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Early detection of Parkinson's disease: Machine learning-based prediction of UPDRS Part III scores in de novo patients using smartphone assessments 期刊论文
JOURNAL OF PARKINSONS DISEASE, 2025, 页码: 12
作者:  Guo, Wei-Hang;  Yang, Xiao-Dong;  Ruan, Zheng;  Wang, Xu;  Zhang, Dan-Zuo;  Song, Shu-Chao;  Chen, Yi-Qiang;  Chan, Piu
收藏  |  浏览/下载：4/0  |  提交时间：2025/12/03
Parkinson's disease  UPDRS part III  machine learning  smartphone assessment  untreated de novo patients  motor symptoms  
Environmental-structure-perception-based adaptive pose fusion method for LiDAR-visual-inertial odometry 期刊论文
INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS, 2024, 卷号: 21, 期号: 3, 页码: 20
作者:  Zhao, Zixu;  Liu, Chang;  Yu, Wenyao;  Shi, Jinglin;  Zhang, Dalin
收藏  |  浏览/下载：26/0  |  提交时间：2024/12/06
Adaptive pose fusion  LiDAR-visual-inertial odometry  environmental structure perception  pose estimation of unmanned vehicle  sensor fusion  
Efficient and adaptive lidar-visual-inertial odometry for agricultural unmanned ground vehicle 期刊论文
INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS, 2022, 卷号: 19, 期号: 2, 页码: 15
作者:  Zhao, Zixu;  Zhang, Yucheng;  Long, Long;  Lu, Zaiwang;  Shi, Jinglin
收藏  |  浏览/下载：75/0  |  提交时间：2022/12/07
Sensor-fusion  SLAM  localization  agricultural UGV  
Recognition of Peripheral Lung Cancer and Focal Pneumonia on Chest Computed Tomography Images Based on Convolutional Neural Network 期刊论文
TECHNOLOGY IN CANCER RESEARCH & TREATMENT, 2022, 卷号: 21, 页码: 12
作者:  Cheng, Xiaoyue;  He Wen;  Hao You;  Li Hua;  Wu Xiaohua;  Cao Qiuting;  Liu Jiabao
收藏  |  浏览/下载：73/0  |  提交时间：2022/12/07
chest CT  peripheral lung cancer  focal pneumonia  3D CNN  window settings  
Research on time synchronization of linear pulse-coupled oscillators model with delay in nearest neighbor wireless multi-hop networks 期刊论文
INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS, 2021, 卷号: 17, 期号: 7, 页码: 12
作者:  Cui, Lizhen;  Cao, Jian;  An, Zhulin;  Yang, Yong;  Guo, Qianqian
收藏  |  浏览/下载：78/0  |  提交时间：2021/12/01
Wireless sensor networks  time synchronization  delay  pulse-coupled oscillators model  nearest neighbor communication  
Learning to balance the coherence and diversity of response generation in generation-based chatbots 期刊论文
INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS, 2020, 卷号: 17, 期号: 4, 页码: 11
作者:  Wang, Shuliang;  Li, Dapeng;  Geng, Jing;  Yang, Longxing;  Leng, Hongyong
收藏  |  浏览/下载：83/0  |  提交时间：2020/12/10
Variational autoencoder  dialog system  deep learning  response generation  chatbots  
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：86/0  |  提交时间：2020/12/10
Pedestrian navigation  error model system  inertial sensors integration  magnetic field  heading estimation  
In-vehicle localization based on multi-channel Bluetooth Low Energy received signal strength indicator 期刊论文
INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS, 2020, 卷号: 16, 期号: 1, 页码: 13
作者:  Gao Yuan;  Zhao Ze;  Huang Changcheng;  Han Chuanqi;  Cui Li
收藏  |  浏览/下载：115/0  |  提交时间：2020/12/10
In-vehicle localization  Bluetooth Low Energy  received signal strength indicator  multi-channel  Adaboost  support vector machine  device calibration  
Learning bi-utterance for multi-turn response selection in retrieval-based chatbots 期刊论文
INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS, 2019, 卷号: 16, 期号: 2, 页码: 10
作者:  Wang, Shuliang;  Li, Dapeng;  Geng, Jing;  Yang, Longxing;  Dai, Tianru
收藏  |  浏览/下载：113/0  |  提交时间：2019/08/16
Learning bi-utterance  dialogue system  deep learning  information retrieval  
SP-Loc: A crowdsourcing fingerprint based shop-level indoor localization algorithm integrating shop popularity without the indoor map 期刊论文
INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS, 2018, 卷号: 14, 期号: 11, 页码: 18
作者:  Wei, Jie;  Zhao, Fang;  Luo, Haiyong
收藏  |  浏览/下载：120/0  |  提交时间：2019/04/03
Indoor localization  shop-level localization  crowdsourcing fingerprints  shop popularity property  supervised learning