Laser Fabrication of Multi‐Dimensional Perovskite Patterns with Intelligent Anti‐Counterfeiting Applications by Xiangyu Xu, Shoufang Liu, Yan Kuai, Yuxuan Jiang, Zhijia Hu, Benli Yu, Siqi Li

“…In this study, femtosecond laser direct writing technology is utilized to achieve rapid and highly precise micro/nanofabrication on perovskites. …”
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Classification of forest development stages from national low-density lidar datasets: a comparison of machine learning methods by R. Valbuena, M. Maltamo, P. Packalen

“…The area-based method has become a widespread approach in airborne laser scanning (ALS), being mainly employed for the estimation of continuous variables describing forest attributes: biomass, volume, density, etc. …”
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Mapping Windthrow Risk in <i>Pinus radiata</i> Plantations Using Multi-Temporal LiDAR and Machine Learning: A Case Study of Cyclone Gabrielle, New Zealand by Michael S. Watt, Andrew Holdaway, Nicolò Camarretta, Tommaso Locatelli, Sadeepa Jayathunga, Pete Watt, Kevin Tao, Juan C. Suárez

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Deep projective prediction of building facade footprints from ALS point cloud by Hengming Dai, Jiabo Xu, Xiangyun Hu, Zhen Shu, Wei Ma, Zhifang Zhao

Subjects: “…Airborne laser scanning…”
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Automatic Scan-to-BIM—The Impact of Semantic Segmentation Accuracy by Jidnyasa Patil, Mohsen Kalantari

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EDT-Net: A Lightweight Tunnel Water Leakage Detection Network Based on LiDAR Point Clouds Intensity Images by Zhenyu Liu, Xianjun Gao, Yuanwei Yang, Lei Xu, Shaoning Wang, Ningsheng Chen, Zhiwei Wang, Yuan Kou

Subjects: “…Deep learning…”
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Utilizing UAV and orthophoto data with bathymetric LiDAR in google earth engine for coastal cliff degradation assessment by Paweł Tysiąc, Rafał Ossowski, Łukasz Janowski, Damian Moskalewicz

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A neural network-based synthetic diagnostic of laser-accelerated proton energy spectra by Christopher J. G. McQueen, Robbie Wilson, Timothy P. Frazer, Martin King, Matthew Alderton, Ewan F. J. Bacon, Ewan J. Dolier, Thomas Dzelzainis, Jesel K. Patel, Maia P. Peat, Ben C. Torrance, Ross J. Gray, Paul McKenna

“…Abstract Machine learning can revolutionize the development of laser-plasma accelerators by enabling real-time optimization, predictive modeling and experimental automation. …”
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Laser powder bed fusion dataset for relative density prediction of commercial metallic alloys by Germán Omar Barrionuevo, Iván La Fé-Perdomo, Jorge A. Ramos-Grez

“…Abstract Laser-based powder bed fusion (L-PBF) technology stands out for its ability to create complex, high-performance parts, optimizing design freedom and material efficiency. …”
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High-Precision Modal Decomposition of Laser Beams Based on Globally Optimized SPGD Algorithm by Kyuhong Choi, Changsu Jun

“…We propose a globally optimized stochastic parallel gradient descent (SPGD) algorithm to analyze the modal content of laser beams with high precision. Modal decomposition (MD) based on conventional SPGD algorithms often falls to a local minimum when a laser beam consists of six or more fiber eigenmodes, which results in a false combination of modes. …”
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Leveraging Feature Fusion of Image Features and Laser Reflectance for Automated Fish Freshness Classification by Caner Balım, Nevzat Olgun, Mücahit Çalışan

“…This study proposes a novel, cost-effective hybrid methodology for automated three-level fish freshness classification (Day 1, Day 2, Day 3) by integrating single-wavelength laser reflectance data with deep learning-based image features. …”
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A Review of Finite Element Studies on Laser-Based Acoustic Applications in Solid Media by Evaggelos Kaselouris, Vasilis Dimitriou

“…The integration of Finite Element Method (FEM) simulations with laser-based techniques has significantly advanced acoustic research by enhancing wave measurement, analysis, and prediction in complex solid media. …”
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Novel lichen simulation and laser scan modelling to reveal lichen-covered carvings at Stonehenge by Gavin Leong, Matthew Brolly, David J. Nash

“…To address this, a novel lichen growth simulation (RDLA), informed by laser scans of R. siliquosa, was developed to model lichen growth on early Bronze Age carvings. …”
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Enhancing laser surface texturing with driving training-based optimization: A metaheuristic approach by Ishwer Shivakoti, Sunny Diyaley, Partha Protim Das, Abhijit Bhowmik, A. Johnson Santhosh

“…This paper investigates the capability of Laser Surface Textruing (LST) to induce texture on Ti-6Al-4V, aiming on optimizing process parameters viz. average power, pulse frequency, scanning speed, and gas pressure using the Driving Training-based Optimization (DTBO) algorithm. …”
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Review of online quality control for laser directed energy deposition (LDED) additive manufacturing by Long Ye, Hao Xue, Zhaosheng Li, Yichang Zhou, Guangyu Chen, Fangda Xu, Ruslan Melentiev, Stephen Newman, Nan Yu

“…Laser directed energy deposition (LDED) is an emerging branch of metal-based additive manufacturing (AM) processes, offering unprecedented capabilities for high-performance fabrication with complex geometries and near-net shapes. …”
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A to Z of ReLEx SMILE: All you need to know by Sanjana Vatsa, Pallavi Dhawan, Shana Sood

“…ReLEx SMILE (Refractive lenticule exchange - Small incision lenticule extraction) is a new generation of laser vision correction, performed using the Visumax femtosecond laser system (Carl Zeiss Meditec AG, Jena, Germany) for the correction of myopia and myopic astigmatism. …”
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MALDI-TOF mass spectrometry combined with machine learning algorithms to identify protein profiles related to malaria infection in human sera from Côte d’Ivoire by Fateneba Kone, Lucie Conrad, Jean T. Coulibaly, Kigbafori D. Silué, Sören L. Becker, Brama Kone, Issa Sy

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Two-dimensional cooling without repump laser beams through ion motional heating by Yue Xiao, Yongxu Peng, Linfeng Chen, Chunhui Li, Zongao Song, Xin Wang, Tao Wang, Yurun Xie, Bin Zhao, Tiangang Yang

“…We use two equivalent schemes, cooling laser detuning and ion trajectory imaging to measure the speed of the Be+ ions, with results accurately reproduced by molecular dynamics simulations based on a machine learned time-dependent electric field inside the trap. …”
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Photonic Chip Based on Ultrafast Laser-Induced Reversible Phase Change for Convolutional Neural Network by Jiawang Xie, Jianfeng Yan, Haoze Han, Yuzhi Zhao, Ma Luo, Jiaqun Li, Heng Guo, Ming Qiao

“…Highlights Programmable photonic chips based on ultrafast laser-induced phase change is fabricated for photonic computing. …”
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Video Interpolation-Based Multi-Source Data Fusion Method for Laser Processing Melt Pool by Hang Ren, Yuhui Zhang, Huaping Li, Yu Long

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