Kriging-Based Time-Variant Reliability Analysis Incorporating Error Distance Function and First Crossing Time Point by Fuhong Yu, Xiao Wu, Shui Yu

“…To address the time-variant reliability (TVR) issue during a structure’s life cycle, we propose an innovative Kriging method named EDFK-FCTP. …”
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Modeling the impact of climate change on corvus species distribution in Somaliland: Bayesian spatial point process approach for conservation by Abdisalam Hassan Muse, Maysaa Elmahi Abd Elwahab

“…Conversely, the model revealed highly influential and statistically significant spatially structured (autocorrelation) and unstructured random effects. …”
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A Study on Surface Anomaly Detection for Metro Vehicle Underbody Parts Based on 3D Point Cloud by PENG Liantie, LI Chen, XIONG Minjun, YAN Jiayun, CUI Xiaoyang, LIU Leixinyuan

“…This method adopts point cloud preprocessing, point cloud registration, etc., and can detect changes in the depth information of the surface of subway underbody rigid structure components. …”
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LGFaware-meshing: online mesh reconstruction from LiDAR point cloud with awareness of local geometric features by Yaoqian Niu, Hao Chen, Jun Li, Chun Du, Jiangjiang Wu, Yunsheng Zhang

“…For planar regions, we propose a two-step points decimation and mesh reconstruction algorithm to reduce data redundancy based on the observation that the geometric structure of these regions is simple and can be represented by a few key vertices and triangles. …”
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LOCAL GASTRONOMIC POINTS AS PART OF SUSTAINABLE AGRITOURISM AND YOUNG PEOPLE'S PERCEPTION OF IT. CASE STUDY, SIBIU COUNTY, ROMANIA by Mirela STANCIU, Agatha POPESCU, Cristian STANCIU, Sonia POPA

“…In this paper there are presented the number of local gastronomic points established in the mountain area of Sibiu County, Romania, the number of local producers registered under the optional "mountain product" quality scheme and the number of tourist structures with accommodation function and their accommodation capacity, from the same localities. …”
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Les points de contrôle routier en Guyane française : des postes-frontières comme les autres ? by Thierry Nicolas

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Analysis of seismicity in the Haicheng-Xiuyan region based on dense array data and deep learning methodsKey points by Zemin Liu, Weitao Wang, Lu Li, Zihao Li, Ziye Yu, Songyong Yuan, Lanshu Bai

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Arduino-based portable point-of-care colorimetric glucose biosensor using nanozyme with enhanced peroxidase-like activity by Ola G. Hussein, Amr M. Mahmoud, Aya A. Mouhamed, Yan Dou, Qiong Nian, Nardine Safwat

“…Developing nanozymes with well-defined porous structures and heteroatom doping is key to improving catalytic efficiency and selectivity particularly for applications in biosensing. …”
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Point Cloud Segmentation Based on the Uniclass Classification System with Random Forest Algorithm for Cultural Heritage Buildings in the UK by Aleksander Gil, Yusuf Arayici

“…This paper presents an advanced hierarchical classification framework using the Random Forest (RF) algorithm to segment and classify large-scale point clouds of heritage buildings. By integrating the Uniclass classification system into a multi-resolution workflow, the research addresses key challenges in point cloud classification, including class imbalance, computational constraints, and semantic overlap at coarse resolutions. …”
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High-Speed and Wideband Frequency-Hopping Microwave Signal Generation via Switching the Bias Point of an Optical Modulator by Yang Chen

“…By switching the bias point of the DD-MZM between the quadrature transmission point and the minimum transmission point, frequency hopping between two frequencies can be realized with an ultra-high frequency-hopping speed and a very wide bandwidth. …”
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Scan-to-HBIM: automated transformation of point clouds into 3D BIM models for the digitization and preservation of historic buildings by Pablo Ariel Escudero

“…This innovative approach not only enhances the accuracy in representing historic buildings but also significantly amplifies the level of detail (LoD), enabling a more nuanced representation of architectural structures. The article delves into the Scan-to-HBIM process, elucidating its relevance in the broader context of digitization and preservation of historic buildings, with a particular focus on its application to a sample point cloud. …”
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A machine learning approach to predict tight-binding parameters for point defects via the projected density of states by Henry Phillip Fried, Daniel Barragan-Yani, Florian Libisch, Ludger Wirtz

“…Abstract Calculating the impact of point defects on the macroscopic properties of technologically relevant semiconductors remains a considerable challenge. …”
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Fixed Point Results for Fuzzy Enriched Contraction in Fuzzy Banach Spaces with Applications to Fractals and Dynamic Market Equillibrium by Muhammad Shaheryar, Fahim Ud Din, Aftab Hussain, Hamed Alsulami

“…Our investigation establishes both the presence and uniqueness of fixed points considering this broad category of operators using a Krasnoselskij iterative scheme for their approximation. …”
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PLY-SLAM: Semantic Visual SLAM Integrating Point–Line Features with YOLOv8-seg in Dynamic Scenes by Huan Mao, Jingwen Luo

“…Subsequently, we introduce Delaunay triangulation to construct the geometric relationships between map points, detect dynamic feature points by matching changes in the topological structure of feature points in adjacent frames, and combine them with the instance labels provided by the YOLOv8-seg to accurately remove dynamic feature points. …”
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Ciric fixed point theorems of $ \mathtt{£} $-fuzzy soft set-valued maps with applications in fractional integral inclusions by Maliha Rashid, Akbar Azam, Maria Moqaddas, Naeem Saleem, Maggie Aphane

“…This manuscript established the concept of $ b $-Ciric $ \mathtt{£} $-fuzzy soft contractions (BCLFSC) within $ b $-metric spaces, presenting a framework to analyze fixed points of $ \mathtt{£} $-fuzzy soft set-valued mappings under these conditions. …”
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Isotope Substitution and Polytype Control for Point Defects Identification: The Case of the Ultraviolet Color Center in Hexagonal Boron Nitride by J. Plo, A. Pershin, S. Li, T. Poirier, E. Janzen, H. Schutte, M. Tian, M. Wynn, S. Bernard, A. Rousseau, A. Ibanez, P. Valvin, W. Desrat, T. Michel, V. Jacques, B. Gil, A. Kaminska, N. Wan, J. H. Edgar, A. Gali, G. Cassabois

“…Unintentional defects can also be detrimental to the crystalline structure and hinder the development of novel materials. …”
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Growth of complex oxide single crystals with high melting point over 2200 °C using tungsten crucible by Yuui Yokota, Takahiro Suda, Takahiko Horiai, Akira Yoshikawa

“…Abstract Complex oxide single crystals with melting points (MPs) above 2200 °C cannot be grown from the melt using iridium (Ir) or platinum (Pt) crucibles due to the MP limitations of these materials. …”
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Irregular seeds DEM parameters prediction based on 3D point cloud and GA-BP-GA optimization by Yuling Shao, Qing Wang, Hao Sun, Xinting Ding

“…In this study, seeds of cucumber, pepper, and tomato were seen as examples. A 3D point cloud reconstruction method based on Structure-from-Motion Multi-View Stereo (SfM-MVS) was employed to accurately extract 3D models of small and irregularly shaped seeds. …”
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A Reflective Terahertz Point Source Meta-Sensor with Asymmetric Meta-Atoms for High-Sensitivity Bio-Sensing by Luwei Zheng, Kazuki Hara, Hironaru Murakami, Masayoshi Tonouchi, Kazunori Serita

“…The reflective resonance response demonstrated dependence on several aspects, including structure asymmetricity, geometrical size, excitation point position, thickness and array-period arrangement. …”
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GCML: Geometric Correlation Encoding Network With Multi-Scale Local Feature Extraction for Accurate Point Cloud Registration by Jinlei Zhuang, Ziteng Wang, Weiqiang Ma

“…For the first problem, GCML develops a geometric correlation encoding module (GCEM) that draws inspiration from the Denavit-Hartenberg (DH) modeling method in robotics to effectively encode the geometric correlations between each pair of points within point clouds. This method substantially captures rich geometric structure information inherent in point clouds, thereby improving registration accuracy. …”
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