AIMC Topic: Computer Simulation
Clear Filters Showing 451 to 460 of 3963 articles
Prescribed performance adaptive neural event-triggered control for switched nonlinear cyber-physical systems under deception attacks.
Neural networks : the official journal of the International Neural Network Society
Jul 27, 2024
In this paper, the design of an adaptive neural event-triggered control scheme for a class of switched nonlinear systems affected by external disturbances and deception attacks is presented. In order to address the effects caused by unknown disturban...
A Hyper-Transformer model for Controllable Pareto Front Learning with Split Feasibility Constraints.
Neural networks : the official journal of the International Neural Network Society
Jul 26, 2024
Controllable Pareto front learning (CPFL) approximates the Pareto optimal solution set and then locates a non-dominated point with respect to a given reference vector. However, decision-maker objectives were limited to a constraint region in practice...
Optimal synchronization with L-gain performance: An adaptive dynamic programming approach.
Neural networks : the official journal of the International Neural Network Society
Jul 25, 2024
This paper studies an optimal synchronous control protocol design for nonlinear multi-agent systems under partially known dynamics and uncertain external disturbance. Under some mild assumptions, Hamilton-Jacobi-Isaacs equation is derived by the perf...
Advancements in nanobody generation: Integrating conventional, in silico, and machine learning approaches.
Biotechnology and bioengineering
Jul 25, 2024
Nanobodies, derived from camelids and sharks, offer compact, single-variable heavy-chain antibodies with diverse biomedical potential. This review explores their generation methods, including display techniques on phages, yeast, or bacteria, and comp...
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...
Don't Miss the Future of Medicine
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.
Subscribe NowPopular Topics
- Machine Learning 32531
- Neural Networks, Computer 30499
- Algorithms 27741
- Deep Learning 27298
- Artificial Intelligence 25221
- Robotics 13430
- Image Processing, Computer-Assisted 9890
- Retrospective Studies 9535
- Magnetic Resonance Imaging 6484
- Reproducibility of Results 5746
- Tomography, X-Ray Computed 4962
- Support Vector Machine 4812
- Computational Biology 4396
- Brain 4188
- Computer Simulation 3963
Recent Journals
- Scientific reports 7012
- Sensors (Basel, Switzerland) 4794
- PloS one 4314
- Neural networks : the official journal of the International Neural Network Society 3035
- Computers in biology and medicine 2040
- Computational intelligence and neuroscience 1931
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 1686
- Studies in health technology and informatics 1395
- IEEE journal of biomedical and health informatics 1197
- Journal of chemical information and modeling 1087
- Nature communications 1071
- Computer methods and programs in biomedicine 895
- Journal of medical Internet research 879
- Bioinformatics (Oxford, England) 879
- IEEE transactions on neural networks and learning systems 859