Enhanced gap-filling for satellite-derived crop monitoring using temperature-driven reconstruction techniques by Flavian Tschurr, Lukas Valentin Graf, Achim Walter, Helge Aasen

“…Our approach requires fewer satellite observations compared to traditional remote sensing time series algorithms, making it suitable for agricultural areas with high cloud cover. …”
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A factor analysis based automatic optimization method of vibration sensor points for ship acoustic reconstruction by Linchang Ye, Yun Liu, Zongpeng Tong, Zhaowang Xia, Wenkun Fan, Chunyu Zhang, Junhua Guo, Jianping Shen

“…The results show that the automatic optimization algorithm can improve the reconstruction accuracy concerning the uniform distribution method. …”
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Simulation study of muon localization based on the LSTM regression algorithm by ZHANG Haifeng, LUO Siyuan, LIU Xiangman, HE Lie, XIAO Wancheng, YIN Longxiang, WANG Ke, ZOU Yuchen, LIU Yuchen, WANG Xiaodong

“…BackgroundFacilitating object imaging through the utilization of cosmic-ray muons mandates the precise delineation of muon trajectories, where the pinpoint localization of muon impact points assumes paramount importance for effective muon track reconstruction. Existing muon track detection systems necessitate the integration of multifaceted electronic channels to attain meticulous positioning of muon impact points. …”
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3D Film Animation Image Acquisition and Feature Processing Based on the Latest Virtual Reconstruction Technology by Siwei Wu, Shan Xiao, Yihua Di, Cheng Di

“…The experimental results show that the algorithm reconstructs faces with high realism and accuracy, and the algorithm can reconstruct expression faces.…”
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Ground-Level Surface Reconstruction and Soil Volume Estimation in Construction Sites Using Marching Cubes Method by Fattah Hanafi Sheikhha, Jaho Seo, Hanmin Lee

“…To address these gaps, we present a novel framework integrating curve approximation, surface reconstruction, and marching cubes algorithm to transform raw sensor data into a detailed and computationally efficient soil surface representation. …”
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Reinforcement learning-based dynamic field exploration and reconstruction using multi-robot systems for environmental monitoring by Thinh Lu, Divyam Sobti, Deepak Talwar, Wencen Wu

“…Our approach integrates a reinforcement learning-based path planning algorithm to guide the multi-robot formation in identifying diffusion sources, with a clustering-based method for destination selection once a new source is detected, to enhance coverage and accelerate exploration in unknown environments. …”
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MM-VSM: Multi-Modal Vehicle Semantic Mesh and Trajectory Reconstruction for Image-Based Cooperative Perception by Márton Cserni, András Rövid, Zsolt Szalay

“…This paper proposes an improved multi-modal method integrating LiDAR-based shape references into a previously mono-camera-based semantic vertex reconstruction framework to enable robust and cost-effective monocular and cooperative pose estimation after the reconstruction. …”
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Reconstruction of the Intrarenal Vascular Tree From μ-CT Scans of Corrosion Cast Specimens by Katarzyna Heryan

“…Visual inspection confirmed that the algorithm effectively addressed discontinuities and preserved anatomical integrity. …”
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Modélisation HBIM d’héritages culturels. Le cas de l’huilerie amazighe de Toujane by Abidi Zayneb, Claeys Damien, Belcadhi Ferdaws, Vandenbroucke David

“…Une méthode de modélisation HBIM est proposée pour identifier les lacunes archéologiques et intégrer des données de différentes sources, à l’aide d’outils et d’algorithmes avancés.…”
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DISCERN: deep single-cell expression reconstruction for improved cell clustering and cell subtype and state detection by Fabian Hausmann, Can Ergen, Robin Khatri, Matteo Marouf, Sonja Hänzelmann, Nicola Gagliani, Samuel Huber, Pierre Machart, Stefan Bonn

“…DISCERN can be easily integrated into existing single-cell sequencing workflow. …”
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SC-GROG followed by L+S reconstruction with multiple sparsity constraints for accelerated Golden-angle-radial DCE-MRI. by Faisal Najeeb, Kashif Amjad, Irfan Ullah, Hammad Omer

“…Furthermore, convergence analysis shows that integration of MFISTA-VA in L+S reconstruction provides faster convergence compared to conventional L+S reconstruction.…”
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Three-Dimensional Pulsed-Laser Imaging via Compressed Sensing Reconstruction Based on Proximal Momentum-Gradient Descent by Han Gao, Guifeng Zhang, Min Huang, Yanbing Xu, Yucheng Zheng, Shuai Yuan, Huan Li

“…However, traditional CS-based methods suffer from insufficient range resolutions and poor reconstruction quality at low CS sampling ratios. To solve the CS reconstruction problem under the time-of-flight (TOF)-based pulsed-laser imaging framework, a CS algorithm based on proximal momentum-gradient descent (PMGD) is proposed in this paper. …”
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Oscillatory Forward-Looking Sonar Based 3D Reconstruction Method for Autonomous Underwater Vehicle Obstacle Avoidance by Hui Zhi, Zhixin Zhou, Haiteng Wu, Zheng Chen, Shaohua Tian, Yujiong Zhang, Yongwei Ruan

“…Furthermore, the method is integrated with the Ego-Planner path planning algorithm and nonlinear Model Predictive Control (MPC) algorithm, creating a comprehensive underwater 3D perception, planning, and control system. …”
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Reinforcement learning-based vehicle travel path reconstruction from sparse automatic licence plate recognition data by Qiuping Li, Hui Meng, Li Zhuo

“…Then, a comprehensive reward function is formulated by integrating destination rewards. Finally, the Q-learning algorithm is utilized to reconstruct vehicle travel paths between adjacent ALPR sensors based on the comprehensive reward function. …”
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Continuous Nondestructive Monitoring Method Using the Reconstructed Three-Dimensional Conductivity Images via GREIT for Tissue Engineering by Sujin Ahn, Hun Wi, Tong In Oh, Alistair Lee McEwan, Sung Chan Jun, Eung Je Woo

“…In order to overcome the limitation of microscopic electrical impedance tomography (micro-EIT), we applied a 3D-specific container with a fixed boundary geometry and electrode configuration to maximize the performance of Graz consensus reconstruction algorithm for EIT (GREIT). The separation of driving and sensing electrodes allows us to simplify the hardware complexity and obtain higher measurement accuracy from a large number of small sensing electrodes. …”
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Dynamic Demodulation Algorithm for Bio-radar Sensors Based on Range Tapper by Changyu LIU, Hao ZHANG, Fanglin GENG, Zhongrui BAI, Peng WANG, Zhenfeng LI, Lidong DU, Xianxiang CHEN, Zhen FANG

“…To address these reasons, we propose an algorithm architecture featuring range tap reconstruction and dynamic demodulation. …”
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Multi-photon neuron embedded bionic skin for high-precision complex texture and object reconstruction perception research by Hongyu Zhou, Chao Zhang, Hengchang Nong, Junjie Weng, Dongying Wang, Yang Yu, Jianfa Zhang, Chaofan Zhang, Jinran Yu, Zhaojian Zhang, Huan Chen, Zhenrong Zhang, Junbo Yang

“…We demonstrate that combining the signals collected by the OMAS with appropriate artificial intelligence algorithms enables the recognition of objects with different hardnesses and shapes with 100% accuracy. …”
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Marker-Less Navigation System for Anterior Cruciate Ligament Reconstruction with 3D Femoral Analysis and Arthroscopic Guidance by Shuo Wang, Weili Shi, Shuai Yang, Jiahao Cui, Qinwei Guo

“…The system’s two-stage registration framework, combining SIFT-ICP algorithms, achieves accurate alignment between preoperative models and arthroscopic views. …”
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Fast Backprojection Filtration Algorithm in Circular Cone-Beam Computed Tomography by Xianchao Wang, Yong Zhang, Xingyong Hong, Honghai Wang

“…In order to meet the heavy backprojection calculation of the backprojection filtration (BPF) algorithm in circular cone-beam computed tomography (CT), a fast backprojection method is developed, which uses the integral operator of the fixed scanning angle integral interval. …”
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Segmentation of Stone Slab Cracks Based on an Improved YOLOv8 Algorithm by Qitao Tian, Runshu Peng, Fuzeng Wang

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