Search Results - "Jianlei, Kong"

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…”
Get full text

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…”
Get full text

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…”
Get full text

Enhancing a You Only Look Once-Plated Detector via Auxiliary Textual Coding for Multi-Scale Rotating Remote Sensing Objects in Transportation Monitoring Applications by Bao, Sarentuya, Zhang, Mingwang, Xie, Rui, Huang, Dabhvrbayar, Kong, Jianlei

“…With the rapid development of intelligent information technologies, remote sensing object detection has played an important role in different field…”
Get full text

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…”
Get full text

An Effective Pyramid Neural Network Based on Graph-Related Attentions Structure for Fine-Grained Disease and Pest Identification in Intelligent Agriculture by Lin, Sen, Xiu, Yucheng, Kong, Jianlei, Yang, Chengcai, Zhao, Chunjiang

“…In modern agriculture and environmental protection, effective identification of crop diseases and pests is very important for intelligent management systems…”
Get full text

GDMR-Net: A Novel Graphic Detection Neural Network via Multi-Crossed Attention and Rotation Annotation for Agronomic Applications in Supply Cyber Security by Xue, Zhangchi, Zhao, Xueqi, Xiu, Yucheng, Hua, Chenghao, Kong, Jianlei

“…The development of smart agriculture holds great significance in ensuring the supply and cyber security of agricultural production. With the advancement of…”
Get full text

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…”
Get full text

Advancing document-level event extraction: Integration across texts and reciprocal feedback by Zuo, Min, Li, Jiaqi, Wu, Di, Wang, Yingjun, Dong, Wei, Kong, Jianlei, Hu, Kang

“…The primary objective of document-level event extraction is to extract relevant event information from lengthy texts. However, many existing methods for…”
Get full text

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,…”
Get full text

Discrimination of New and Aged Seeds Based on On-Line Near-Infrared Spectroscopy Technology Combined with Machine Learning by Zhu, Yanqiu, Fan, Shuxiang, Zuo, Min, Zhang, Baohua, Zhu, Qingzhen, Kong, Jianlei

“…The harvest year of maize seeds has a significant impact on seed vitality and maize yield. Therefore, it is vital to identify new seeds. In this study, an…”
Get full text

Visual Description Augmented Integration Network for Multimodal Entity and Relation Extraction by Zuo, Min, Wang, Yingjun, Dong, Wei, Zhang, Qingchuan, Cai, Yuanyuan, Kong, Jianlei

“…Multimodal Named Entity Recognition (MNER) and multimodal Relationship Extraction (MRE) play an important role in processing multimodal data and understanding…”
Get full text

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…”
Get full text

Prediction of Food Safety Risk Level of Wheat in China Based on Pyraformer Neural Network Model for Heavy Metal Contamination by Dong, Wei, Hu, Tianyu, Zhang, Qingchuan, Deng, Furong, Wang, Mengyao, Kong, Jianlei, Dai, Yishu

“…Heavy metal contamination in wheat not only endangers human health, but also causes crop quality degradation, leads to economic losses and affects social…”
Get full text

New Hybrid Algorithms for Estimating Tree Stem Diameters at Breast Height Using a Two Dimensional Terrestrial Laser Scanner by Kong, Jianlei, Ding, Xiaokang, Liu, Jinhao, Yan, Lei, Wang, Jianli

“…In this paper, a new algorithm to improve the accuracy of estimating diameter at breast height (DBH) for tree trunks in forest areas is proposed. First, the…”
Get full text

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…”
Get full text

Fine-Grained Pests Recognition Based on Truncated Probability Fusion Network via Internet of Things in Forestry and Agricultural Scenes by Ma, Kai, Nie, Ming-Jun, Lin, Sen, Kong, Jianlei, Yang, Cheng-Cai, Liu, Jinhao

“…Accurate identification of insect pests is the key to improve crop yield and ensure quality and safety. However, under the influence of environmental…”
Get full text

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…”
Get full text

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,…”
Get full text

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…”
Get full text