AIMC Topic:
Models, Theoretical

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A method to predict different mechanisms for blood-brain barrier permeability of CNS activity compounds in Chinese herbs using support vector machine.

Journal of bioinformatics and computational biology Oct 27, 2015
The blood-brain barrier (BBB), a highly selective barrier between central nervous system (CNS) and the blood stream, restricts and regulates the penetration of compounds from the blood into the brain. Drugs that affect the CNS interact with the BBB p...
Medicine, Chinese Traditional ATP Binding Cassette Transporter, Subfamily B, Member 1 Drug Evaluation, Preclinical Humans Central Nervous System Agents Blood-Brain Barrier Permeability Models, Theoretical Plants, Medicinal Support Vector Machine Algorithms Molecular Targeted Therapy Reproducibility of Results
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Modelling real disease dynamics with behaviourally adaptive complex networks: Comment on "Coupled disease-behavior dynamics on complex networks: A review" by Z. Wang et al.

Physics of life reviews Oct 22, 2015
Computer Simulation Models, Theoretical Models, Biological Humans Nonlinear Dynamics Neural Networks, Computer Algorithms Disease
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Development of sediment load estimation models by using artificial neural networking techniques.

Environmental monitoring and assessment Oct 13, 2015
This study aims at the development of an artificial neural network-based model for the estimation of weekly sediment load at a catchment located in northern part of Pakistan. The adopted methodology has been based upon antecedent sediment conditions,...
Geologic Sediments Algorithms Models, Theoretical Environmental Monitoring Environmental Pollutants Neural Networks, Computer Pakistan Linear Models
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Predicting Drug-Target Interactions via Within-Score and Between-Score.

BioMed research international Oct 12, 2015
Network inference and local classification models have been shown to be useful in predicting newly potential drug-target interactions (DTIs) for assisting in drug discovery or drug repositioning. The idea is to represent drugs, targets, and their int...
Drug Industry Drug Repositioning Drug Discovery Algorithms Principal Component Analysis Models, Theoretical Humans Reproducibility of Results Artificial Intelligence Data Interpretation, Statistical Drug Delivery Systems
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Verifying the performance of artificial neural network and multiple linear regression in predicting the mean seasonal municipal solid waste generation rate: A case study of Fars province, Iran.

Waste management (New York, N.Y.) Oct 9, 2015
Predicting the mass of solid waste generation plays an important role in integrated solid waste management plans. In this study, the performance of two predictive models, Artificial Neural Network (ANN) and Multiple Linear Regression (MLR) was verifi...
Solid Waste Waste Management Seasons Iran Multivariate Analysis Models, Theoretical Regression Analysis Neural Networks, Computer
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A Fast Incremental Gaussian Mixture Model.

PloS one Oct 7, 2015
This work builds upon previous efforts in online incremental learning, namely the Incremental Gaussian Mixture Network (IGMN). The IGMN is capable of learning from data streams in a single-pass by improving its model after analyzing each data point a...
Algorithms Models, Theoretical Normal Distribution Machine Learning
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Prediction of blast-induced air overpressure: a hybrid AI-based predictive model.

Environmental monitoring and assessment Oct 4, 2015
Blast operations in the vicinity of residential areas usually produce significant environmental problems which may cause severe damage to the nearby areas. Blast-induced air overpressure (AOp) is one of the most important environmental impacts of bla...
Environmental Monitoring Malaysia Explosions Neural Networks, Computer Algorithms Models, Theoretical
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Information extraction from multi-institutional radiology reports.

Artificial intelligence in medicine Oct 3, 2015
OBJECTIVES: The radiology report is the most important source of clinical imaging information. It documents critical information about the patient's health and the radiologist's interpretation of medical findings. It also communicates information to ...
United States Models, Theoretical Predictive Value of Tests Electronic Health Records Reproducibility of Results Data Mining Observer Variation Information Storage and Retrieval Natural Language Processing Discriminant Analysis Radiographic Image Interpretation, Computer-Assisted Humans Machine Learning Databases, Factual Radiology Information Systems Semantics Medical Record Linkage Pattern Recognition, Automated
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Hierarchical Model Predictive Image-Based Visual Servoing of Underwater Vehicles With Adaptive Neural Network Dynamic Control.

IEEE transactions on cybernetics Oct 2, 2015
This paper proposes a hierarchical image-based visual servoing (IBVS) strategy for dynamic positioning of a fully actuated underwater vehicle. In the kinematic loop, the desired velocity is generated by a nonlinear model predictive controller, which ...
Image Processing, Computer-Assisted Models, Theoretical Ships Neural Networks, Computer
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Harmony Search Algorithm for Word Sense Disambiguation.

PloS one Sep 30, 2015
Word Sense Disambiguation (WSD) is the task of determining which sense of an ambiguous word (word with multiple meanings) is chosen in a particular use of that word, by considering its context. A sentence is considered ambiguous if it contains ambigu...
Models, Theoretical Natural Language Processing Humans Algorithms Language
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