AIMC Topic:
Computer Simulation

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DeepCME: A deep learning framework for computing solution statistics of the chemical master equation.

PLoS computational biology Dec 8, 2021
Stochastic models of biomolecular reaction networks are commonly employed in systems and synthetic biology to study the effects of stochastic fluctuations emanating from reactions involving species with low copy-numbers. For such models, the Kolmogor...
Stochastic Processes Probability Statistics as Topic Computer Simulation Deep Learning Computational Biology Models, Chemical
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Tinnitus-like "hallucinations" elicited by sensory deprivation in an entropy maximization recurrent neural network.

PLoS computational biology Dec 8, 2021
Sensory deprivation has long been known to cause hallucinations or "phantom" sensations, the most common of which is tinnitus induced by hearing loss, affecting 10-20% of the population. An observable hearing loss, causing auditory sensory deprivatio...
Hallucinations Auditory Perception Sensory Deprivation Entropy Information Theory Algorithms Computer Simulation Tinnitus Cochlear Nucleus Neuronal Plasticity Humans Neural Networks, Computer
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Categorical Matrix Completion With Active Learning for High-Throughput Screening.

IEEE/ACM transactions on computational biology and bioinformatics Dec 8, 2021
The recent advances in wet-lab automation enable high-throughput experiments to be conducted seamlessly. In particular, the exhaustive enumeration of all possible conditions is always involved in high-throughput screening. Nonetheless, such a screeni...
Algorithms Computer Simulation Supervised Machine Learning Computational Biology High-Throughput Screening Assays Proteins
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NegStacking: Drug-Target Interaction Prediction Based on Ensemble Learning and Logistic Regression.

IEEE/ACM transactions on computational biology and bioinformatics Dec 8, 2021
Drug-target interactions (DTIs) identification is an important issue of drug research, and many methods proposed to predict potential DTIs based on machine learning treat it as a binary classification problem. However, the number of known interacting...
Logistic Models Drug Development Computer Simulation Computational Biology Machine Learning
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Application of Artificial Intelligence in Medicine: An Overview.

Current medical science Dec 6, 2021
Artificial intelligence (AI) is a new technical discipline that uses computer technology to research and develop the theory, method, technique, and application system for the simulation, extension, and expansion of human intelligence. With the assist...
Medicine Technology Computer Simulation Humans Artificial Intelligence
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Research on the Path of Network Opinion Expression in AI Environment for College Students.

Computational and mathematical methods in medicine Dec 6, 2021
Network interaction has evolved into a grouping paradigm as civilization has progressed and artificial intelligence technology has advanced. This network group model has quickly extended communication space, improved communication content, and tailor...
Attitude Humans Students Computer Simulation Online Social Networking Internet Computational Biology Artificial Intelligence Communication Algorithms
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BreaCNet: A high-accuracy breast thermogram classifier based on mobile convolutional neural network.

Mathematical biosciences and engineering : MBE Dec 3, 2021
The presence of a well-trained, mobile CNN model with a high accuracy rate is imperative to build a mobile-based early breast cancer detector. In this study, we propose a mobile neural network model breast cancer mobile network (BreaCNet) and its imp...
Neural Networks, Computer Algorithms Female Breast Neoplasms Computer Simulation Humans Breast
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Increasing efficiency and accuracy of magnetic interaction calculations in colloidal simulation through machine learning.

Journal of colloid and interface science Dec 2, 2021
Calculating the magnetic interaction between magnetic particles that are positioned in close proximity to one another is a surprisingly challenging task. Exact solutions for this interaction exist either through numerical expansion of multipolar inte...
Magnetic Phenomena Machine Learning Algorithms Computer Simulation Neural Networks, Computer
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Incorporating artificial intelligence in urology: Supervised machine learning algorithms demonstrate comparative advantage over nomograms in predicting biochemical recurrence after prostatectomy.

The Prostate Dec 2, 2021
OBJECTIVE: After radical prostatectomy (RP), one-third of patients will experience biochemical recurrence (BCR), which is associated with subsequent metastasis and cancer-specific mortality. We employed machine learning (ML) algorithms to predict BCR...
Predictive Value of Tests Prostatic Neoplasms Neoplasm Staging Nomograms Regression Analysis Prostatectomy Prognosis Algorithms Recurrence Reproducibility of Results Comparative Effectiveness Research Biomarkers Supervised Machine Learning Middle Aged Computer Simulation Humans Neoplasm Metastasis Male Risk Assessment Artificial Intelligence
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Empirical Analysis of Financial Depth and Width Based on Convolutional Neural Network.

Computational intelligence and neuroscience Dec 2, 2021
There are great differences in financial and economic development in different regions. In different time series and different regions, the effects of financial depth and width on economic development are also different. This paper selects neural net...
Models, Economic Neural Networks, Computer Computer Simulation
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