSAR (quantitative structure-activity relationship) model was developed for predicting the water-plant cuticular polymer matrix membrane (MX) partition coefficient, K of diverse chemic...
Solanum lycopersicum Quantitative Structure-Activity Relationship Plant Stomata Models, Molecular Polymers Environmental Pollutants Water Support Vector Machine
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