Quantum Variational Autoencoder Based on Weak Measurements With Fuzzy Filtering of Input Data by Vyacheslav Korolyov, Maksim Ogurtsov, Oleksandr Khodsinskyi

“…The development of quantum computing and artificial intelligence necessitates the development of hybrid quantum-classical algorithms for solving complex computational problems. …”
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Designing pathways for bioproducing complex chemicals by combining tools for pathway extraction and ranking by Anastasia Sveshnikova, Omid Oftadeh, Vassily Hatzimanikatis

“…These subnetworks can be integrated into whole-cell models, allowing the reconstruction and ranking of alternative biosynthetic pathways based on yield, length, and other design goals. …”
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Enhancing Guided Wave Tomography for Improved DefectDetection in Critical Structures by Igor Sakhabiev, Maolin Li, Younho Cho, Young H Kim

“…This study evaluates two tomographic methodologies: the Reconstruction Algorithm for Probabilistic Inspection of Defects (RAPID) and the enhanced Density Clustering-RAPID (DC-RAPID). …”
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Advanced Braille recognition based on protein biomimetic skin mechanical sensors by Nianfeng Zhang, Ailing Yang, Andeng Liu, Guoxi Shao, Xixi Wang, Yingjin Luo, Zhihua Liu, Yating Shi, Na Li, Wenxi Guo, Wu Qiu, Dapeng Yang

“…The key to mimicking skin tactile perception is to address skin-like properties of materials and integration of biomimetic tactile functions. To be competent in bionic skin, composite silk fibroin (SF) films possessing high tensile properties (159.71 %) and hydrogels with elasticity (54.42 %) were prepared through a mesoscopic reconstruction strategy of SF materials, using fish scale gelatin molecules as mesoscopic templates to regulate the nucleation and crystallization kinetics of SF molecules. …”
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Application of photon-counting CT in cardiovascular diseases by WANG Mengzhen, BAO Shouyu, LIU Peng, YAN Fuhua, YANG Wenjie

“…The virtual non-contrast （VNC） algorithm supports reliable calcium scoring from contrast-enhanced images, further reducing the radiation dose. …”
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An AutoEncoder enhanced light gradient boosting machine method for credit card fraud detection by Lianhong Ding, Luqi Liu, Yangchuan Wang, Peng Shi, Jianye Yu

“…The method inherits the advantages of each component, using an AutoEncoder for feature reconstruction on the dataset, and integrating the LightGBM algorithm for improving the GBDT (Gradient Boosting Decison Tree) to detect abnormal data more accurately and efficiently. …”
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A Degradation Warning Method for Ultra-High Voltage Energy Devices Based on Time-Frequency Feature Prediction by Pinzhang Zhao, Lihui Wang, Jian Wei, Yifan Wang, Haifeng Wu

“…First, we enhance the symplectic geometric mode decomposition (SGMD) algorithm and introduce wavelet packet decomposition reconstruction before recombination, successfully isolating the prominent harmonics of leakage current. …”
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Lightweight anomaly detection model for UAV networks based on memory-enhanced autoencoders by HU Tianzhu, SHEN Yulong, REN Baoquan, HE Ji, LIU Chengliang, LI Hongjun

“…The hierarchical clustering algorithm was used to divide the composite statistical features, and the separated features were input to multiple small memory-enhanced autoencoders in the integrated architecture for independent training, which reduced the computational complexity and solved the problem of false negatives caused by the overfitting of the reconstruction effect of the traditional autoencoder. …”
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Automatic PID Control Strategy via Energy Dissipation for Tapping Mode Atomic Force Microscopy by Yuan Zhao, Sha-Sha Xiao, Ji-Rui Liu, Sen Wu

“…Additionally, systematic decomposition of interaction force is performed to enable the reconstruction of system transfer functions. The study in this work examines the fluctuations of PID gains during critical oscillations. …”
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基于Alpha Shapes三维重建原理的机器人工作空间求解方法 by 范启忠, 陈是扦, 刁燕, 罗华, 王强

“…The workspace is an important kinematics index of robot and workspace analysis of a surgical robot is a key link in structural optimization and surgery planning.First,the point cloud of workspace is generated by using the Monte Carlo method and the boundary extraction method of partitioning by angle is put forward to get the boundary points of the point cloud.On the basis of the boundary points,the Alpha Shapes algorithm is employed to reconstruct the workspace.Compared with conventional workspace surface solving method,this method has higher precision and better versatility,for it is convenient to adjust theαvalue according to different workspace types.Finally,the volume of the workspace is calculated with numerical integration method,a foundation for robot carrying out surgery is provided.…”
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Artificial Intelligence—What to Expect From Machine Learning and Deep Learning in Hernia Surgery by Robert Vogel, Björn Mück

“…This mini-review explores the integration of Artificial Intelligence (AI) within hernia surgery, highlighting the role of Machine Learning (ML) and Deep Learning (DL). …”
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AMNED: An Efficient Framework for Spiking Neuron Coding in AirComp Federated Learning by Juncheng Ji, Chan-Tong Lam, Ke Wang, Benjamin K. Ng

“…Motivated by these challenges, we introduce the AMNED framework to address these issues. By integrating spiking neural networks with memristive techniques, the proposed framework significantly improves signal reconstruction accuracy and energy utilization. …”
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SmoothDectector: A Smoothed Dirichlet Multimodal Approach for Combating Fake News on Social Media by Akinlolu Oluwabusayo Ojo, Fatma Najar, Nuha Zamzami, Hanen T. Himdi, Nizar Bouguila

“…In addition, our model demonstrates the powerful properties of generative models when integrated with neural network models. Our results underscore the potential of integrating a probabilistic algorithm with a deep neural network to address the challenges of fake news detection in a multimodal setting. …”
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A radiomics-clinical predictive model for difficult laparoscopic cholecystectomy based on preoperative CT imaging: a retrospective single center study by Rui-Tao Sun, Chang-Lei Li, Yu-Min Jiang, Ao-Yun Hao, Kui Liu, Kun Li, Bin Tan, Xiao-Nan Yang, Jiu-Fa Cui, Wen-Ye Bai, Wei-Yu Hu, Jing-Yu Cao, Chao Qu

“…A combination of radiomic and clinical features was selected using the Boruta-LASSO algorithm. Predictive models were constructed using six machine learning algorithms and validated, with model performance evaluated based on the AUC, accuracy, Brier score, and DCA to identify the optimal model. …”
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Phenotypic Trait Acquisition Method for Tomato Plants Based on RGB-D SLAM by Penggang Wang, Yuejun He, Jiguang Zhang, Jiandong Liu, Ran Chen, Xiang Zhuang

“…The vehicle is also equipped with the A * algorithm for autonomous navigation. To enhance the semantic representation of the point cloud map, we integrate the BiSeNetV2 network into the ORB-SLAM3 system as a semantic segmentation module. …”
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Unmanned aerial vehicle image stitching based on multi‐region segmentation by Weidong Pan, Anhu Li, Xingsheng Liu, Zhaojun Deng

“…Therefore, a novel image stitching method based on multi‐region image segmentation is proposed. The algorithm starts by performing a multi‐scale morphological reconstruction in the overlapping regions between UAV images to obtain superpixel images with precise contours. …”
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A dynamic key management and secure data transfer based on m-tree structure with multi-level security framework for Internet of vehicles by Hua Yi Lin, Meng-Yen Hsieh

“…This research provides a multilevel security infrastructure with M-tree based elliptic curve digital signature algorithm (ECDSA) for securing data transmission in both IoV and cloud environments. …”
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An Underwater Stereo Matching Method: Exploiting Segment-Based Method Traits without Specific Segment Operations by Xinlin Xu, Huiping Xu, Lianjiang Ma, Kelin Sun, Jingchuan Yang

“…In underwater images, irregular object surfaces and the absence of texture information make it difficult for stereo matching algorithms that rely on discrete disparity values to accurately capture the 3D details of underwater targets. …”
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Terahertz Spectroscopy for Food Quality Assessment: A Comprehensive Review by Jie Yang, Xue Bai, Mingji Wei, Hui Jiang, Leijun Xu

“…In this paper, we systematically review the principles of terahertz spectroscopy and its key applications in food testing, focusing on its research progress in pesticide residues, additives, biotoxins, and mold, adulteration identification, variety identification, and nutrient content detection. By integrating spectral data preprocessing, reconstruction algorithms, and machine learning model optimization strategies, this paper further analyzes the advantages and challenges of this technology in enhancing detection accuracy and efficiency. …”
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High-fidelity tissue super-resolution imaging achieved with confocal2 spinning-disk image scanning microscopy by Qianxi Liang, Wei Ren, Boya Jin, Liang Qiao, Xichuan Ge, Yunzhe Fu, Xiaoqi Lv, Meiqi Li, Peng Xi

“…A digital micromirror device (DMD) is employed for sparse multifocal illumination, combined with a dynamic pinhole array pixel reassignment (DPA-PR) algorithm for ISM super-resolution reconstruction, forming the second confocal level. …”
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