AUTOMATED BIM ENTITY RECONSTRUCTION FROM UNSTRUCTURED 3D POINTCLOUDS by Jan Voříšek, Bořek Patzák, Edita Dvořáková, Daniel Rypl

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Criminal Trajectory Reconstruction Method Based on a Mobile Reference System by Zhengyan Ding, Yan Lin, Xin Wei Li, Cheng Rui Gu, Qi Yan Ying

“…The goal is to dynamically balance safety and danger perception anchor points, integrating travel distance to reconstruct trajectories that align with the anti-surveillance behavior of criminals. …”
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Numerical Background-Oriented Schlieren for Phase Reconstruction and Its Potential Applications by Shiwei Liu, Yichong Ren, Haiping Mei, Zhiwei Tao, Shuran Ye, Xiaoxuan Ma, Ruizhong Rao

“…This framework integrates two stages: forward modeling, using ray tracing to simulate image degradation, and inverse processing, using optical flow and a conjugate gradient algorithm to extract displacements and reconstruct phase information. …”
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HSI Reconstruction: A Spectral Transformer With Tensor Decomposition and Dynamic Convolution by Le Sun, Xihan Ma, Xinyu Wang, Qiao Chen, Zebin Wu

“…Conversely, traditional iterative optimization algorithms are built upon sound mathematical derivations. …”
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Integrated unitarity for scattering amplitudes and the four-loop ladder Feynman integral by Piotr Bargieła

“…Abstract We consider multi-loop scattering amplitudes in dimensionally regularized Quantum Field Theory. We present an algorithmic way of reconstructing them from their cuts. …”
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Optimized bio-signal reconstruction and watermarking via enhanced fractional orthogonal moments by Gaber Hassan, Khalid M. Hosny, Islam S. Fathi

“…We introduce an improved computational framework with three main scientific contributions as development of an optimized set of three interrelated second-order recurrence equations for normalized FrTMs, implementation of the Schwarz-Rutishauser algorithm as an alternative to classical QR decomposition methods, maintaining orthogonality with substantially lower computational overhead; and integration of these innovations into a comprehensive system for biomedical signal reconstruction and watermarking. …”
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Research on projection light field encoding and reconstruction based on parallel camera arrays by Feng Zhang, Xi Wang, Zhou Shi Shi, Chang Pei Ma, Xiao Yu Jiang

“…Furthermore, by integrating ray tracing principles, the algorithm enables sampling with a sparse camera array, facilitating high-fidelity 3D reconstruction. …”
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A crack detection and quantification method using matched filter and photograph reconstruction by Liu Zhen-liang, Zhou An, Ran Xin-ru, Wu Yun-peng, Zhao Wei-gang, Zhang Hao

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Reciprocity evaluation based adaptive CCM reconstruction in FDD multi-antenna systems by Fangyuan Liao, Yuhan Ruan, Hangyu Zhang, Rui Zhang, Tao Li, Yongzhao Li

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Research on 3D reconstruction of strongly reflected surface based on structured light by XUE Feng, CHEN Long, ZHANG Feng-feng

“…In order to solve the problems of lack and low accuracy of 3D reconstruction due to saturation of strong reflection of workpiece surface, a method combining phase fusion and multi-frequency heterodyne algorithm is proposed in this paper. …”
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Research on Viewpoints Planning for Industrial Robot-Based Three-Dimensional Sculpture Reconstruction by Zhen Zhang, Changcai Cui, Guanglin Qin, Hui Huang, Fangchen Yin

“…The results indicate that the proposed method enhances reconstruction integrity and overall quality while maintaining high efficiency, making it a viable approach for high-precision 3D surface inspection tasks.…”
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Secondary System Fault Detection Method Based on Association Rules and Reconstruction Error by Yang WANG, Weidong MA, Jiming LIU, Boshi WANG, Kai YAO, Wei HAN, Juan YU

“…Therefore this paper proposes a secondary system fault detection method based on association rules and reconstruction errors. Firstly, the Apriori algorithm is used to derive the association rules between fault alarm information and fault devices in the logic circuit, achieving rapid diagnosis of logic circuit faults. …”
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Inverse Rendering of Near-Field mmWave MIMO Radar for Material Reconstruction by Nikolai Hofmann, Vanessa Wirth, Johanna Braunig, Ingrid Ullmann, Martin Vossiek, Tim Weyrich, Marc Stamminger

“…To avoid bias from conventional radar image reconstruction algorithms in the optimization process, we directly derive gradients from raw radar outputs, resulting in more accurate material characterization. …”
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Improving 3D Reconstruction Through RGB-D Sensor Noise Modeling by Fahira Afzal Maken, Sundaram Muthu, Chuong Nguyen, Changming Sun, Jinguang Tong, Shan Wang, Russell Tsuchida, David Howard, Simon Dunstall, Lars Petersson

“…Our noise model seamlessly integrates with well-known classical and modern neural rendering-based algorithms, from KinectFusion to Point-SLAM methods using bilinear interpolation as well as 3D analytical functions. …”
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An Integrated Spatial-Spectral Denoising Framework for Robust Electrically Evoked Compound Action Potential Enhancement and Auditory Parameter Estimation by Fan-Jie Kung

“…This study proposes a two-stage preprocessing denoising (TSPD) algorithm to address this issue and enhance ECAP signals. …”
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Algorithm of Cardiomagnetic Signal Evaluation: "Magnetocardiographic Lead" by Mykhailo Primin, Igor Nedayvoda

“…To implement the method, procedures for normalization and standardization of the position of nodal points and durations of the corresponding time intervals of the averaged cardiocycles have been developed. An algorithm and criteria for selecting observation points for constructing the distribution of the integral characteristic have been developed. …”
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Triplet Spatial Reconstruction Attention-Based Lightweight Ship Component Detection for Intelligent Manufacturing by Bocheng Feng, Zhenqiu Yao, Chuanpu Feng

“…Unlike existing attention mechanisms that focus on either spatial reconstruction or channel attention independently, the proposed TSA integrates triplet parallel processing with spatial feature separation–reconstruction techniques to achieve enhanced target feature representation while significantly reducing parameter count and computational overhead. …”
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Rényi Entropy-Based Shrinkage with RANSAC Refinement for Sparse Time-Frequency Distribution Reconstruction by Vedran Jurdana

“…Experimental validation on both synthetic and real-world electroencephalogram (EEG) signals demonstrates that the proposed method achieves superior reconstruction accuracy, enhanced auto-term continuity, and improved robustness compared to the original RTwIST and several state-of-the-art algorithms.…”
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Optimization of the Canopy Three-Dimensional Reconstruction Method for Intercropped Soybeans and Early Yield Prediction by Xiuni Li, Menggen Chen, Shuyuan He, Xiangyao Xu, Panxia Shao, Yahan Su, Lingxiao He, Jia Qiao, Mei Xu, Yao Zhao, Wenyu Yang, Wouter H. Maes, Weiguo Liu

“…This study presents an integrated 3D reconstruction framework, spanning image acquisition, point cloud generation, and structural parameter extraction, effectively enabling early and precise yield prediction for intercropped soybeans. …”
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A 3D reconstruction platform for complex plants using OB-NeRF by Sixiao Wu, Changhao Hu, Boyuan Tian, Yuan Huang, Shuo Yang, Shanjun Li, Shengyong Xu

“…An exposure adjustment phase was integrated to improve the algorithm's robustness in uneven lighting conditions. …”
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