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| Supervised and Semi-supervised Methods for Abdominalm Organ Segmentation: A Review 期刊论文 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 6, 页码: 887-914 作者: Isaac Baffour Senkyire; Zhe Liu
Adobe PDF(1308Kb)  |   收藏  |  浏览/下载:253/53  |  提交时间:2021/11/26 Abdominal organ, supervised segmentation semi-supervised segmentation evaluation metrics image segmentation machine learning |
| Dynamic Event-triggered Control and Estimation: A Survey 期刊论文 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 6, 页码: 857-886 作者: Xiaohua Ge; Qing-Long Han; Xian-Ming Zhang ; Derui Ding
Adobe PDF(3887Kb)  |   收藏  |  浏览/下载:231/42  |  提交时间:2021/11/26 Networked systems dynamic event-triggered control dynamic event-triggered estimation dynamic event-triggered mechanisms vehicle active suspension system water distribution and supply system |
| Identification and classification of driving behaviour at a signalized intersection using support vector machine 期刊论文 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 3, 页码: 480-491 作者: Soni Lanka Karri; Liyanage Chandratilak De Silva; Daphne Teck Ching Lai; Shiaw Yin Yong
Adobe PDF(1497Kb)  |   收藏  |  浏览/下载:575/325  |  提交时间:2021/05/24 Signalized intersection driving behaviour machine learning support vector machine (SVM) road accidents |
| Computational Decision Support System for ADHD Identification 期刊论文 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 2, 页码: 233-255 作者: Senuri De Silva; Sanuwani Dayarathna; Gangani Ariyarathne; Dulani Meedeniya; Sampath Jayarathna; Anne M. P. Michalek
Adobe PDF(1937Kb)  |   收藏  |  浏览/下载:375/91  |  提交时间:2021/04/22 Attention deficit/hyperactivity disorder (ADHD) functional magnetic resonance imaging (fMRI) eye movement data seed-based correlation ensembled model convolutional neural network (CNN) default mode network (DMN) saccades fixations ADHD-Care decision support system (DDS) |
| Computational Intelligence in Remote Sensing Image Registration: A survey 期刊论文 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 1, 页码: 1-17 作者: Yue Wu ; Jun-Wei Liu; Chen-Zhuo Zhu; Zhuang-Fei Bai; Qi-Guang Miao; Wen-Ping Ma; Mao-Guo Gong
浏览  |   Adobe PDF(995Kb)  |   收藏  |  浏览/下载:292/76  |  提交时间:2021/02/23 Computational intelligence evolutionary computation neural network deep learning remote sensing image registration |
| Applying Deep Learning to Individual and Community Health Monitoring Data: A Survey 期刊论文 International Journal of Automation and Computing, 2018, 卷号: 15, 期号: 6, 页码: 643-655 作者: Zhen-Jie Yao; Jie Bi; Yi-Xin Chen
浏览  |   Adobe PDF(692Kb)  |   收藏  |  浏览/下载:131/38  |  提交时间:2021/02/23 Deep learning healthcare electronic health records (EHR) neural networks survey. |
| Current Researches and Future Development Trend of Intelligent Robot: A Review 期刊论文 International Journal of Automation and Computing, 2018, 卷号: 15, 期号: 5, 页码: 525-546 作者: Tian-Miao Wang; Yong Tao; Hui Liu
浏览  |   Adobe PDF(2945Kb)  |   收藏  |  浏览/下载:222/61  |  提交时间:2021/02/23 Intelligent robot human-robot collaboration driverless technology emotion recognition brain-computer interface big data network. |
| Integration of Facial Thermography in EEG-based Classification of ASD 期刊论文 International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 6, 页码: 837-854 作者: Dilantha Haputhanthri; Gunavaran Brihadiswaran; Sahan Gunathilaka; Dulani Meedeniya; Sampath Jayarathna; Mark Jaime; Christopher Harshaw
浏览  |   Adobe PDF(1617Kb)  |   收藏  |  浏览/下载:234/70  |  提交时间:2021/02/22 Autism spectrum disorder facial thermography EEG signal processing machine learning decision support system ASDGenus. |
| Study on Statistical Outlier Detection and Labelling 期刊论文 International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 6, 页码: 788-811 作者: Paweł D. Domański
浏览  |   Adobe PDF(3534Kb)  |   收藏  |  浏览/下载:193/79  |  提交时间:2021/02/22 Outlier detection control loop quality statistical analysis robust estimation heavy tails. |
| A Wide Learning Approach for Interpretable Feature Recommendation for 1-D Sensor Data in IoT Analytics 期刊论文 International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 6, 页码: 800-811 作者: Snehasis Banerjee; Tanushyam Chattopadhyay; Utpal Garain
浏览  |   Adobe PDF(891Kb)  |   收藏  |  浏览/下载:243/66  |  提交时间:2021/02/22 Feature engineering sensor data analysis Internet of things (IoT) analytics interpretable learning automation. |