Supraharmonics monitoring based on VSSESP-DBP dynamic compressed sensing algorithm by Chao Yan, Hongtao Shen, Jie Yu, Peng Tao, Hongxi Wang, Ting Yang

“…At the reconstruction end, the VSSESP-DBP dynamic reconstruction algorithm is designed. …”
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Magnetic resonance imaging reconstruction algorithm under complex convolutional neural network in diagnosis and prognosis of cerebral infarction. by Jie Dong, Shujun Zhao, Yun Meng, Yong Zhang, Suxiao Li

“…Two image reconstruction methods, frequency domain reconstruction network (FDRN) and image domain reconstruction network (IDRN), were introduced based on the CCNN algorithm. …”
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Reconstruction of Highway Vehicle Paths Using a Two-Stage Model by Weifeng Yin, Junyong Zhai, Yongbo Yu

“…To address the challenge of multiple possible paths due to missing trajectory data, this study proposes a novel two-stage model for vehicle path reconstruction. In the first stage, a Gaussian Mixture Model (GMM) is integrated into a path choice model to estimate the mean and standard deviation of travel times for each road segment, utilizing an improved Expectation Maximization (EM) algorithm. …”
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Super‐resolution reconstruction algorithm for medical images by fusion of wavelet transform and multi‐scale adaptive feature selection by QiaoSu Wang, Qiaomei Ma

“…To better extract detailed features and enhance the cascading effects of different feature levels, we propose a novel medical image super‐resolution algorithm that integrates discrete wavelet transform and multi‐scale adaptive feature selection. …”
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Integral Imaging Based Optical Image Encryption Using CA-DNA Algorithm by Ying Wang, Xiao-Wei Li, Qiong-Hua Wang

“…Under the computational integral imaging-based security system, the application of Deoxyribonucleic Acid (DNA) encoding algorithm will cause silhouettes in the cipher image, thereby reducing the security of the system. …”
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Multi-agent maglev harmonic prediction algorithm based on integrated attention mechanism by WANG Zongyan, MAO Zhongya, HUANG Shize, GUO Qiyi

“…In this context, a superior alternative to traditional algorithms is a combined model that integrates deep learning algorithms. …”
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A systematic improvement of the high-quality temperature field reconstruction for acoustic pyrometry by Jingkao Tan, Na Li, Qulan Zhou, Yanyuan Hu, Lehang Chen, Zhongquan Gao, Jie Zhou

“…The fast finite-difference shooting method, the adaptive grid evolution strategy (AGES) and the radial basis function approximation with polynomial reproduction (RBFPR) were proposed and integrated into the sequential process optimization approach we concluded to systematically improve the reconstruction performance over the initial algorithm. …”
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Voxelwise characterization of noise for a clinical photon-counting CT scanner with a model-based iterative reconstruction algorithm by Luigi Masturzo, Patrizio Barca, Luca De Masi, Daniela Marfisi, Antonio Traino, Filippo Cademartiri, Marco Giannelli

“…Water phantom acquisitions were also performed on a conventional energy-integrating detector (EID) scanner with a sinogram/image-based iterative reconstruction algorithm, using similar acquisition/reconstruction parameters. …”
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Regularizing building outlines extracted from remote sensing images by integrating multiple algorithms by Min Yang, Renwei Zou, Tinghua Ai, Xiongfeng Yan

“…This study proposed an integrated regularization method to combine the strengths of multiple algorithms. 22 metrics were calculated to describe the geometric characteristic of outlines, followed by principal component analysis for selecting key metrics. …”
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Reconstruction for Rolling Bearing Vibration Signals Integrating 5G-NR-LDPC Codes and Weighted Compressed Sensing by Chao Wang, Hua Xu, Guangxing Ni, Wenjuan Shi

“…However, existing methods often struggle to achieve a balance between high compression and effective signal reconstruction. To tackle this challenge, we propose a novel algorithm known as the 5G-WCS algorithm, which integrates 5G New Radio Low-Density Parity-Check Codes (5G-NR-LDPC) with weighted compressed sensing (CS). …”
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Enhancing Heart Disease Diagnosis Using ECG Signal Reconstruction and Deep Transfer Learning Classification with Optional SVM Integration by Mostafa Ahmad, Ali Ahmed, Hasan Hashim, Mohammed Farsi, Nader Mahmoud

“…The proposed ECG segmentation algorithm introduces a distinct and original approach compared to prior research by integrating adaptive preprocessing, histogram-based lead separation, and robust point-tracking techniques into a unified framework. …”
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AI-enabled full-body dynamic avatar reconstruction using triboelectric smart clothing for metaverse applications by Chi Zhang, Lei Zhang, Yu Tian, Zhengang An, Bo Li, Dachao Li

“…Here, we propose AI-enabled smart clothing that seamlessly integrates triboelectric strain-sensing fibers (TSSFs) and AI algorithms with commercial fitness suits to achieve precise dynamic 3D reconstruction of body movement. …”
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Estimating ocean currents from the joint reconstruction of absolute dynamic topography and sea surface temperature through deep learning algorithms by D. Ciani, C. Fanelli, B. Buongiorno Nardelli

“…This modification allows us to evaluate the potential enhancement in the ADT and SST mapping while integrating dynamical constraints through tailored, physics-informed loss functions. …”
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Validation of a data-driven motion-compensated PET brain image reconstruction algorithm in clinical patients using four radiotracers by Ole L. Munk, Anders B. Rodell, Patricia B. Danielsen, Josefine R. Madsen, Mie T. Sørensen, Niels Okkels, Jacob Horsager, Katrine B. Andersen, Per Borghammer, Joel Aanerud, Judson Jones, Inki Hong, Sven Zuehlsdorff

“…This study validates a data-driven motion-compensated (MoCo) PET brain image reconstruction algorithm that corrects head motion by integrating the detected motion frames and their associated rigid body transformations into the iterative image reconstruction. …”
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Inclination information-aided circumferential deformation reconstruction error correction method for CFRP belt integrated with optical fiber sensor by Zhengfang Wang, Wenhao Li, Jing Wang, Jinqiao Cui

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Multiphase Transport Network Optimization: Mathematical Framework Integrating Resilience Quantification and Dynamic Algorithm Coupling by Linghao Ren, Xinyue Li, Renjie Song, Yuning Wang, Meiyun Gui, Bo Tang

“…Through dual-dataset validation using both the Baltimore road network and PeMS07 traffic flow data, we first develop a traffic simulation model integrating Dijkstra’s algorithm with capacity-constrained allocation strategies for guiding reconstruction planning for the collapsed Francis Scott Key Bridge. …”
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High resolution weld semantic defect detection algorithm based on integrated double U structure by Xiaoyan Li, Yi Wei, Zhigang Lv, Peng Wang, Liangliang Li, Mengyu Sun, Chu Wang

“…Firstly, the weld area was automatically extracted from the original X-ray films (3000+×800 + pixels) by the Gaussian positioning algorithm. Then, a multi-image hybrid stitching technology was proposed to reconstruct the long weld into a standard size of 1500 × 1500, which not only expanded the WSCR data set, but also effectively improved the data imbalance problem. …”
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Coalmine image super-resolution reconstruction via fusing multi-dimensional feature and residual attention network by Jian CHENG, Lifei MI, Hao LI, Heping LI, Guangfu WANG, Yongzhuang MA

“…To address issues such as the loss of edge texture information and blurring of details in coalmine images, a coalmine image super-resolution reconstruction method integrating multi-dimensional features and residual attention networks is proposed. …”
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Reconstruction of the object inhomogeneity parameters from near-field measurements in microwave tomography problem using neural networks by A.V. Medvedev, M.Yu. Medvedik

“…The problem posed is reduced to the Lippmann-Schwinger integral equation. A two-step algorithm is used to search for inhomogeneity. …”

A Pixilated Spectrometer Based on Single Liquid Crystal and Sparse Algorithm by Feiying Sun, Liangping Xia, Zheng Yang, Jun Cui, Ziyin Zhang, Chang bin Nie, Danjun Liu, Shaoyun Yin, Guoxing Zheng, Peng Wu, Ruofu Yang, Chunlei Du

“…The high spectrum resolution is obtained with the application of sparse representation of the nonnegative L1 minimization algorithm. By theoretical derivation, the physical model of the microspectrometer is set up, and the experimental results indicate the effectiveness of spectrum reconstruction with a spectrum resolution of about 0.2 nm.…”
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