AIMC Topic: Computer Simulation

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A Flexible Ensemble Learning Method for Survival Extrapolation.

Therapeutic innovation & regulatory science Dec 19, 2022
OBJECTIVES: Survival extrapolation is an important statistical concept for estimating long-term survival from short-term clinical trial data. It is widely used in health technology assessment (HTA). Survival extrapolation is often performed by fittin...
Machine Learning Computer Simulation Treatment Outcome Models, Statistical
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Performance of the SABAT Neutron-Based Explosives Detector Integrated with an Unmanned Ground Vehicle: A Simulation Study.

Sensors (Basel, Switzerland) Dec 19, 2022
The effective and safe detection of illicit materials, explosives in particular, is currently of growing importance taking into account the geopolitical situation and increasing risk of a terrorist attack. The commonly used methods of detection are b...
Computer Simulation Robotics Electronics Neutrons Explosive Agents
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Comparing linear discriminant analysis and supervised learning algorithms for binary classification-A method comparison study.

Biometrical journal. Biometrische Zeitschrift Dec 18, 2022
In psychology, linear discriminant analysis (LDA) is the method of choice for two-group classification tasks based on questionnaire data. In this study, we present a comparison of LDA with several supervised learning algorithms. In particular, we exa...
Algorithms Computer Simulation Support Vector Machine Cluster Analysis Discriminant Analysis
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Intelligent Sensors for dc Fault Location Scheme Based on Optimized Intelligent Architecture for HVdc Systems.

Sensors (Basel, Switzerland) Dec 16, 2022
We develop a probabilistic model for determining the location of dc-link faults in MT-HVdc networks using discrete wavelet transforms (DWTs), Bayesian optimization, and multilayer artificial neural networks (ANNs) based on local information. Likewise...
Neural Networks, Computer Algorithms Computer Simulation Bayes Theorem Time
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Handover Optimization Algorithm Based on T2RFS-FNN.

Computational intelligence and neuroscience Dec 14, 2022
As a key technology for highly reliable communication in the fifth generation mobile communication for railway (5G-R) high-speed railway wireless communication system, once the handover fails, it will pose a serious risk to the safe operation of high...
Neural Networks, Computer Algorithms Computer Simulation Communication Fuzzy Logic
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Clustering of single-cell multi-omics data with a multimodal deep learning method.

Nature communications Dec 13, 2022
Single-cell multimodal sequencing technologies are developed to simultaneously profile different modalities of data in the same cell. It provides a unique opportunity to jointly analyze multimodal data at the single-cell level for the identification ...
Computer Simulation Deep Learning Single-Cell Analysis Multiomics Cluster Analysis
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Epistemic Rights and Responsibilities of Digital Simulacra for Biomedicine.

The American journal of bioethics : AJOB Dec 12, 2022
Big data and AI have enabled digital simulation for prediction of future health states or behaviors of specific individuals, populations or humans in general. "Digital simulacra" use multimodal datasets to develop computational models that are virtua...
Humans Artificial Intelligence Computer Simulation Big Data
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Semi-Supervised Framework with Autoencoder-Based Neural Networks for Fault Prognosis.

Sensors (Basel, Switzerland) Dec 12, 2022
This paper presents a generic framework for fault prognosis using autoencoder-based deep learning methods. The proposed approach relies upon a semi-supervised extrapolation of autoencoder reconstruction errors, which can deal with the unbalanced prop...
Neural Networks, Computer Computer Simulation Prognosis Reproducibility of Results
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Optimal Underwater Acoustic Warfare Strategy Based on a Three-Layer GA-BP Neural Network.

Sensors (Basel, Switzerland) Dec 11, 2022
A defense platform is usually based on two methods to make underwater acoustic warfare strategy decisions. One is through Monte-Carlo method online simulation, which is slow. The other is by typical empirical (database) and typical back-propagation (...
Neural Networks, Computer Algorithms Computer Simulation Acoustics Probability
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Efficient targeted learning of heterogeneous treatment effects for multiple subgroups.

Biometrics Dec 10, 2022
In biomedical science, analyzing treatment effect heterogeneity plays an essential role in assisting personalized medicine. The main goals of analyzing treatment effect heterogeneity include estimating treatment effects in clinically relevant subgrou...
Humans Machine Learning Computer Simulation Precision Medicine Propensity Score Likelihood Functions
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