PHYSIOTHERAPY MANAGEMENT IN PATIENTS IN THE EARLY POSTOPERATIVE PERIOD IN THE ORTHOPAEDIC-TRAUMALOGICAL PRACTICE by Denitsa Vasileva

“…In the course of orthopedic practice, the main role of the multidisciplinary team is the rapid and reliable reconstruction of the anatomical integrity of the bone as a condition for ensuring rapid functional recovery, but the effect of psycho-emotional trauma on the rehabilitation process is often underestimated. …”
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Level Set Method for Positron Emission Tomography by Tony F. Chan, Hongwei Li, Marius Lysaker, Xue-Cheng Tai

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Improved Phase Diversity Wavefront Sensing with a Deep Learning-Driven Hybrid Optimization Approach by Yangchen Wang, Ming Wen, Hongcai Ma

“…The deep learning model provides an initial estimate of wavefront aberrations, which is further refined by the L-BFGS optimization algorithm to achieve high-precision reconstruction. …”
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Energy-Balanced Data Gathering and Aggregating in WSNs: A Compressed Sensing Scheme by Xiaofei Xing, Dongqing Xie, Guojun Wang

“…We also design a data reconstruction algorithm to perform data recovery tasks by utilizing the orthogonal matching pursuit theory, which helps to reconstruct the original data accurately and effectively at sink node. …”
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ADVANCEMENTS AND EMERGING PERSPECTIVES IN MICROSCOPIC IMAGING

“…Illustrative examples that will be presented would include the application of biosensors and optogenetic tools for functional imaging in neural tissues, the integration of deep learning algorithms with high-resolution imaging for analysis of murine organs, and the tracking of colon and breast cancer cells using label-free modalities that bridge histopathology and radiology, to improve diagnosis and therapy. …”
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UAV coal-rock recognition and 3D coal seam model dynamic correction technology in open-pit mine by Jie Yuan, Guangwei Liu, Senlin Chai, Weiqiang Guo, Yunlong Huang

“…The model is then dynamically corrected through a TIN update and growth reconstruction algorithm, continuously improving the accuracy of the coal seam 3D model. …”
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Enhanced Noise Suppression in Partial Discharge Signals via SVD and VMD with Wavelet Thresholding by Hailong Wang, Yongliang Yao, Guangdong Zhang, Jidong Pan, Longlong Gao, Hai Jin, Chuang Wang

“…This article introduces an advanced denoising algorithm integrating SVD, variational mode decomposition (VMD), and wavelet thresholding to effectively address mixed noise in on-site power transformer assessments. …”
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AI-Driven fetal distress monitoring SDN-IoMT networks. by Amin Ullah, Qazi Mazhar Ul Haq, Zabeeh Ullah, Jaroslav Frnda, Muhammad Shahid Anwar

“…Software-defined networking (SDN) is a powerful solution for efficiently managing and controlling IoMT. Additionally, the integration of artificial intelligence such as Deep Learning (DL) algorithms brings intelligence and decision-making capabilities to SDN-IoMT systems. …”
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YOLOv8n-WSE-Pest: A Lightweight Deep Learning Model Based on YOLOv8n for Pest Identification in Tea Gardens by Hongxu Li, Wenxia Yuan, Yuxin Xia, Zejun Wang, Junjie He, Qiaomei Wang, Shihao Zhang, Limei Li, Fang Yang, Baijuan Wang

“…The integration of the Efficient Multi-Scale Attention Module with Cross-Spatial Learning enables the model to have more flexible global attention. …”
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Unified Dynamic Dictionary and Projection Optimization With Full-Rank Representation for Hyperspectral Anomaly Detection by Hongran Li, Chao Wei, Yizhou Yang, Zhaoman Zhong, Ming Xu, Dongqing Yuan

“…Experimental results on several hyperspectral datasets demonstrate that the proposed algorithm excels in anomaly detection tasks, offering new insights and approaches for HAD.…”
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Artificial intelligence driven Mid-IR photoimaging device based on van der Waals heterojunctions of black phosphorus by Wang Ziqian, Wang Huide, Wang Chen, Bao Yushuo, Zheng Weiying, Weng Xiaoliang, Zhu Yihan, Liu Yi, Zhang Yule, Tian Xilin, Sun Shuo, Cao Rui, Shi Zhe, Chen Xing, Qiu Meng, Wang Hao, Liu Jun, Chen Shuqing, Zeng Yu-Jia, Liao Wugang, Huang Zhangcheng, Li Haiou, Gao Lingfeng, Li Jianqing, Fan Dianyuan, Zhang Han

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Scalable Hyperspectral Enhancement via Patch-Wise Sparse Residual Learning: Insights from Super-Resolved EnMAP Data by Parth Naik, Rupsa Chakraborty, Sam Thiele, Richard Gloaguen

“…The spectral and spatial characteristics of the scene encoded in the dictionary enable reconstruction through a first-order optimization algorithm to ensure an efficient sparse representation. …”
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Real-Time Geo-Localization for Land Vehicles Using LIV-SLAM and Referenced Satellite Imagery by Yating Yao, Jing Dong, Songlai Han, Haiqiao Liu, Quanfu Hu, Zhikang Chen

“…Existing Simultaneous Localization and Mapping (SLAM) algorithms provide precise local pose estimation and real-time scene reconstruction, widely applied in autonomous navigation for land vehicles. …”
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Cardiac computed tomography: Current practice, guidelines, applications, and prospects by Yu-Tai Shih, Jia-Hao Zhou, Jong-Kai Hsiao

“…It explores the role of these technologies in enhancing diagnostic accuracy, such as through detailed three-dimensional reconstructions and minimized imaging artifacts. Furthermore, it highlights the integration of machine learning to automate complex imaging analysis and photon-counting CT, which promises higher resolution and further dose reduction. …”
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High spatiotemporal resolution vegetation FAPAR estimation from Sentinel-2 based on the spectral invariant theory by Yunzhu Tao, Naijie Peng, Wenjie Fan, Xihan Mu, Husi Letu, Run Ma, Siqi Yang, Qunchao He, Dechao Zhai, Huangzhong Ren

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Multistep Degradation Tendency Prediction for Aircraft Engines Based on CEEMDAN Permutation Entropy and Improved Grey–Markov Model by Wei Jiang, Jianzhong Zhou, Yanhe Xu, Jie Liu, Yahui Shan

“…And then, because of high speed and excellent performance, CEEMDAN algorithm is specifically employed to decompose the generated IDI series to eliminate the potential influence of stochastic fluctuations. …”
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Dna-storalator: a computational simulator for DNA data storage by Gadi Chaykin, Omer Sabary, Nili Furman, Dvir Ben Shabat, Eitan Yaakobi

“…Keywords: DNA data storage, DNA storage simulator, reconstruction algorithms, clustering algorithms, DNA sequencing errors, DNA synthesis errors, DNA-based data storage…”
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HybridFormer: a convolutional neural network-Transformer architecture for low dose computed tomography image denoising by Shanaz Sharmin Jui, Zhitao Guo, Rending Jiang, Jiale Liu, Bohua Li

“…Traditional techniques like sinogram domain filtration and iterative reconstruction algorithms require inaccessible raw data. …”
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Real-Time Sensor for Measuring the Surface Temperature of Thermal Protection Structures Based on the Full-Time Domain Temperature Inversion Method by Yuhao Liu, Xiong Zhao, Xiangyu Wei, Pengyu Nan, Fan Zhou, Guoguo Xin, Kok-Sing Lim, Yupeng Zhang, Hangzhou Yang

“…This study proposes an effective approach for real-time temperature reconstruction by integrating embedded sensor arrays with an enhanced full-time domain inversion algorithm, utilizing the overlapping sliding window method. …”
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An Analog Sensor Signal Processing Method Susceptible to Anthropogenic Noise Based on Improved Adaptive Singular Spectrum Analysis by Zhengyang Gao, Shuangchao Ge, Jie Li, Wentao Huang, Kaiqiang Feng, Chenming Zhang, Chunxing Zhang, Jiaxin Sun

“…This paper proposes an improved adaptive singular spectrum analysis (ASSA) algorithm that integrates a deep residual network (Res-Net) for automatic recognition. …”
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