Search Results - "Jin, Xuebo"

A Switched Approach for Smartphone-Based Pedestrian Navigation by Yi, Shenglun, Zorzi, Mattia, Jin, Xuebo, Su, Tingli

“…In this paper, we propose a novel switched approach to perform smartphone-based pedestrian navigation tasks even in scenarios where GNSS signals are…”
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A Reversible Automatic Selection Normalization (RASN) Deep Network for Predicting in the Smart Agriculture System by Jin, Xuebo, Zhang, Jiashuai, Kong, Jianlei, Su, Tingli, Bai, Yuting

“…Due to the nonlinear modeling capabilities, deep learning prediction networks have become widely used for smart agriculture. Because the sensing data has noise…”
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A Spatial Feature-Enhanced Attention Neural Network with High-Order Pooling Representation for Application in Pest and Disease Recognition by Kong, Jianlei, Wang, Hongxing, Yang, Chengcai, Jin, Xuebo, Zuo, Min, Zhang, Xin

“…With the development of advanced information and intelligence technologies, precision agriculture has become an effective solution to monitor and prevent crop…”
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Hard Decision-Based Cooperative Localization for Wireless Sensor Networks by Wang, Zhaoyang, Jin, Xuebo, Wang, Xiaoyi, Xu, Jiping, Bai, Yuting

“…Reliable and accurate localization of objects is essential for many applications in wireless networks. Especially for large-scale wireless sensor networks…”
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Integrated Predictor Based on Decomposition Mechanism for PM2.5 Long-Term Prediction by Jin, Xuebo, Yang, Nianxiang, Wang, Xiaoyi, Bai, Yuting, Su, Tingli, Kong, Jianlei

“…It is crucial to predict PM2.5 concentration for early warning regarding and the control of air pollution. However, accurate PM2.5 prediction has been…”
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Lake eutrophication prediction based on improved MIMO-DD-3Q Learning by Wang, Li, Ning, Chaoran, Wang, Xiaoyi, Xu, Jiping, Zhao, Zhiyao, Yu, Jiabin, Zhang, Huiyan, Sun, Qian, Bai, Yuting, Jin, Xuebo, Tang, Qianhui

“…As for the problem that the traditional single depth prediction model has poor strain capacity to the prediction results of time series data when predicting…”
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Automatic Group Decision-Making for Algal Bloom Management Based on Information Self-Learning by Bai, Yuting, Niu, Yijie, Zhao, Zhiyao, Jin, Xuebo, Wang, Xiaoyi

“…The phenomenon of algal bloom seriously affects the function of the aquatic ecosystems, damages the landscape of urban river and lakes, and threatens the…”
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Deep Prediction Model Based on Dual Decomposition with Entropy and Frequency Statistics for Nonstationary Time Series by Shi, Zhigang, Bai, Yuting, Jin, Xuebo, Wang, Xiaoyi, Su, Tingli, Kong, Jianlei

“…The prediction of time series is of great significance for rational planning and risk prevention. However, time series data in various natural and artificial…”
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An approach of recursive timing deep belief network for algal bloom forecasting by Wang, Li, Zhang, Tianrui, Jin, Xuebo, Xu, Jiping, Wang, Xiaoyi, Zhang, Huiyan, Yu, Jiabin, Sun, Qian, Zhao, Zhiyao, Xie, Yuxin

“…The forecasting methods of water bloom in existence are hard to reflect nonlinear dynamic change in algal bloom formation mechanism, leading to poor…”
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Model updating for real time dynamic substructures based on UKF algorithm by Tingli, Su, Zhenyun, Tang, Lingyun, Peng, Yuting, Bai, Xuebo, Jin, Jianlei, Kong

“…Combining the advantages of numerical simulation with experimental testing, real-time dynamic substructure (RTDS) testing provides a new experimental method…”
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Compound Autoregressive Network for Prediction of Multivariate Time Series by Kong, Jianlei, Su, Tingli, Wang, Xiao-yi, Xue-bo, Jin, Bai, Yuting, Lu, Yutian

“…The prediction information has effects on the emergency prevention and advanced control in various complex systems. There are obvious nonlinear, nonstationary,…”
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A Na2CO3-Responsive Chitinase Gene From Leymus chinensis Improve Pathogen Resistance and Saline-Alkali Stress Tolerance in Transgenic Tobacco and Maize by Liu, Xiangguo, Yu, Ying, Liu, Qing, Deng, Suren, Jin, Xuebo, Yin, Yuejia, Guo, Jia, Li, Nan, Liu, Yang, Han, Siping, Wang, Chuang, Hao, Dongyun

“…Salinity and microbial pathogens are the major limiting factors for crop production. Although the manipulation of many genes could improve plant performance…”
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LCA-Net: A Lightweight Cross-Stage Aggregated Neural Network for Fine-Grained Recognition of Crop Pests and Diseases by Kong, Jianlei, Xiao, Yang, Jin, Xuebo, Cai, Yuanyuan, Ding, Chao, Bai, Yuting

“…In the realm of smart agriculture technology’s rapid advancement, the integration of various sensors and Internet of Things (IoT) devices has become prevalent…”
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Pedestrian motion recognition via Conv‐VLAD integrated spatial‐temporal‐relational network by Shiyu Peng, Tingli Su, Xuebo Jin, Jianlei Kong, Yuting Bai

“…Pedestrian motion recognition is one of the important components of an intelligent transportation system. Since commonly used spatial‐temporal features are…”
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A deep network prediction model for heavy metal cadmium in the rice supply chain by Jin, Xuebo, Zhang, Jiashuai, Wang, Xiaoyi, Zhang, Xin, Guo, Tianyang, Shi, Ce, Su, Tingli, Kong, Jianlei, Bai, Yuting

“…•This paper proposes a cadmium-hazards prediction model for the rice supply chain based on a deep network. The long and short-term memory (LSTM) network builds…”
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3D Reconstruction of Pedestrian Trajectory with Moving Direction Learning and Optimal Gait Recognition by Kong, Jianlei, Xue-bo, Jin, Su, Tingli, Wang, Binbin, Bai, Yuting

“…An inertial measurement unit-based pedestrian navigation system that relies on the intelligent learning algorithm is useful for various applications,…”
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Main Trend Extraction Based on Irregular Sampling Estimation and Its Application in Storage Volume of Internet Data Center by Miao, Beibei, Dou, Chao, Jin, Xuebo

“…The storage volume of internet data center is one of the classical time series. It is very valuable to predict the storage volume of a data center for the…”
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Segmentation of Time Series Based on Kinetic Characteristics for Storage Consumption Prediction by Beibei Miao, Yu Chen, Xuebo Jin, Bo Wang, Xianping Qu, Shimin Tao, Dong Wang, Zhi Zang

“…The Internet services generate huge amount of data, which require large space for storage. Determining device purchase plan turns out to be very important for…”
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Multi-stream hybrid architecture based on cross-level fusion strategy for fine-grained crop species recognition in precision agriculture by Kong, Jianlei, Wang, Hongxing, Wang, Xiaoyi, Jin, Xuebo, Fang, Xing, Lin, Seng

“…•Crops species recognition in agricultural scenes belongs to fine-grained visual classification lacking of effective solutions.•Large-scale dataset collected…”
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State of art on state estimation: Kalman filter driven by machine learning by Bai, Yuting, Yan, Bin, Zhou, Chenguang, Su, Tingli, Jin, Xuebo

“…The Kalman filter (KF) is a popular state estimation technique that is utilized in a variety of applications, including positioning and navigation, sensor…”
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