Results 231 to 240 of about 240,145 (341)
A nonlinear conductive graphene composite (NcGc) layer, incorporating a conductive laser‐reduced graphene oxide layer, is assembled into flexible pressure sensors without microstructural designs, achieving high sensitivity (742.3 kPa−1) and a wide linear sensing range (>800 kPa).
Feng Luo+2 more
wiley +1 more source
YOLOv8-DEE: a high-precision model for printed circuit board defect detection. [PDF]
Yi F+4 more
europepmc +1 more source
This review discusses recent innovations in electrochemical CO2 reduction reactions (eCO2RR) and hydrogen evolution reaction cell designs. The latest advancements in in situ cells for operando characterization are also presented. Optimizations in flow patterns, membrane electrode assemblies, electrolyte engineering, and counter‐anodic reactions provide
Zhangsen Chen+3 more
wiley +1 more source
Organic Synaptic Transistors and Printed Circuit Board Defect Inspection with Photonic Stimulation: A Novel Approach Using Oblique Angle Deposition. [PDF]
Lee G+6 more
europepmc +1 more source
Water impacting, freezing, melting, and being mechanically removed from the designed dielectric surfaces generates a triboeletric signal that can be used to detect various icing and de‐icing scenarios. The charge transferred directly scales with the interfacial fracture mechanism, further validating triboelectricity as an excellent ice‐detection ...
Kamran Alasvand Zarasvand+12 more
wiley +1 more source
Defect detection of printed circuit board assembly based on YOLOv5. [PDF]
Shen M+10 more
europepmc +1 more source
The optimisation of the single surface mount device placement machine in printed circuit board assembly: a survey [PDF]
Masri Ayob, Graham Kendall
openalex +1 more source
Hardware Implementation of On‐Chip Hebbian Learning Through Integrated Neuromorphic Architecture
This work presents a neuromorphic hardware platform that integrates presynaptic transistors, threshold switching neurons, and adaptive feedback synapses. The architecture enables on‐chip Hebbian learning through correlation‐based weight updates without external training circuits.
Seonkwon Kim+6 more
wiley +1 more source
YOLO-BFRV: An Efficient Model for Detecting Printed Circuit Board Defects. [PDF]
Liu J, Kang B, Liu C, Peng X, Bai Y.
europepmc +1 more source