Lei Zhao

EP-Net: An Equipment-Guided Dual-Stream CNN–Transformer Network for Fine-Grained Sports Image Classification

Xiaocui Sang, Changwei Gu, Lei Zhao

Fine-grained sports recognition from static images is challenging because visually similar sports often exhibit nearly identical human poses, whereas their decisive differences are encoded by small-scale equipment and subtle human–equipment interactions. Existing single-stream convolutional or Transformer-based models tend to emphasize either local …

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A Dual-Stage Cascade Authentication Architecture for Open-Set Wood Identification via In Situ Raman and Baseline Morphological Composite Features

Junyi Bai, 航 苏, Lei Zhao

Traditional wood identification models are vulnerable to out-of-distribution (OOD) substitution in the global timber trade. In response to this issue, this study presents a dual-stage cascade authentication architecture using in situ Raman spectroscopy and machine learning. First, a physically informed preprocessing strategy, …

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CM-EffNet: A Direction-Aware and Detail-Preserving Network for Wood Species Identification Based on Microscopic Anatomical Patterns

Changwei Gu, Lei Zhao

The authentication of wood species is of paramount significance to market regulation and product quality control in the construction industry. While classification based on microscopic wood cell structures serves as a critical reference for this task, the high inter-class similarity of cell …

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Research on Augmentation of Wood Microscopic Image Dataset Based on Generative Adversarial Networks

Shuo Xu, 航 苏, Lei Zhao

Microscopic wood images are vital in wood analysis and classification research. However, the high cost of acquiring microscopic images and the limitations of experimental conditions have led to a severe problem of insufficient sample data, which significantly restricts the training performance and …

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Research on the Classification Method of Pinus Species Based on Generative Adversarial Networks and Convolutional Neural Networks

Shuo Xu, Hang Su, Lei Zhao

With the rapid expansion of the global timber trade, accurate wood identification has become essential for regulating ecosystems and combating illegal logging. Traditional methods, largely reliant on manual analysis, are inadequate for large-scale, high-precision demands. A multi-architecture fusion network model that combines …

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Research on an MOOC Recommendation Method Based on the Fusion of Behavioral Sequences and Textual Semantics

Lei Zhao, Zhenbin Liu

To address the challenges of user behavior sparsity and insufficient utilization of course semantics on MOOC platforms, this paper proposes a personalized recommendation method that integrates user behavioral sequences with course textual semantic features. First, shallow word-level features from course titles are …

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White matter abnormalities of the frontal–striatal–thalamic circuit in individuals with attenuated positive symptom syndromes: a probabilistic tractography study

Zhenzhu Chen, Qijing Bo, Lei Zhao, Yushen Ding et autres

Attenuated positive symptoms syndrome (APSS) is a risk state preceding psychosis, and its early identification is key to early intervention. Previous studies have suggested that disturbances in the frontal-striatal-thalamic (FST) circuit may play a role in the neuropathology of APSS. However, the …

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Prediction Method and Application of Geological and Engineering Sweet Spots in Liangjiashan Formation of Yangshuiwu Buried Hill

Lei Zhao, Huiwen Zhang, Xi Huang, Xing-ru Liang et autres

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A deep learning algorithm for the detection of aortic dissection on non-contrast-enhanced computed tomography via the identification and segmentation of the true and false lumens of the aorta

Zhangbo Cheng, Lei Zhao, Jun Yan, Hongbo Zhang et autres

Background: Aortic dissection is a life-threatening clinical emergency, but it is often missed and misdiagnosed due to the limitations of diagnostic technology. In this study, we developed a deep learning-based algorithm for identifying the true and false lumens in the aorta on …

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T2*BOLD for evaluating coronary arteries with hemodynamic changes in stable multivessel coronary artery disease

Lei Zhao, Weibo Chen, Yongyi Wang, Song Xue et autres

This study used T2*BOLD and QFR to evaluate coronary arteries with hemodynamic changes in coronary artery disease. Fifty patients with at least 1 significant coronary artery stenosis (diameter stenosis >50%) and 21 healthy control subjects underwent coronary angiography combined with QFR measurements …

The association between cardiac T2*BOLD and quantitative flow ratio (QFR) in the diagnosis of stenotic coronary arteries in patients with multi-vessel coronary artery disease

Lei Zhao, Binghua Chen, Hui Tang, Yongyi Wang et autres

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Biodegradation of bisphenol A by a Pichia pastoris whole-cell biocatalyst with overexpression of laccase from Bacillus pumilus and investigation of its potential degradation pathways

Enping Guo, Lei Zhao, Ziyuan Li, Lei Chen et autres

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