AIMC Topic: Computer Simulation

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SWsnn: A Novel Simulator for Spiking Neural Networks.

Journal of computational biology : a journal of computational molecular cell biology Aug 16, 2023
Spiking neural network (SNN) simulators play an important role in neural system modeling and brain function research. They can help scientists reproduce and explore neuronal activities in brain regions, neuroscience, brain-like computing, and other f...
Neurons Neural Networks, Computer Artificial Intelligence Brain Computer Simulation
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Enhanced wave overtopping simulation at vertical breakwaters using machine learning algorithms.

PloS one Aug 16, 2023
Accurate prediction of wave overtopping at sea defences remains central to the protection of lives, livelihoods, and infrastructural assets in coastal zones. In addressing the increased risks of rising sea levels and more frequent storm surges, robus...
Algorithms Random Forest Computer Simulation Neural Networks, Computer Machine Learning
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Advancing algorithmic drug product development: Recommendations for machine learning approaches in drug formulation.

European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences Aug 9, 2023
Artificial intelligence is a rapidly expanding area of research, with the disruptive potential to transform traditional approaches in the pharmaceutical industry, from drug discovery and development to clinical practice. Machine learning, a subfield ...
Machine Learning Computer Simulation Drug Compounding Reproducibility of Results Artificial Intelligence
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Developing machine learning approaches to identify candidate persistent, mobile and toxic (PMT) and very persistent and very mobile (vPvM) substances based on molecular structure.

Water research Aug 9, 2023
Determining which substances on the global market could be classified as persistent, mobile and toxic (PMT) substances or very persistent, very mobile (vPvM) substances is essential to prevent or reduce drinking water contamination from them. This st...
Machine Learning Environmental Pollutants Algorithms Computer Simulation Molecular Structure
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Modelling and robust controller design for an underactuated self-balancing robot with uncertain parameter estimation.

PloS one Aug 9, 2023
A comprehensive literature review of self-balancing robot (SBR) provides an insight to the strengths and limitations of the available control techniques for different applications. Most of the researchers have not included the payload and its variati...
Uncertainty Gravitation Humans Robotics Research Personnel Computer Simulation
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Improving drug discovery with a hybrid deep generative model using reinforcement learning trained on a Bayesian docking approximation.

Journal of computer-aided molecular design Aug 8, 2023
Generative approaches to molecular design are an area of intense study in recent years as a method to generate new pharmaceuticals with desired properties. Often though, these types of efforts are constrained by limited experimental activity data, re...
Machine Learning Drug Discovery Deep Learning Computer Simulation Bayes Theorem Drug Design
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Deep learning model fusion improves lung tumor segmentation accuracy across variable training-to-test dataset ratios.

Physical and engineering sciences in medicine Aug 7, 2023
This study aimed to investigate the robustness of a deep learning (DL) fusion model for low training-to-test ratio (TTR) datasets in the segmentation of gross tumor volumes (GTVs) in three-dimensional planning computed tomography (CT) images for lung...
Lung Neoplasms Datasets as Topic Middle Aged Deep Learning Humans Adult Male Computer Simulation Female Aged Aged, 80 and over
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Metadata and Image Features Co-Aware Personalized Federated Learning for Smart Healthcare.

IEEE journal of biomedical and health informatics Aug 7, 2023
Recently, artificial intelligence has been widely used in intelligent disease diagnosis and has achieved great success. However, most of the works mainly rely on the extraction of image features but ignore the use of clinical text information of pati...
Humans Computer Simulation Bayes Theorem Metadata Artificial Intelligence Algorithms
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Towards in silico CLIP-seq: predicting protein-RNA interaction via sequence-to-signal learning.

Genome biology Aug 4, 2023
We present RBPNet, a novel deep learning method, which predicts CLIP-seq crosslink count distribution from RNA sequence at single-nucleotide resolution. By training on up to a million regions, RBPNet achieves high generalization on eCLIP, iCLIP and m...
Bias Mutation RNA, Messenger RNA-Binding Proteins Alleles Nucleotides RNA Internet RNA, Viral Computer Simulation Deep Learning Humans RNA Splice Sites Consensus Sequence Binding Sites Datasets as Topic Nucleotide Motifs Base Sequence
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Species-specific wiring of cortical circuits for small-world networks in the primary visual cortex.

PLoS computational biology Aug 4, 2023
Long-range horizontal connections (LRCs) are conspicuous anatomical structures in the primary visual cortex (V1) of mammals, yet their detailed functions in relation to visual processing are not fully understood. Here, we show that LRCs are key compo...
Visual Perception Primary Visual Cortex Animals Mammals Brain Computer Simulation Neural Networks, Computer
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