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Xuejun Yue, Haifeng Li, Qingkui Song, Fanguo Zeng, Jianyu Zheng, Ziyu Ding, Gaobi Kang, Yulin Cai, Yongda Lin, Xiaowan Xu and Chaoran Yu
Existing disease detection models for deep learning-based monitoring and prevention of pepper diseases face challenges in accurately identifying and preventing diseases due to inter-crop occlusion and various complex backgrounds. To address this issue, w...
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Qing Zhu, Meite Chen, Bin Feng, Yan Zhou, Maosu Li, Zhaowen Xu, Yulin Ding, Mingwei Liu, Wei Wang and Xiao Xie
Massive spatiotemporal data scheduling in a cloud environment play a significant role in real-time visualization. Existing methods focus on preloading, prefetching, multithread processing and multilevel cache collaboration, which waste hardware resources...
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Peng Shi, Yulin Cui, Kangming Xu, Mingmei Zhang and Lianhong Ding
Big data technique is a series of novel technologies to deal with large amounts of data from various sources. Unfortunately, it is inevitable that the data from different sources conflict with each other from the aspects of format, semantics, and value. ...
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Qing Zhu, Junxiao Zhang, Yulin Ding, Mingwei Liu, Yun Li, Bin Feng, Shuangxi Miao, Weijun Yang, Huagui He and Jun Zhu
Although abundant spatiotemporal data are collected before and after landslides, the volume, variety, intercorrelation, and heterogeneity of multimodal data complicates disaster assessments, so it is challenging to select information from multimodal spat...
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Qing Zhu, Feng Wang, Han Hu, Yulin Ding, Jiali Xie, Weixi Wang and Ruofei Zhong
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Qing Zhu, Yun Li, Qing Xiong, Sisi Zlatanova, Yulin Ding, Yeting Zhang and Yan Zhou
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