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
Multimodal Haptic Perception Through Synergistic Nanocomposite Sensor Arrays
Multi‐modal fingertip haptics are advanced through a bioinspired &vertical‐via' electronic skin architecture. A confined PDMS/MWCNT/NiNP nanocomposite, sitting at the percolation threshold, enables tactile, thermal, and magnetic sensing. A unique via‐density gradient and dedicated &Un‐Touch' reference nodes provide robust spatial resolution and signal ...
Amos Bardea, Fernando Patolsky
wiley +1 more source
Research on Error Compensation Methods of Dynamic Gravity Measurement Based on Swarm Cooperation Evolution Strategy and Optimized LSTM. [PDF]
Li X +5 more
europepmc +1 more source
A patient‐specific, imaging‐guided aid enables precise and reproducible drug delivery to the inner ear. By guiding therapeutic agents directly to the round window niche, this approach reduces variability in drug localization, improves delivery safety, and addresses a critical bottleneck in inner ear therapy, offering a scalable strategy for precision ...
Yanjing Luo +4 more
wiley +1 more source
Transferability of radiomics models between deep learning and conventional CT reconstruction algorithms: A task-based assessment for stratifying acute pancreatitis severity. [PDF]
Hu X +6 more
europepmc +1 more source
Evolution of OLED Lamination Technology With Development of Display Form Factors
This review evaluates the evolution of organic light‐emitting diode (OLED) lamination technologies alongside advancing display form factors. It contrasts optically clear adhesives and resins, highlighting uniformity control for rigid screens, bubble‐free optimization for bended architectures, and visible‐light curing for foldable layers.
Kwan‐Young Han, Ji‐Hoon Park
wiley +1 more source
The impact of a novel deep learning reconstruction algorithm on image quality in ultralow-dose CT: a quantitative phantom study. [PDF]
Su T, Jia Y, Shen Y, Zhang H.
europepmc +1 more source
Scalable Task Planning via Large Language Models and Structured World Representations
This work efficiently combines graph‐based world representations with the commonsense knowledge in Large Language Models to enhance planning techniques for the large‐scale environments that modern robots will need to face. Planning methods often struggle with computational intractability when solving task‐level problems in large‐scale environments ...
Rodrigo Pérez‐Dattari +4 more
wiley +1 more source
Unified comparison of machine learning paradigms for blood transfusion prediction in pediatric congenital heart surgery. [PDF]
Yin MW +8 more
europepmc +1 more source
Learning Highly Dynamic Skills Transition for Quadruped Jumping Through Constrained Space
A quadruped robot masters dynamic jumps through constrained spaces with animal‐inspired moves and intelligent vision control. This hierarchical learning approach combines imitation of biological agility with real‐time trajectory planning. Although legged animals are capable of performing explosive motions while traversing confined spaces, replicating ...
Zeren Luo +6 more
wiley +1 more source

