Results 191 to 200 of about 609,343 (292)
Predicting individual differences in digital alcohol intervention effectiveness through multimodal data. [PDF]
Fuchs M +13 more
europepmc +1 more source
This study explores how machine learning models, trained on small experimental datasets obtained via Phase Doppler Anemometry (PDA), can accurately predict droplet size (D32) in ultrasonic spray coating (USSC). By capturing the influence of ink complexity (solvent, polymer, nanoparticles), power, and flow rate, the model enables precise droplet control
Pieter Verding +5 more
wiley +1 more source
Application of multimodal data fusion and intelligent classification in medical coding with the MCoder-T model. [PDF]
Li Y, Zhao J, Li X, Liang S, Tang Y.
europepmc +1 more source
Chemically Doped Conductive Polymers for Wearable Health Monitoring
Among conductive polymers, poly(3,4‐ethylenedioxythiophene):poly(styrenesulfonate) (PEDOT:PSS), polyaniline (PANI), and polypyrrole (PPy) are the most studied and applied. Chemical doping significantly boosts intrinsic conductivity and mechanical robustness.
Mengdi Zuo +5 more
wiley +1 more source
The Application of Multimodal Data Fusion Algorithm MULTINet in Postoperative Risk Assessment of TAVR. [PDF]
He W, Luo J, Yang X.
europepmc +1 more source
Passive Shape‐Adaptive Fluidic Interface for Enhanced Skin‐Sensor Coupling in Wearable Devices
This study presents a passive fluidic interface for wearable biosensors that adapts to static and dynamic body shape changes to maintain consistent skin contact. Flexible, fluid‐filled pouches redistribute pressure from high‐load areas to regions requiring improved contact, enhancing signal quality and comfort in a compact, low‐energy design for ...
Natalia Sanchez‐Tamayo +6 more
wiley +1 more source
An AI-first framework for multimodal data in Alzheimer's disease and related dementias. [PDF]
Jasodanand VH +2 more
europepmc +1 more source
Recent Advances of Slip Sensors for Smart Robotics
This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang +8 more
wiley +1 more source

