Bearing Fault Identification Method Based on Collaborative Filtering Recommendation Technology by Guangbin Wang, Yinghang He, Yanfeng Peng, Haijiang Li

“…This method is used to identify and verify two types of fault data of rolling bearing: different position faults and different types of faults on the outer ring. …”
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HTML5-based graphic image processing and collaborative drawing technology by Yinghua Liang

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Low Signal-to-Noise Ratio Optoelectronic Signal Reconstruction Based on Zero-Phase Multi-Stage Collaborative Filtering by Xuzhao Yang, Hui Tian, Fan Wang, Jinping Ni, Rui Chen

“…To address this problem, this paper proposes a Multi-stage Collaborative Filtering Chain (MCFC) signal processing framework incorporating three key innovations: (1) the design of zero-phase FIR bandpass filtering with forward–backward processing and dynamic phase compensation mechanisms to effectively suppress phase distortion; (2) the implementation of a four-stage cascaded collaborative filtering strategy, combining adaptive sampling and anti-aliasing techniques to significantly enhance signal quality; and (3) the development of a multi-scale adaptive transform algorithm based on fourth-order Daubechies wavelets to achieve high-precision signal reconstruction. …”
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Application of a Dual-Stream Network Collaboratively Based on Wavelet and Spatial-Channel Convolution in the Inpainting of Blank Strips in Marine Electrical Imaging Logging Images:... by Guilan Lin, Sinan Fang, Manxin Li, Hongtao Wu, Chenxi Xue, Zeyu Zhang

“…To address this issue, this paper proposes an inpainting method using a dual-stream network based on the collaborative optimization of wavelet and spatial-channel convolution. …”
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Wavelet attention-based implicit multi-granularity super-resolution network by Chen Boying, Shi Jie

“…To achieve more efficient SR methods, this paper proposes a Wavelet Attention Network (WANet) for image SR. …”
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Spectroscopic detection of cotton Verticillium wilt by spectral feature selection and machine learning methods by Weinan Li, Weinan Li, Weinan Li, Lisen Liu, Jianing Li, Weiguang Yang, Weiguang Yang, Yang Guo, Yang Guo, Longyu Huang, Longyu Huang, Zhaoen Yang, Jun Peng, Jun Peng, Xiuliang Jin, Xiuliang Jin, Yubin Lan, Yubin Lan

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Collaborative probability based multimodel target identification in wireless sensor networks by SUN Xin-yao, WANG Xue, WANG Sheng

“…A collaborative probability based multimodel target identification method for the applications in wireless sen-sor networks was proposed.Wavelet package was used to extract the features of the target information sample,and in or-der to decrease the computing complexity and reserve the key information as well,feature compaction,which achieved by principal components analysis,was carried out before learning.Different types of Gaussian classifier were developed for classifier learning.To gain global optimal results,committee decision was employed to select and combine individual decisions with dynamically adjusted weights.The experiment results verified that the method introduced can adapt to the interference factor of the environment and can implement target identification accurately and stably.…”
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Exploring a novel approach to assessing surgical team collaboration: Evidence of brain activity synchronization by Shuyi (Kiana) Wang, Ghazal Hashemi, Yao Zhang, Bin Zheng

“…Results: fNIRS emerged as a non-invasive, cost-effective, and portable tool, predominantly used to assess IBS in pair-based tasks with a variety of participant demographics. Wavelet transform coherence was the primary method used for measuring synchronization, particularly in the prefrontal brain region. …”
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Correlation Between Co-Design and Psychological Need Satisfaction Based on fNIRs Hyperscanning by Yan Li, Junxian Chen, Wu Song

“…Previous studies have shown that co-design could better satisfy user needs in process and results, but there are few studies that have been empirically validated through neuroscience methods. Therefore, this study used fNIRS (functional near-infrared spectroscopy) to measure the brain blood oxygen data (HbO₂ & Hb) of both “designer” and “user” participants from design and non-design majors during traditional and co-design tasks. …”
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MFDAFF-Net: Multiscale Frequency-Aware and Dual Attention-Guided Feature Fusion Network for UAV Imagery Object Detection by Shu Tian, Bingxi Zhang, Lin Cao, Lihong Kang, Jing Tian, Xiangwei Xing, Bo Shen, Chunzhuo Fan, Kangning Du, Chong Fu, Ye Zhang

“…Comprehensive experimental evaluations conducted on the VisDrone2019 and UAVDT datasets demonstrate that MFDAFF-Net substantially outperforms existing state-of-the-art UAV imagery object detection methods.…”
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Wall Corrosion Testing of Nuclear Power Pipelines Based on EMAT by Jiahong JIANG, Fengjie SU, Xiaoming JIN, Yingjie SHI, Ke XU

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MSLI-Net: retinal disease detection network based on multi-segment localization and multi-scale interaction by Zhenjia Qi, Jin Hong, Jilan Cheng, Guoli Long, Hanyu Wang, Siyue Li, Shuangliang Cao

“…Additionally, a multi-segmented lesion localization module (LLM) is integrated within each branch of a modified feature pyramid network (FPN) to effectively extract critical features while suppressing background noise through parallel branch refinement, and a wavelet subband spatial attention module (WSSA) is designed to significantly improve the model’s overall performance in noise suppression by collaboratively processing and exchanging information between the low- and high-frequency subbands extracted through wavelet decomposition.ResultsExperimental evaluation on the OCT-C8 dataset demonstrates that MSLI-Net achieves 96.72% accuracy in retinopathy classification, underscoring its strong discriminative performance and promising potential for clinical application.ConclusionThis model provides new research ideas for the early diagnosis of retinal diseases and helps drive the development of future high-precision medical imaging-assisted diagnostic systems.…”
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Automated denoising techniques for sea surface temperature and salinity data from opportunity vessels: application to the Ocean Globe Race 2023-2024 by Nicolas Werner-Pelletier, Oriol Carrasco-Serra, Oriol Carrasco-Serra, Marta Umbert, Nina Hoareau, Jordi Salat, Thierry Reynaud

“…Until now, only manual methods have been successfully used to filter this data, since no automated procedure has been developed. …”
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Exploration of the causes of abnormal mold level fluctuation in thin slab continuous casting mold by Zhendong Wang, Rudong Wang, Jinrui Liu, Wenwen Yu, Gengyang Li, Heng Cui

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Hybrid Mamba for amphibious Limulidae low-light image enhancement by Lili Han, Xiuping Liu, Tao Xu, Yuangan Wang

“…This paper proposes a novel method for amphibious low-light image enhancement based on hybrid Mamba, which integrates wavelet transform, Discrete Cosine Transform (DCT), and Fast Fourier Transform (FFT) within the Mamba framework. …”
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Detection of Low-Flying Target under the Sea Clutter Background Based on Volterra Filter by Hongyan Xing, Yan Yan

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A secure and efficient deep learning-based intrusion detection framework for the internet of vehicles by Hasim Khan, Ghanshyam G. Tejani, Rayed AlGhamdi, Sultan Alasmari, Naveen Kumar Sharma, Sunil Kumar Sharma

“…Vision Transformer (ViT), wavelet transforms, and GAT ensure effective feature extraction, and a novel hybrid optimization known as Crayfish-Mother secure Optimization (CMSO) method is proposed to optimize feature selection to its maximum and reduce computational cost. …”
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Diabetes: Non-Invasive Blood Glucose Monitoring Using Federated Learning with Biosensor Signals by Narmatha Chellamani, Saleh Ali Albelwi, Manimurugan Shanmuganathan, Palanisamy Amirthalingam, Anand Paul

“…Photoplethysmography (PPG), a photosensitive method that detects blood volume variations, has shown promise for non-invasive glucose monitoring. …”
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Spatiotemporal patterns of wet–dry encounters between water source and receiving areas in the South-to-North water transfer project by Yuping Han, Jinhang Li, Mengdie Zhao

“…Abstract As global water scarcity becomes more acute, cross-basin water diversion projects, such as the South-to-North Water Diversion Project in China, need scientific risk assessment methods to ensure sustainable water allocation. This study proposes a coupling analysis framework based on Copula-Bayesian, which fills the gap in the systematic risk research of large-scale water transfer projects. …”
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A hybrid encryption framework leveraging quantum and classical cryptography for secure transmission of medical images in IoT-based telemedicine networks by Arslan Shafique, Syed Ali Atif Naqvi, Ali Raza, Masoud Ghalaii, Panagiotis Papanastasiou, Julie McCann, Qammer H. Abbasi, Muhammad Ali Imran

“…Abstract In the era of the Internet of Things (IoT), the transmission of medical reports in the form of scan images for collaborative diagnosis is vital for any telemedicine network. …”
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