Results 201 to 210 of about 398,426 (282)
Performance Improvement of Partial Least Squares Regression Soluble Solid Content Prediction Model Based on Adjusting Distance between Light Source and Spectral Sensor according to Apple Size. [PDF]
Song DJ +5 more
europepmc +1 more source
Integration of Partial Least Squares Regression and Hyperspectral Data Processing for the Nondestructive Detection of the Scaling Rate of Carp (Cyprinus carpio). [PDF]
Wang H +5 more
europepmc +1 more source
Micropillar‐Engineered Hybrid Adhesive Patch for Surface‐Conformable and Directional Adhesion
This work presents a surface‐conformable hybrid adhesive integrating height‐optimized hexagonal micropillars with open‐rectangular cuts. The micropillars enhance rough‐surface contact and microscale crack arrest, while the cuts guide and reverse interfacial cracks for strong and directional adhesion. The multiscale architecture achieves robust pull‐off
Seongjin Park +4 more
wiley +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
Microfluidic engineering enables the fabrication of chitosan‐coated, melatonin‐loaded nanoemulsions with controlled release and enhanced physicochemical stability for space pharmaceutics. Interfacial biopolymer coating modulates droplet behavior under accelerated thermal stress and simulated microgravity.
Modupe Adebowale +3 more
wiley +1 more source
Embedded flexible sensing technologies advance underwater soft robotics, yet most systems still suffer from hysteresis and limited perceptiveness. Instead, vision‐based tactile sensors provide reliable and rapid feedback essential for complex underwater tasks.
Qiyi Zhang +5 more
wiley +1 more source
Robots can learn manipulation tasks from human demonstrations. This work proposes a versatile method to identify the physical interactions that occur in a demonstration, such as sequences of different contacts and interactions with mechanical constraints.
Alex Harm Gert‐Jan Overbeek +3 more
wiley +1 more source
This study explores how information processing is distributed between brains and bodies through a codesign approach. Using the “backpropagation through soft body” framework, brain–body coupling agents are developed and analyzed across several tasks in which output is generated through the agents’ physical dynamics.
Hiroki Tomioka +3 more
wiley +1 more source
This work presents a robotic control method for human–robot collaborative assembly based on a biomechanics‐constrained digital human model. Reinforcement learning is used to generate physiologically plausible human motion trajectories, which are integrated into a virtual environment for robot control learning.
Bitao Yao +4 more
wiley +1 more source
This work reports on the actuation behavior of CP‐based polypyrrole/PVdF TYs soaked in electrolyte/ionic liquids and woven actuators where such TYs are integrated. These studies are important toward the creation of on‐body applications such as wearable soft robotics, where textiles offer many advantages such as increased force, integrated electrical ...
Carin Backe +4 more
wiley +1 more source

