Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Deep learning for unmanned aerial vehicles detection: A review
N Al-lQubaydhi, A Alenezi, T Alanazi, A Senyor… - Computer Science …, 2024 - Elsevier
As a new type of aerial robotics, drones are easy to use and inexpensive, which has
facilitated their acquisition by individuals and organizations. This unequivocal and …
facilitated their acquisition by individuals and organizations. This unequivocal and …
Deep learning (CNN) and transfer learning: a review
Deep Learning is a machine learning area that has recently been used in a variety of
industries. Unsupervised, semi-supervised, and supervised-learning are only a few of the …
industries. Unsupervised, semi-supervised, and supervised-learning are only a few of the …
Application of sensing technology in intelligent robotic arc welding: A review
As a traditional fusion welding method, arc welding occupies most of the total welding
production. However, the current industrial welding robots with the “teaching and playback” …
production. However, the current industrial welding robots with the “teaching and playback” …
Deep learning based real-time and in-situ monitoring of weld penetration: where we are and what are needed revolutionary solutions?
Abstract Welding Procedure Designed assures the desired weld penetration be produced
under nominal welding conditions. When conditions deviate from the nominal, penetration …
under nominal welding conditions. When conditions deviate from the nominal, penetration …
Convolutional neural network-based deep transfer learning for fault detection of gas turbine combustion chambers
Gas turbine combustion chambers work in highly adverse environment and thus malfunction
more easily compared to other components. Fault detection of gas turbine combustion …
more easily compared to other components. Fault detection of gas turbine combustion …
Progress and perspectives of in-situ optical monitoring in laser beam welding: Sensing, characterization and modeling
Laser beam welding manufacturing (LBW), being a promising joining technology with
superior capabilities of high-precision, good-flexibility and deep penetration, has attracted …
superior capabilities of high-precision, good-flexibility and deep penetration, has attracted …
Manufacturing process monitoring using time-frequency representation and transfer learning of deep neural networks
On-line process monitoring increases product quality, improves process stability, and lowers
costs in manufacturing. This paper presents a study of using time-frequency representation …
costs in manufacturing. This paper presents a study of using time-frequency representation …
Real-time sensing of gas metal arc welding process–A literature review and analysis
Welding is a major manufacturing process that joins two or more pieces of materials together
through heating/mixing them, with or without pressure, as they cool and solidify. The goal of …
through heating/mixing them, with or without pressure, as they cool and solidify. The goal of …
Research and prospect of welding monitoring technology based on machine vision
Welding monitoring technology based on machine vision has been widely researched in
academic and industry, especially in the background of Industry 4.0, in that it can contribute …
academic and industry, especially in the background of Industry 4.0, in that it can contribute …
A deep-learning-based in-situ surface anomaly detection methodology for laser directed energy deposition via powder feeding
Abstract Laser Directed Energy Deposition via Powder Fed (LDED-PF) based Metal Additive
Manufacturing suffers from inferior dimensional accuracy mainly due to thermal cycling …
Manufacturing suffers from inferior dimensional accuracy mainly due to thermal cycling …