AIMC Topic: Lasers

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Application of Terrestrial Laser Scanning (TLS) in the Architecture, Engineering and Construction (AEC) Industry.

Sensors (Basel, Switzerland) Dec 30, 2021
As a revolutionary technology, terrestrial laser scanning (TLS) is attracting increasing interest in the fields of architecture, engineering and construction (AEC), with outstanding advantages, such as highly automated, non-contact operation and effi...
Artificial Intelligence Light Lasers Industry Engineering
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Interpreting support vector machines applied in laser-induced breakdown spectroscopy.

Analytica chimica acta Dec 3, 2021
Laser-induced breakdown spectroscopy is often combined with a multivariate black box model-such as support vector machines (SVMs)-to obtain desirable quantitative or qualitative results. This approach carries obvious risks when practiced in high-stak...
Support Vector Machine Spectrum Analysis Lasers
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Deep Learning Based Monitoring of Spatter Behavior by the Acoustic Signal in Selective Laser Melting.

Sensors (Basel, Switzerland) Oct 28, 2021
As one of the most promising metal additive manufacturing (AM) technologies, the selective laser melting (SLM) process has high expectations ofr its use in aerospace, medical, and other fields. However, various defects such as spatter, crack, and por...
Neural Networks, Computer Algorithms Deep Learning Acoustics Lasers
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Performing sequential forward selection and variational autoencoder techniques in soil classification based on laser-induced breakdown spectroscopy.

Analytical methods : advancing methods and applications Oct 28, 2021
The feasibility and accuracy of several combination classification models, , quadratic discriminant analysis (QDA), random forest (RF), Bernoulli naïve Bayes (BNB), and support vector machine (SVM) classification models combined with either sequentia...
Soil Support Vector Machine Bayes Theorem Spectrum Analysis Lasers
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Improving the Ability of a Laser Ultrasonic Wave-Based Detection of Damage on the Curved Surface of a Pipe Using a Deep Learning Technique.

Sensors (Basel, Switzerland) Oct 26, 2021
With the advent of the Fourth Industrial Revolution, the economic, social, and technological demands for pipe maintenance are increasing due to the aging of the infrastructure caused by the increase in industrial development and the expansion of citi...
Neural Networks, Computer Algorithms Deep Learning Lasers Ultrasonic Waves
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Towards ML-Based Diagnostics of Laser-Plasma Interactions.

Sensors (Basel, Switzerland) Oct 21, 2021
The power of machine learning (ML) in feature identification can be harnessed for determining quantities in experiments that are difficult to measure directly. However, if an ML model is trained on simulated data, rather than experimental results, th...
Machine Learning Principal Component Analysis Lasers
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Prediction of In Vivo Laser-Induced Thermal Damage with Hyperspectral Imaging Using Deep Learning.

Sensors (Basel, Switzerland) Oct 19, 2021
Thermal ablation is an acceptable alternative treatment for primary liver cancer, of which laser ablation (LA) is one of the least invasive approaches, especially for tumors in high-risk locations. Precise control of the LA effect is required to safe...
Neural Networks, Computer Deep Learning Hyperspectral Imaging Lasers Laser Therapy
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Real-Time Detection of Non-Stationary Objects Using Intensity Data in Automotive LiDAR SLAM.

Sensors (Basel, Switzerland) Oct 13, 2021
This article aims at demonstrating the feasibility of modern deep learning techniques for the real-time detection of non-stationary objects in point clouds obtained from 3-D light detecting and ranging (LiDAR) sensors. The motion segmentation task is...
Neural Networks, Computer Motion Lasers
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Graph Attention Feature Fusion Network for ALS Point Cloud Classification.

Sensors (Basel, Switzerland) Sep 15, 2021
Classification is a fundamental task for airborne laser scanning (ALS) point cloud processing and applications. This task is challenging due to outdoor scenes with high complexity and point clouds with irregular distribution. Many existing methods ba...
Neural Networks, Computer Photogrammetry Semantics Lasers Radionuclide Imaging
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The Effect of Synergistic Approaches of Features and Ensemble Learning Algorith on Aboveground Biomass Estimation of Natural Secondary Forests Based on ALS and Landsat 8.

Sensors (Basel, Switzerland) Sep 6, 2021
Although the combination of Airborne Laser Scanning (ALS) data and optical imagery and machine learning algorithms were proved to improve the estimation of aboveground biomass (AGB), the synergistic approaches of different data and ensemble learning ...
Machine Learning Biomass China Forests Lasers
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