Textile and colour defect detection using deep learning methods
Abstract Recent advances in deep learning (DL) have significantly enhanced the detection of textile and colour defects. This review focuses specifically on the application of DL‐based methods for defect detection in textile and coloration processes, with an emphasis on object detection and related computer vision (CV) tasks.
Hao Cui +2 more
wiley +1 more source
Improvement Performance of p-GaN Gate High-Electron-Mobility Transistors with GaN/AlN/AlGaN Barrier Structure. [PDF]
Liu AC, Huang YW, Chen HC, Kuo HC.
europepmc +1 more source
Growth of p-GaN layers over tri-gate
Report on development of growth techniques of pGaN over trigate structures for normally off behaviour ...
openaire +1 more source
Review of the Gate Structure for Normally Off p-GaN High-Electron-Mobility Transistors Towards High Performances. [PDF]
Pu T, Li X, Li L, Ao JP.
europepmc +1 more source
Design and validation of a deep learning GAN for predicting <sup>1</sup> <sup>7</sup> <sup>7</sup>Lu dose voxel kernels using GATE/GEANT4 Monte Carlo and IDAC-Dose 2.1 in phantom dosimetry. [PDF]
Kapis OE +3 more
europepmc +1 more source
Novel Monolithic CAVET-HEMT Integration for Inverting-Switch Operation. [PDF]
Tan WH +7 more
europepmc +1 more source
Advanced physical modeling approaches for high-precision TCAD simulation of GaN HEMT power devices: a review. [PDF]
Zhao H +6 more
europepmc +1 more source
Suppression of Interface Traps and Improved Breakdown in Recessed-Gate AlGaN/GaN MISHEMTs Using Low-Temperature Nitrogen Passivation. [PDF]
Chen HC +6 more
europepmc +1 more source
Terahertz Antenna-Coupled Wire-Channel Field-Effect Transistors Based on AlGaN/GaN Heterostructures. [PDF]
Moscotin M +5 more
europepmc +1 more source
Source Field Plate Incorporated Monolithic Inverters Composed of GaN-Based CMOS-HEMTs with Double-2DEG Channels and Fin-Gated Multiple Nanochannels. [PDF]
Chen HY, Lee HY, Lee H, Wu YR, Lee CT.
europepmc +1 more source

