Results 231 to 240 of about 24,909 (305)
Advancing spine surgery: Evaluating the potential for full robotic automation. [PDF]
Samprón N+5 more
europepmc +1 more source
This study introduces a hybrid robot that integrates mechanical assistance by musculoskeletons (i.e., soft pneumatic muscle with rigid exoskeletal extensions), neuromuscular electrical stimulation, and vibrotactile feedback in a lightweight wearable mechatronic complex applicable to the paretic ankle–foot poststroke for gait restoration. The system can
Fuqiang Ye+16 more
wiley +1 more source
A Real Network Environment Dataset for Traffic Analysis. [PDF]
Jiang W, Zhang B, Zhu Q, Liao C, Wang W.
europepmc +1 more source
Multi‐Material Additive Manufacturing of Soft Robotic Systems: A Comprehensive Review
This review explores the transformative role of multi‐material additive manufacturing (MMAM) in the development of soft robotic systems. It presents current techniques, materials, and design strategies that enable functionally graded and adaptive structures.
Ritik Raj+2 more
wiley +1 more source
Research on self-supervised super resolution restoration algorithm based on reflective micro-scanning optical system. [PDF]
Chen J, Wang Y, Ye X, Chen M, Zhou Q.
europepmc +1 more source
Advancements in Plant Diagnostic and Sensing Technologies
This review explores plant diagnostic and sensing technologies, highlighting key traits, structures, and metabolites. It covers conventional methods like leaf light reflectance and fluorescence, as well as advanced optical techniques such as Fourier transform infrared spectroscopy and Raman spectroscopy. The integration of machine learning, statistical
Shalini Krishnamoorthi+7 more
wiley +1 more source
Photonic neuromorphic accelerator for convolutional neural networks based on an integrated reconfigurable mesh. [PDF]
Tsirigotis A+8 more
europepmc +1 more source
Neural‐network‐based (NN) temperature sensing: Machine‐learning non‐contact method for the determination of the temperature of a laser gain medium via its laser emission with few‐layer neural net (NN) regression model. Training the feed‐forward NN with data recorded by compact micro‐spectrometers for both a diode pump laser and optically‐pumped gain ...
Jakob Mannstadt, Arash Rahimi‐Iman
wiley +1 more source
Deep Reinforcement Learning-Guided Inverse Design of Transparent Heat Mirror Film for Broadband Spectral Selectivity. [PDF]
Zeng Z+6 more
europepmc +1 more source