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A combination predicting methodology based on T-LSTNet_Markov for short-term wind power prediction 期刊论文
NETWORK-COMPUTATION IN NEURAL SYSTEMS, 2023, 页码: 23
作者:  Wang, Yongsheng;  Wu, Yuhao;  Xu, Hao;  Chen, Zhen;  Gao, Jing;  Xu, ZhiWei;  Li, Leixiao
收藏  |  浏览/下载：7/0  |  提交时间：2023/12/04
Wind power forecast  T-LSTNet_markov model  Deep learning  Time series analysis  
Multiserver configuration for cloud service profit maximization in the presence of soft errors based on grouped grey wolf optimizer 期刊论文
JOURNAL OF SYSTEMS ARCHITECTURE, 2022, 卷号: 127, 页码: 12
作者:  Cong, Peijin;  Hou, Xiangpeng;  Zou, Minhui;  Dong, Jiangshan;  Chen, Mingsong;  Zhou, Junlong
收藏  |  浏览/下载：19/0  |  提交时间：2022/12/07
Cloud computing  Multiserver configuration  Deadline miss rate  Soft error reliability  Profit  
A deep learning method and device for bone marrow imaging cell detection 期刊论文
ANNALS OF TRANSLATIONAL MEDICINE, 2022, 卷号: 10, 期号: 4, 页码: 11
作者:  Liu, Jie;  Yuan, Ruize;  Li, Yinhao;  Zhou, Lin;  Zhang, Zhiqiang;  Yang, Jidong;  Xiao, Li
收藏  |  浏览/下载：19/0  |  提交时间：2022/12/07
Morphological analysis  diagnosis of leukemia  deep learning  object detection  
A differentially private indoor localization scheme with fusion of WiFi and bluetooth fingerprints in edge computing 期刊论文
NEURAL COMPUTING & APPLICATIONS, 2022, 页码: 22
作者:  Zhang, Xuejun;  He, Fucun;  Chen, Qian;  Jiang, Xinlong;  Bao, Junda;  Ren, Tongwei;  Du, Xiaogang
收藏  |  浏览/下载：19/0  |  提交时间：2022/12/07
Location privacy  Edge computing  Differential privacy  Fusion semi-supervised extreme learning machine  Indoor localization  
Improve the Resolution and Parallel Performance of the Three-Dimensional Refine Algorithm in RELION Using CUDA and MPI 期刊论文
IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, 2021, 卷号: 18, 期号: 2, 页码: 583-595
作者:  Zhang, Jingrong;  Wang, Zihao;  Liu, Zhiyong;  Zhang, Fa
收藏  |  浏览/下载：37/0  |  提交时间：2021/12/01
Memory management  Graphics processing units  Arrays  Statistical analysis  Three-dimensional displays  cryoEM  RELION  CUDA  statistical method  Top-k selection  
Predicting the Noise Covariance With a Multitask Learning Model for Kalman Filter-Based GNSS/INS Integrated Navigation 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2021, 卷号: 70, 页码: 13
作者:  Wu, Fan;  Luo, Haiyong;  Jia, Hongwei;  Zhao, Fang;  Xiao, Yimin;  Gao, Xile
收藏  |  浏览/下载：36/0  |  提交时间：2021/12/01
Adaptive integrated navigation  deep learning  denoising autoencoder (DAE)  Kalman filter (KF)  measurement noise  process noise  
Heterogeneous Multi-Task Learning for Multiple Pseudo-Measurement Estimation to Bridge GPS Outages 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2021, 卷号: 70, 页码: 16
作者:  Lu, Shuangqiu;  Gong, Yilin;  Luo, Haiyong;  Zhao, Fang;  Li, Zhaohui;  Jiang, Jinguang
收藏  |  浏览/下载：30/0  |  提交时间：2021/12/01
Artificial intelligence (AI) and neural networks (NNs)  global position system (GPS) outages  inertial navigation system (INS)/GPS integrated navigation  multi-task learning (MTL)  multiple pseudo-measurement estimation  
A mobile services recommendation system fuses implicit and explicit user trust relationships 期刊论文
JOURNAL OF AMBIENT INTELLIGENCE AND SMART ENVIRONMENTS, 2021, 卷号: 13, 期号: 1, 页码: 21-35
作者:  Luo, Pengcheng;  Zhang, Jilin;  Wan, Jian;  Zhao, Nailiang;  Ren, Zujie;  Zhou, Li;  Shen, Jing
收藏  |  浏览/下载：35/0  |  提交时间：2021/12/01
Collaborative filtering  data management  data mining  matrix factorization  recommendation system  social network  
Uplink Low-Power Scheduling for Delay-Bounded Industrial Wireless Networks Based on Imperfect Power-Domain NOMA 期刊论文
IEEE SYSTEMS JOURNAL, 2020, 卷号: 14, 期号: 2, 页码: 2443-2454
作者:  Xu, Chaonong;  Wu, Mianze;  Xu, Yongjun;  Fang, Yuguang
收藏  |  浏览/下载：95/0  |  提交时间：2020/12/10
Delay guarantee  low power  power control  successive interference cancellation (SIC)  uplink scheduling  
Adaptive Kalman filtering-based pedestrian navigation algorithm for smartphones 期刊论文
INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS, 2020, 卷号: 17, 期号: 3, 页码: 14
作者:  Yu, Chen;  Luo, Haiyong;  Fang, Zhao;  Qu, Wang;  Shao, Wenhua
收藏  |  浏览/下载：46/0  |  提交时间：2020/12/10
Pedestrian navigation  error model system  inertial sensors integration  magnetic field  heading estimation