AIMC Topic: Computer Simulation

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Speech emotion recognition based on brain and mind emotional learning model.

Journal of integrative neuroscience Jan 1, 2018
Speech emotion recognition is a challenging obstacle to enabling communication between humans and machines. The present study introduces a new model of speech emotion recognition based on the relationship between the human brain and mind. According t...
Brain Computer Simulation Learning Emotions Models, Neurological Memory, Short-Term Pattern Recognition, Physiological Pattern Recognition, Automated Memory, Long-Term Humans Models, Psychological Neural Networks, Computer Speech Perception Machine Learning
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Machine Learning Methods in Computational Toxicology.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2018
Various methods of machine learning, supervised and unsupervised, linear and nonlinear, classification and regression, in combination with various types of molecular descriptors, both "handcrafted" and "data-driven," are considered in the context of ...
Toxicology Quantitative Structure-Activity Relationship Machine Learning Algorithms Computer Simulation Deep Learning Support Vector Machine Linear Models Neural Networks, Computer
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Haptic Feedback for Control and Active Constraints in Contactless Laser Surgery: Concept, Implementation, and Evaluation.

IEEE transactions on haptics Jan 1, 2018
Haptics has proven to be highly beneficial in surgical robotics, bringing enhanced safety and precision by complementing the surgeon's visual channel. However, most of the research body in this context is dedicated to applications involving tradition...
Computer Simulation User-Computer Interface Touch Perception Robotics Microsurgery Laser Therapy Feedback, Sensory Humans
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Breast cancer tumor type recognition using graph feature selection technique and radial basis function neural network with optimal structure.

Journal of cancer research and therapeutics Jan 1, 2018
CONTEXT: Breast cancer is a major cause of mortality in young women in the developing countries. Early diagnosis is the key to improve survival rate in cancer patients.
Algorithms Databases, Factual Computer Simulation Humans Neural Networks, Computer Diagnosis, Computer-Assisted Prognosis Models, Statistical Female Pattern Recognition, Automated Breast Neoplasms
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Numerical Models and In Vitro Assays to Study Odorant Receptors.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2018
Unraveling the sense of smell relies on understanding how odorant receptors recognize odorant molecules. Given the vastness of the odorant chemical space and the complexity of the odorant receptor space, computational methods are in line to propose r...
Molecular Docking Simulation Mutation Receptors, Odorant Machine Learning Computer Simulation Animals Humans
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A deep learning approach to estimate stress distribution: a fast and accurate surrogate of finite-element analysis.

Journal of the Royal Society, Interface Jan 1, 2018
Structural finite-element analysis (FEA) has been widely used to study the biomechanics of human tissues and organs, as well as tissue-medical device interactions, and treatment strategies. However, patient-specific FEA models usually require complex...
Models, Cardiovascular Stress, Mechanical Aorta Finite Element Analysis Humans Computer Simulation Deep Learning
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A heuristic method for simulating open-data of arbitrary complexity that can be used to compare and evaluate machine learning methods.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing Jan 1, 2018
A central challenge of developing and evaluating artificial intelligence and machine learning methods for regression and classification is access to data that illuminates the strengths and weaknesses of different methods. Open data plays an important...
Humans Artificial Intelligence Computer Simulation Genetic Association Studies Computational Biology Machine Learning Software Algorithms Heuristics Stochastic Processes Systems Biology Models, Genetic Databases, Genetic
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Competitive Spiking Neural P Systems With Rules on Synapses.

IEEE transactions on nanobioscience Dec 1, 2017
This paper proposes an extension of spiking neural P systems with rules on synapses (SNP-RS systems) working in competitive strategy, called competitive SNP-RS (CSNP-RS systems). In CSNP-RS systems, the spikes are viewed as a kind of competitive reso...
Action Potentials Neural Networks, Computer Computer Simulation Synapses Models, Neurological Computers, Molecular
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CAPi: Computational Model for Apicoplast Inhibitors Prediction Against Plasmodium Parasite.

Current computer-aided drug design Nov 10, 2017
BACKGROUND: Discovery of apicoplast as a drug target offers a new direction in the development of novel anti-malarial compounds, especially against the drug-resistant strains. Drugs such as azithromycin were reported to block the apicoplast developme...
Malaria Algorithms Humans High-Throughput Screening Assays Databases, Pharmaceutical Machine Learning Models, Biological Computer Simulation Plasmodium Software Antimalarials Drug Discovery
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A Rotational Motion Perception Neural Network Based on Asymmetric Spatiotemporal Visual Information Processing.

IEEE transactions on neural networks and learning systems Nov 1, 2017
All complex motion patterns can be decomposed into several elements, including translation, expansion/contraction, and rotational motion. In biological vision systems, scientists have found that specific types of visual neurons have specific preferen...
Animals Models, Neurological Electronic Data Processing Humans Neural Networks, Computer Computer Simulation Photic Stimulation Visual Perception Motion Perception
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