AIMC Topic: Computer Simulation

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Predictive Model of Linear Antimicrobial Peptides Active against Gram-Negative Bacteria.

Journal of chemical information and modeling May 11, 2018
Antimicrobial peptides (AMPs) have been identified as a potential new class of anti-infectives for drug development. There are a lot of computational methods that try to predict AMPs. Most of them can only predict if a peptide will show any antimicro...
Models, Theoretical Cluster Analysis Antimicrobial Cationic Peptides Gram-Negative Bacteria Machine Learning Computer Simulation
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Adaptive Neural Control of Pure-Feedback Nonlinear Systems With Event-Triggered Communications.

IEEE transactions on neural networks and learning systems May 10, 2018
This paper is concerned with the adaptive event-triggered control problem for a class of pure-feedback nonlinear systems. Unlike the existing results where the control execution is periodic, the new proposed scheme updates the controller and the neur...
Models, Neurological Nonlinear Dynamics Computer Simulation Feedback Communication Humans Neural Networks, Computer Algorithms
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Advancing Predictive Hepatotoxicity at the Intersection of Experimental, in Silico, and Artificial Intelligence Technologies.

Chemical research in toxicology May 10, 2018
Adverse drug reactions, particularly those that result in drug-induced liver injury (DILI), are a major cause of drug failure in clinical trials and drug withdrawals. Hepatotoxicity-mediated drug attrition occurs despite substantial investments of ti...
Animals Deep Learning Liver Humans Computer Simulation Chemical and Drug Induced Liver Injury Models, Biological Drug-Related Side Effects and Adverse Reactions Toxicology
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Using Bayesian dynamical systems, model averaging and neural networks to determine interactions between socio-economic indicators.

PloS one May 9, 2018
Social and economic systems produce complex and nonlinear relationships in the indicator variables that describe them. We present a Bayesian methodology to analyze the dynamical relationships between indicator variables by identifying the nonlinear f...
Neural Networks, Computer Linear Models Socioeconomic Factors Computer Simulation Democracy Models, Statistical Bayes Theorem
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Machine learning and evidence-based training in technical skills.

British journal of anaesthesia May 8, 2018
Clinical Competence Nerve Block Robotics Humans Machine Learning Computer Simulation Ultrasonography, Interventional Evidence-Based Medicine Therapy, Computer-Assisted
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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...
Models, Biological Aquatic Organisms Biomimetics Water Robotics Equipment Design Locomotion Wings, Animal Computer Simulation Arthropods Animals Surface Properties Swimming Biomimetic Materials
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Deep generative learning for automated EHR diagnosis of traditional Chinese medicine.

Computer methods and programs in biomedicine May 4, 2018
BACKGROUND: Computer-aided medical decision-making (CAMDM) is the method to utilize massive EMR data as both empirical and evidence support for the decision procedure of healthcare activities. Well-developed information infrastructure, such as hospit...
Medicine, Chinese Traditional Models, Statistical Bayes Theorem Clinical Decision-Making Deep Learning Support Vector Machine Information Storage and Retrieval Humans Algorithms Computer Simulation Electronic Health Records
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An improved advertising CTR prediction approach based on the fuzzy deep neural network.

PloS one May 4, 2018
Combining a deep neural network with fuzzy theory, this paper proposes an advertising click-through rate (CTR) prediction approach based on a fuzzy deep neural network (FDNN). In this approach, fuzzy Gaussian-Bernoulli restricted Boltzmann machine (F...
Humans Fuzzy Logic Neural Networks, Computer Advertising Algorithms Computer Simulation
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Deep D-Bar: Real-Time Electrical Impedance Tomography Imaging With Deep Neural Networks.

IEEE transactions on medical imaging Apr 27, 2018
The mathematical problem for electrical impedance tomography (EIT) is a highly nonlinear ill-posed inverse problem requiring carefully designed reconstruction procedures to ensure reliable image generation. D-bar methods are based on a rigorous mathe...
Algorithms Computer Simulation Lung Deep Learning Electric Impedance Phantoms, Imaging Humans Radiography, Thoracic Fourier Analysis Tomography
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Strabismus Recognition Using Eye-Tracking Data and Convolutional Neural Networks.

Journal of healthcare engineering Apr 26, 2018
Strabismus is one of the most common vision diseases that would cause amblyopia and even permanent vision loss. Timely diagnosis is crucial for well treating strabismus. In contrast to manual diagnosis, automatic recognition can significantly reduce ...
Amblyopia Female User-Computer Interface Algorithms Middle Aged Humans Adult Strabismus Diagnosis, Computer-Assisted Databases, Factual Male Neural Networks, Computer Pattern Recognition, Automated Eye Movements Computer Simulation
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