Results 261 to 270 of about 286,671 (323)
Dynamic convolution models for cross-frontend keyword spotting. [PDF]
Liu R, Chen W, Zhang X.
europepmc +1 more source
Convolution of sequences [PDF]
openaire +2 more sources
This study proposes tribenzyl organic cation carried multidentate X‐type Lewis soft base to enhance adhesion and passivate defects simultaneously, aiming to achieve foldable and efficient perovskite nanocrystal‐based light‐emitting diodes. The resulting pure red F‐PeLEDs exhibit a recorded high EQE of 16.2% and robust mechanical properties to endure ...
Benzheng Lyu+9 more
wiley +1 more source
Non-end-to-end adaptive graph learning for multi-scale temporal traffic flow prediction. [PDF]
Xu K+8 more
europepmc +1 more source
Manipulating Ferroelectric Topological Polar Structures with Twisted Light
We demonstrate dynamic control of ferroelectric order in quasi‐2D CsBiNb2O7 using twisted ultraviolet light carrying orbital angular momentum. Our approach harnesses non‐resonant multiphoton absorption and induced strain to modulate topological of ferroelectric polarization textures.
Nimish P. Nazirkar+10 more
wiley +1 more source
Frame points attention convolution for deep learning on point cloud. [PDF]
Li L, He L, Gao J, Han X.
europepmc +1 more source
Van Der Waals Hybrid Integration of 2D Semimetals for Broadband Photodetection
Advanced broadband photodetector technologies are essential for military and civilian applications. 2D semimetals, with their gapless band structures, high mobility, and topological protection, offer great promise for broadband PDs. This study reviews the latest advancements in broadband PDs utilizing heterostructures that combine 2D semimetals with ...
Xue Li+9 more
wiley +1 more source
An object detection model AAPW-YOLO for UAV remote sensing images based on adaptive convolution and reconstructed feature fusion. [PDF]
Wu Y, Mu X, Shi H, Hou M.
europepmc +1 more source
Machine‐Learning‐Aided Advanced Electrochemical Biosensors
Electrochemical biosensors are highly sensitive, portable, and versatile. Advanced nanomaterials enhance their performance, while machine learning (ML) improves data analysis, minimizes interference, and optimizes sensor design. Despite progress in both fields, their combined potential in diagnostics remains underexplored.
Andrei Bocan+9 more
wiley +1 more source
Comparing UNet configurations for anthropogenic geomorphic feature extraction from land surface parameters. [PDF]
Farhadpour S, Maxwell AE.
europepmc +1 more source