Search Results - "Bai, Di"

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  1. 1

    Learning for Adaptive Multi-Copy Relaying in Vehicular Delay Tolerant Network by Lin, Haifeng, Qian, Jingjing, Di, Bai

    “…Multi-copy routing is a way that creates and forwards copies to the nodes without the copies so that increases the message delivery probability in the…”
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  2. 2

    YOLO-Tea: A Tea Disease Detection Model Improved by YOLOv5 by Zhenyang Xue, Renjie Xu, Di Bai, Haifeng Lin

    Published in Forests (01-02-2023)
    “…Diseases and insect pests of tea leaves cause huge economic losses to the tea industry every year, so the accurate identification of them is significant…”
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  3. 3

    Research on China’s rural household energy consumption – Household investigation of typical counties in 8 economic zones by Xiaohua, Wang, Kunquan, Li, Hua, Li, Di, Bai, Jingru, Liu

    Published in Renewable & sustainable energy reviews (01-02-2017)
    “…Rural household energy consumption is an important component of national energy consumption and plays an important role in rural social and ecological…”
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  4. 4

    Phase Deflectometry for Defect Detection of High Reflection Objects by Cheng, Xian-Ming, Wang, Ting-Ting, Zhu, Wen-Bin, Shi, Bai-Di, Chen, Wei

    Published in Sensors (Basel, Switzerland) (01-02-2023)
    “…A method for detecting the surface defects of high reflection objects using phase deflection is proposed. The abrupt change in the surface gradient at the…”
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  5. 5

    Few-shot learning for joint model in underwater acoustic target recognition by Tian, Shengzhao, Bai, Di, Zhou, Junlin, Fu, Yan, Chen, Duanbing

    Published in Scientific reports (16-10-2023)
    “…In underwater acoustic target recognition, there is a lack of massive high-quality labeled samples to train robust deep neural networks, and it is difficult to…”
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  6. 6

    TSBA-YOLO: An Improved Tea Diseases Detection Model Based on Attention Mechanisms and Feature Fusion by Ji Lin, Di Bai, Renjie Xu, Haifeng Lin

    Published in Forests (01-03-2023)
    “…Tea diseases have a significant impact on the yield and quality of tea during the growth of tea trees. The shape and scale of tea diseases are variable, and…”
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  7. 7

    Low‐coordinate cobalt(0) N‐heterocyclic carbene complexes as catalysts for hydrosilylation of alkynes by Bai, Wenli, Sun, Jian, Wang, Dongyang, Bai, Sheng‐Di, Deng, Liang

    Published in Applied organometallic chemistry (01-06-2022)
    “…Among the great efforts of developing cobalt‐based catalysts for hydrosilylation reactions, cobalt (II) and cobalt(I) complexes are the extensively studied…”
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  8. 8

    LMDFS: A Lightweight Model for Detecting Forest Fire Smoke in UAV Images Based on YOLOv7 by Chen, Gong, Cheng, Renxi, Lin, Xufeng, Jiao, Wanguo, Bai, Di, Lin, Haifeng

    Published in Remote sensing (Basel, Switzerland) (01-08-2023)
    “…Forest fires pose significant hazards to ecological environments and economic society. The detection of forest fire smoke can provide crucial information for…”
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  9. 9

    Predicting the impact of climate change on the re-emergence of malaria cases in China using LSTMSeq2Seq deep learning model: a modelling and prediction analysis study by Kamana, Eric, Zhao, Jijun, Bai, Di

    Published in BMJ open (31-03-2022)
    “…ObjectivesMalaria is a vector-borne disease that remains a serious public health problem due to its climatic sensitivity. Accurate prediction of malaria…”
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  10. 10

    Internet of things intrusion detection model and algorithm based on cloud computing and multi-feature extraction extreme learning machine by Lin, Haifeng, Xue, Qilin, Feng, Jiayin, Bai, Di

    Published in Digital communications and networks (01-02-2023)
    “…With the rapid development of the Internet of Things (IoT), there are several challenges pertaining to security in IoT applications. Compared with the…”
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  11. 11

    Omni-Dimensional Dynamic Convolution Meets Bottleneck Transformer: A Novel Improved High Accuracy Forest Fire Smoke Detection Model by Jingjing Qian, Ji Lin, Di Bai, Renjie Xu, Haifeng Lin

    Published in Forests (01-04-2023)
    “…The frequent occurrence of forest fires in recent years has not only seriously damaged the forests’ ecological environments but also threatened the safety of…”
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  12. 12

    Integrated Learning-Based Pest and Disease Detection Method for Tea Leaves by Yinkai Wang, Renjie Xu, Di Bai, Haifeng Lin

    Published in Forests (01-05-2023)
    “…Currently, the detection of tea pests and diseases remains a challenging task due to the complex background and the diverse spot patterns of tea leaves…”
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  13. 13

    FlameTransNet: Advancing Forest Flame Segmentation with Fusion and Augmentation Techniques by Beiqi Chen, Di Bai, Haifeng Lin, Wanguo Jiao

    Published in Forests (01-09-2023)
    “…Forest fires pose severe risks, including habitat loss and air pollution. Accurate forest flame segmentation is vital for effective fire management and…”
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  14. 14

    Single‐station radar‐based UAV position estimation in complex urban environments by Bi, Xiaoyan, Bai, Di, Cui, Yongqiang

    Published in IET radar, sonar & navigation (01-02-2022)
    “…In the complex electromagnetic environment of cities, detection and positioning of slow and small unmanned aerial vehicles (UAVs) have always been a very…”
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  15. 15

    A Small Target Tea Leaf Disease Detection Model Combined with Transfer Learning by Xianze Yao, Haifeng Lin, Di Bai, Hongping Zhou

    Published in Forests (01-04-2024)
    “…Tea cultivation holds significant economic value, yet the leaves of tea plants are frequently susceptible to various pest and disease infestations…”
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  16. 16

    TeaViTNet: Tea Disease and Pest Detection Model Based on Fused Multiscale Attention by Chen, Zhichao, Zhou, Hongping, Lin, Haifeng, Bai, Di

    Published in Agronomy (Basel) (01-03-2024)
    “…The tea industry, as one of the most globally important agricultural products, is characterized by pests and diseases that pose a serious threat to yield and…”
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  17. 17

    Corrosion Behavior of High-Nitrogen Steel Hybrid Welded Joints Fabricated by Hybrid Laser-Arc Welding by You, Xianxian, Ning, Kai, Bai, Di, Liu, Yanwei, Zhang, Hong, Liu, Fengde

    Published in Materials (09-05-2023)
    “…To study the corrosion mechanism of high-nitrogen steel welds, this study investigated the effects of laser outputs on the corrosion behavior of high-nitrogen…”
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  18. 18

    SWVR: A Lightweight Deep Learning Algorithm for Forest Fire Detection and Recognition by Li Jin, Yanqi Yu, Jianing Zhou, Di Bai, Haifeng Lin, Hongping Zhou

    Published in Forests (01-01-2024)
    “…The timely and effective detection of forest fires is crucial for environmental and socio-economic protection. Existing deep learning models struggle to…”
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  19. 19

    Multi-Scale Forest Fire Recognition Model Based on Improved YOLOv5s by Gong Chen, Hang Zhou, Zhongyuan Li, Yucheng Gao, Di Bai, Renjie Xu, Haifeng Lin

    Published in Forests (01-02-2023)
    “…The frequent occurrence of forest fires causes irreparable damage to the environment and the economy. Therefore, the accurate detection of forest fires is…”
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  20. 20

    A ligand-free copper-catalyzed strategy to the N-arylation of indazole using aryl bromides by Bai, Di-Xiang, Lim, Rachel Sin-Ee, Ng, Hui-Fen, Teo, Yong-Chua

    Published in Synthetic communications (03-05-2021)
    “…A simple and efficient strategy for the C-N cross-coupling of indazole with a variety of substituted aryl bromides is reported. Under the optimized conditions,…”
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