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| 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:239/63  |  提交时间:2021/02/23 Computational intelligence evolutionary computation neural network deep learning remote sensing image registration |
| 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:205/46  |  提交时间:2021/11/26 Abdominal organ, supervised segmentation semi-supervised segmentation evaluation metrics image segmentation machine learning |
| Humans and Robots: A Mutually Inclusive Relationship in a Contagious World 期刊论文 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 2, 页码: 185-203 作者: Akash Gupta; Anshuman Singh; Deepak Bharadwaj; Amit Kumar Mondal Adobe PDF(1295Kb)  |  收藏  |  浏览/下载:199/54  |  提交时间:2021/04/22 COVID-19 coronavirus telepresence delivery robots medical robots |
| 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:260/77  |  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) |
| A Study on Performance and Reliability of Urethral Valve Driven by Ultrasonic-vaporized Steam 期刊论文 International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 5, 页码: 752-762 作者: Zhen Hu; Xiao Li; Ting Guan 浏览  |  Adobe PDF(14479Kb)  |  收藏  |  浏览/下载:126/28  |  提交时间:2021/02/22 Urethral valve ultrasonic opening/closing performance driving performance reliability. |
| 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:185/57  |  提交时间:2021/02/22 Autism spectrum disorder facial thermography EEG signal processing machine learning decision support system ASDGenus. |
| Dual-modal Physiological Feature Fusion-based Sleep Recognition Using CFS and RF Algorithm 期刊论文 International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 3, 页码: 286-296 作者: Bing-Tao Zhang; Xiao-Peng Wang; Yu Shen 浏览  |  Adobe PDF(847Kb)  |  收藏  |  浏览/下载:158/38  |  提交时间:2021/02/22 Feature fusion mild difficulty in falling asleep (MDFA) decision support tool sleep issues optimal feature set. |
| An Advanced Analysis System for Identifying Alcoholic Brain State Through EEG Signals 期刊论文 International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 6, 页码: 737-747 作者: Siuly Siuly; Varun Bajaj; Abdulkadir Sengur; Yanchun Zhang 浏览  |  Adobe PDF(4171Kb)  |  收藏  |  浏览/下载:136/42  |  提交时间:2021/02/22 Electroencephalogram (EEG) alcoholism optimum allocation technique feature extraction decision table. |
| Expert and Non-expert Opinion About Technological Unemployment 期刊论文 International Journal of Automation and Computing, 2018, 卷号: 15, 期号: 5, 页码: 637-642 作者: Toby Walsh 浏览  |  Adobe PDF(483Kb)  |  收藏  |  浏览/下载:141/67  |  提交时间:2021/02/23 Survey technological unemployment artificial intelligence (AI). |
| 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:102/27  |  提交时间:2021/02/23 Deep learning healthcare electronic health records (EHR) neural networks survey. |