AIMC Topic: Computer Simulation
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Development and Validation of an Explainable Machine Learning Model for Identification of Hyper-Functioning Parathyroid Glands from High-Frequency Ultrasonographic Images.
Ultrasound in medicine & biology
Jul 25, 2024
OBJECTIVE: To develop and validate a machine learning (ML) model based on high-frequency ultrasound (HFUS) images with the aim to identify the functional status of parathyroid glands (PTGs) in secondary hyper-parathyroidism (SHPT) patients.
Accelerating multipool CEST MRI of Parkinson's disease using deep learning-based Z-spectral compressed sensing.
Magnetic resonance in medicine
Jul 24, 2024
PURPOSE: To develop a deep learning-based approach to reduce the scan time of multipool CEST MRI for Parkinson's disease (PD) while maintaining sufficient prediction accuracy.
Input-to-state stability of delayed memristor-based inertial neural networks via non-reduced order method.
Neural networks : the official journal of the International Neural Network Society
Jul 24, 2024
This paper is concerned with the input-to-state stability (ISS) for a kind of delayed memristor-based inertial neural networks (DMINNs). Based on the nonsmooth analysis and stability theory, novel delay-dependent and delay-independent criteria on the...
Recognition of aggressive driving behavior under abnormal weather based on Convolutional Neural Network and transfer learning.
Traffic injury prevention
Jul 24, 2024
OBJECTIVES: Aggressive driving behavior can lead to potential traffic collision risks, and abnormal weather conditions can exacerbate this behavior. This study aims to develop recognition models for aggressive driving under various climate conditions...
In silico method and bioactivity evaluation to discover novel antimicrobial agents targeting FtsZ protein: Machine learning, virtual screening and antibacterial mechanism study.
Naunyn-Schmiedeberg's archives of pharmacology
Jul 23, 2024
This research paper utilizes a fused-in-silico approach alongside bioactivity evaluation to identify active FtsZ inhibitors for drug discovery. Initially, ROC-guided machine learning was employed to obtain almost 13182 compounds from three libraries....
Real-time prediction of postoperative spinal shape with machine learning models trained on finite element biomechanical simulations.
International journal of computer assisted radiology and surgery
Jul 23, 2024
PURPOSE: Adolescent idiopathic scoliosis is a chronic disease that may require correction surgery. The finite element method (FEM) is a popular option to plan the outcome of surgery on a patient-based model. However, it requires considerable computin...
Quality-diversity based semi-autonomous teleoperation using reinforcement learning.
Neural networks : the official journal of the International Neural Network Society
Jul 22, 2024
Recent successes in robot learning have significantly enhanced autonomous systems across a wide range of tasks. However, they are prone to generate similar or the same solutions, limiting the controllability of the robot to behave according to user i...
Stability and synchronization of fractional-order reaction-diffusion inertial time-delayed neural networks with parameters perturbation.
Neural networks : the official journal of the International Neural Network Society
Jul 22, 2024
This study is centered around the dynamic behaviors observed in a class of fractional-order generalized reaction-diffusion inertial neural networks (FGRDINNs) with time delays. These networks are characterized by differential equations involving two ...
Protocol-based control for semi-Markov reaction-diffusion neural networks.
Neural networks : the official journal of the International Neural Network Society
Jul 22, 2024
This paper addresses the asynchronous control problem for semi-Markov reaction-diffusion neural networks (SMRDNNs) under probabilistic event-triggered protocol (PETP) scheduling. A semi-Markov process with a deterministic switching rule is introduced...
Computational Insights into Reproductive Toxicity: Clustering, Mechanism Analysis, and Predictive Models.
International journal of molecular sciences
Jul 22, 2024
Reproductive toxicity poses significant risks to fertility and progeny health, making its identification in pharmaceutical compounds crucial. In this study, we conducted a comprehensive in silico investigation of reproductive toxic molecules, identif...
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