AIMC Topic: Computer Simulation
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NeuralFeels with neural fields: Visuotactile perception for in-hand manipulation.
Science robotics
Nov 13, 2024
To achieve human-level dexterity, robots must infer spatial awareness from multimodal sensing to reason over contact interactions. During in-hand manipulation of novel objects, such spatial awareness involves estimating the object's pose and shape. T...
Developing physics-informed neural networks for model predictive control of periodic counter-current chromatography.
Journal of chromatography. A
Nov 12, 2024
The applications of continuous manufacturing technology in biopharmaceuticals require advanced design, monitoring, and control due to its complexity. Traditional mechanistic models, which rely on numerical solutions, suffer from long computational ti...
Dynamic modelling and predictive position/force control of a plant-inspired growing robot.
Bioinspiration & biomimetics
Nov 12, 2024
This paper presents the development and control of a dynamic model for a plant-inspired growing robot, termed the 'vine-robot', using the Euler-Lagrangian method. The unique growth mechanism of the vine-robot enables it to navigate complex environmen...
MRI denoising with a non-blind deep complex-valued convolutional neural network.
NMR in biomedicine
Nov 11, 2024
MR images with high signal-to-noise ratio (SNR) provide more diagnostic information. Various methods for MRI denoising have been developed, but the majority of them operate on the magnitude image and neglect the phase information. Therefore, the goal...
Deep learning-based near-field effect correction method for Controlled Source Electromagnetic Method and application.
PloS one
Nov 11, 2024
Addressing the impact of near-field effects in the Controlled Source Electromagnetic Method(CSEM) has long been a focal point in the realm of geophysical exploration. Therefore, we propose a deep learning-based near-field correction method for contro...
Complexities of feature-based learning systems, with application to reservoir computing.
Neural networks : the official journal of the International Neural Network Society
Nov 9, 2024
This paper studies complexity measures of reservoir systems. For this purpose, a more general model that we call a feature-based learning system, which is the composition of a feature map and of a final estimator, is studied. We study complexity meas...
Outer synchronization and outer H synchronization for coupled fractional-order reaction-diffusion neural networks with multiweights.
Neural networks : the official journal of the International Neural Network Society
Nov 9, 2024
This paper introduces multiple state or spatial-diffusion coupled fractional-order reaction-diffusion neural networks, and discusses the outer synchronization and outer H synchronization problems for these coupled fractional-order reaction-diffusion ...
Exploring the spatial effects influencing the EGFR/ERK pathway dynamics with machine learning surrogate models.
Bio Systems
Nov 7, 2024
The fate of cells is regulated by biochemical reactions taking place inside of them, known as intracellular pathways. Cells display a variety of characteristics related to their shape, structure and contained fluid, which influences the diffusion of ...
Synergistic biophysics and machine learning modeling to rapidly predict cardiac growth probability.
Computers in biology and medicine
Nov 7, 2024
Computational models that can predict growth and remodeling of the heart could have important clinical applications. However, the time it takes to calibrate and run current models while considering data uncertainty and variability makes them impracti...
In silico formulation optimization and particle engineering of pharmaceutical products using a generative artificial intelligence structure synthesis method.
Nature communications
Nov 7, 2024
Pharmaceutical drug dosage forms are critical for ensuring the effective and safe delivery of active pharmaceutical ingredients to patients. However, traditional formulation development often relies on extensive lab and animal experimentation, which ...
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