Hongbo Mu

Visible freshness: Natural pH-sensitive indicator films for intelligent food packaging

Taoyang Cai, Yanxing Xia, Yanru Liu, Feng Zhang et autres

Natural pH-responsive indicator film has become a research hotspot in the field of intelligent food packaging because of its environmental friendliness, sensitive pH-responsive ability and good biocompatibility. This kind of indicator film is mainly composed of natural colorants and natural polymer matrix. …

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Integrating PSEC-WGAN-GP and CARS-PLS with a CNN-Transformer architecture for superior FTIR tea seed quality discrimination

Hao Li, Bin Bian, Wuji Wei, Di Deng et autres

cn (code pays fourni par la source)

Cgc-YOLO: A New Detection Model for Defect Detection of Tea Tree Seeds

Yuwen Liu, Hao Li, Kai F. Yu, Hui Zhu et autres

Tea tree seeds are highly sensitive to dehydration and cannot be stored for extended periods, making surface defect detection crucial for preserving their germination rate and overall quality. To address this challenge, we propose Cgc-YOLO, an enhanced YOLO-based model specifically designed to …

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Oak-YOLO: A high-performance detection model for automated Oak seed defect identification

Hao Li, Zhuqi Li, D. Y. Chen, Wangyu Wu et autres

Oak seeds are highly susceptible to pest infestations due to their elevated starch content, which significantly impairs germination and subsequent growth. To address this challenge, we developed a high-resolution imaging system and proposed an improved YOLO-based model named Oak-YOLO for efficient and …

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Sustainable oil-water separation and pollutant degradation with ZnO-doped wood aerogels

Taoyang Cai, Shangjie Ge‐Zhang, Hongbo Mu

The development of the petrochemical industry necessitates the treatment of oily industrial wastewater. Addressing the separation, recovery, and reuse of oily wastewater with low-cost, high-efficiency, and environmentally friendly methods has become a significant focus in environmental protection. The search for oil-water separation …

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Research on the Classification Method of Tea Tree Seeds Quality Based on Mid-Infrared Spectroscopy and Improved DenseNet

Di Deng, Hao Li, Jiawei Luo, Hongbo Mu

Precise quality screening of tea tree seeds is crucial for the development of the tea industry. This study proposes a high-precision quality classification method for tea tree seeds by integrating mid-infrared (MIR) spectroscopy with an improved deep learning model. Four types of …

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MRI-based diagnostic model for Alzheimer’s disease using 3D-ResNet

Hong Yang, Zhengwei Li, Xin He, Hongbo Mu

Alzheimer's disease (AD), a progressive neurodegenerative disorder, is the leading cause of dementia worldwide and remains incurable once it begins. Therefore, early and accurate diagnosis is essential for effective intervention. Leveraging recent advances in deep learning, this study proposes a novel diagnostic …

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Lma-Detr: A Multi-Scale Detection Framework for Seed Defect Screening

Hao Li, Hong Yang, Zhuqi Li, Wangyu Wu et autres

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Cnn-Transformer Hybrid Network with Wgan-Gp Augmentation for High-Accuracy Ftir Classification of Tea Seed Quality

Hao Li, Bin Bian, Wuji Wei, Di Deng et autres

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Integrating Psec-Wgan-Gp and Cars-Pls with a Cnn–Transformer Architecture for Superior Ftir Tea Seed Quality Discrimination

Hao Li, Bin Bian, Wuji Wei, Di Deng et autres

cn (code pays fourni par la source)

Integrating PSEC-WGAN-GP and CARS-PLS with a CNN–Transformer Architecture for Superior FTIR Tea Seed Quality Discrimination

Hao Li, Bin Bian, Wuji Wei, Di Deng et autres

cn (code pays fourni par la source)

SwinRes: A hybrid model that effectively diagnoses COVID‐19 through x‐ray lung images

Xuanlong He, Hong Wei Yang, Jipan Xu, Hongbo Mu

Abstract COVID‐19 has been ravaging the world for a long time, and although its effects are currently the same as those of a cold or a fever, timely diagnosis of COVID‐19 in the elderly and in patients with related illnesses is still …

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