Precision Medical Sciences, EarlyView.Overview of multimodal artificial intelligence (AI) for precision therapeutics. Diverse biomedical data modalities, including multi‐omics, medical imaging, digital pathology, electronic health records, wearable‐device data, and molecular information, are integrated through multimodal AI frameworks incorporating fusion strategies, foundation models ...
Gedion Mengistu Dejen
wiley +1 more source
MedScanGAN: Synthetic PET & CT Scan Generation Using Conditional Generative Adversarial Networks for Medical AI Data Augmentation. [PDF]
Bioengineering (Basel)Samaras AD +2 more
europepmc +1 more source
Automatic insect identification, counting, and monitoring techniques: a review
Pest Management Science, EarlyView.Automated insect monitoring increasingly integrates optical, acoustic, infrared, radar, electrostatic, and biosensing technologies with artificial intelligence. No single approach is universally optimal; reliable deployment depends on task‐specific validation, representative datasets, robustness under field conditions, energy autonomy, connectivity ...
Mariano González García +3 more
wiley +1 more source
Multimodal generative adversarial networks for piano fingering correction and performance expressiveness modeling through audio-visual feature fusion. [PDF]
Sci RepLi J.
europepmc +1 more source
Quality and Reliability Engineering International, EarlyView.ABSTRACT This study examines how Lean Six Sigma (LSS) currently functions in the U.S. textile and apparel industry after years of adoption and use. Moving beyond isolated project‐level evidence, this study investigates whether LSS has been implemented as an organizational capability and integrated into the corporate culture, adapted to textile‐specific
Alireza Vahedi Fakhr +2 more
wiley +1 more source
Neural Network‐Based Runtime Monitoring and Control for Unknown Nonlinear Systems
International Journal of Robust and Nonlinear Control, EarlyView.ABSTRACT Real‐time system monitoring and stabilization become especially challenging when the system dynamics are unknown. This article introduces a novel design for monitoring and stabilizing unknown nonlinear systems with measurement noise. The design utilizes a generic modelling framework by decomposing the system into a known tunable linear ...
Jianglin Lan, Xianxian Zhao, Ron Patton
wiley +1 more source
Forecasting the diabetic retinopathy progression using generative adversarial networks. [PDF]
Commun Med (Lond)Qiao H +14 more
europepmc +1 more source
Deep Reinforcement Learning‐Based Control for Real‐Time Hybrid Simulation of Civil Structures
International Journal of Robust and Nonlinear Control, EarlyView.ABSTRACT Real‐time Hybrid Simulation (RTHS) is a cyber‐physical technique that studies the dynamic behavior of a system by combining physical and numerical components that are coupled through a boundary condition enforcer. In structural engineering, the numerical components are subjected to environmental loads that become dynamic displacements of the ...
Andrés Felipe Niño +6 more
wiley +1 more source
Effectiveness Assessment of Underwater Area Cruise Based on the ADC Method
Journal of Field Robotics, EarlyView.ABSTRACT Underwater area surveillance plays a crucial role in upholding national security, safeguarding strategic interests, and mitigating potential threats. Despite its significance, a notable gap persists in the availability of comprehensive models for assessing its effectiveness.
Qingwei Liang +3 more
wiley +1 more source
Multiscale attention generative adversarial networks for lesion synthesis in chest X-ray images. [PDF]
Sci RepAlam MS, Meijering E, Wang D, Sowmya A.
europepmc +1 more source