AIMC Topic: Computer Simulation

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A Graph-Based Machine-Learning Approach Combined with Optical Measurements to Understand Beating Dynamics of Cardiomyocytes.

Journal of computational biology : a journal of computational molecular cell biology Dec 9, 2024
The development of computational models for the prediction of cardiac cellular dynamics remains a challenge due to the lack of first-principled mathematical models. We develop a novel machine-learning approach hybridizing physics simulation and graph...
Myocytes, Cardiac Algorithms Computer Simulation Animals Humans Calcium Machine Learning
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Frequency-adjusted borders ordinal forest: A novel tree ensemble method for ordinal prediction.

The British journal of mathematical and statistical psychology Dec 8, 2024
Ordinal responses commonly occur in psychology, e.g., through school grades or rating scales. Where traditionally parametric statistical models like the proportional odds model have been used, machine learning (ML) methods such as random forest (RF) ...
Computer Simulation Psychometrics Educational Measurement Models, Statistical Machine Learning Algorithms Humans
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FormulationBCS: A Machine Learning Platform Based on Diverse Molecular Representations for Biopharmaceutical Classification System (BCS) Class Prediction.

Molecular pharmaceutics Dec 8, 2024
The Biopharmaceutics Classification System (BCS) has facilitated biowaivers and played a significant role in enhancing drug regulation and development efficiency. However, the productivity of measuring the key discriminative properties of BCS, solubi...
Algorithms Computer Simulation Humans Machine Learning Solubility Permeability Drug Development Pharmaceutical Preparations Biopharmaceutics Drug Compounding Quantitative Structure-Activity Relationship
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Advancements in exponential synchronization and encryption techniques: Quaternion-Valued Artificial Neural Networks with two-sided coefficients.

Neural networks : the official journal of the International Neural Network Society Dec 6, 2024
This paper presents cutting-edge advancements in exponential synchronization and encryption techniques, focusing on Quaternion-Valued Artificial Neural Networks (QVANNs) that incorporate two-sided coefficients. The study introduces a novel approach t...
Computer Simulation Computer Security Neural Networks, Computer Algorithms
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Learning soft tissue deformation from incremental simulations.

Medical physics Dec 6, 2024
BACKGROUND: Surgical planning for orthognathic procedures demands swift and accurate biomechanical modeling of facial soft tissues. Efficient simulations are vital in the clinical pipeline, as surgeons may iterate through multiple plans. Biomechanica...
Mechanical Phenomena Finite Element Analysis Computer Simulation Biomechanical Phenomena Deep Learning Face Humans
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Deep learning based predictive modeling to screen natural compounds against TNF-alpha for the potential management of rheumatoid arthritis: Virtual screening to comprehensive in silico investigation.

PloS one Dec 5, 2024
Rheumatoid arthritis (RA) affects an estimated 0.1% to 2.0% of the world's population, leading to a substantial impact on global health. The adverse effects and toxicity associated with conventional RA treatment pathways underscore the critical need ...
Deep Learning Arthritis, Rheumatoid Biological Products Computer Simulation Humans Molecular Docking Simulation Tumor Necrosis Factor-alpha
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Classification of offshore wind grid-connected power quality disturbances based on fast S-transform and CPO-optimized convolutional neural network.

PloS one Dec 5, 2024
The large-scale integration of offshore wind power into the power grid has brought serious challenges to the power system power quality. Aiming at the problem of power quality disturbance detection and classification, this paper proposes a novel algo...
Wind Power Plants Algorithms Computer Simulation Neural Networks, Computer
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An adaptive variable-parameter dynamic learning network for solving constrained time-varying QP problem.

Neural networks : the official journal of the International Neural Network Society Dec 4, 2024
To efficiently solve the time-varying convex quadratic programming (TVCQP) problem under equational constraint, an adaptive variable-parameter dynamic learning network (AVDLN) is proposed and analyzed. Being different from existing varying-parameter ...
Computer Simulation Time Factors Machine Learning Humans Algorithms Neural Networks, Computer
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Accelerating virtual patient generation with a Bayesian optimization and machine learning surrogate model.

CPT: pharmacometrics & systems pharmacology Dec 4, 2024
The pharmaceutical industry has increasingly adopted model-informed drug discovery and development (MID3) to enhance productivity in drug discovery and development. Quantitative systems pharmacology (QSP), which integrates drug action mechanisms and ...
Humans Machine Learning Computer Simulation Drug Development Drug Discovery Bayes Theorem
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DFA-mode-dependent stability of impulsive switched memristive neural networks under channel-covert aperiodic asynchronous attacks.

Neural networks : the official journal of the International Neural Network Society Dec 1, 2024
This article is concerned with the deterministic finite automaton-mode-dependent (DFAMD) exponential stability problem of impulsive switched memristive neural networks (SMNNs) with aperiodic asynchronous attacks and the network covert channel. First,...
Neural Networks, Computer Algorithms Computer Simulation Computer Security
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