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| A Fast Compression Framework Based on 3D Point Cloud Data for Telepresence 期刊论文 International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 6, 页码: 855-866 作者: Zun-Ran Wang; Chen-Guang Yang; Shi-Lu Dai
Adobe PDF(1401Kb)  |   收藏  |  浏览/下载:233/77  |  提交时间:2021/02/22 3D point cloud compression motion estimation signatures of histograms orientation 3D point cloud matching predicted frame and intra frame. |
| 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:230/69  |  提交时间:2021/02/22 Autism spectrum disorder facial thermography EEG signal processing machine learning decision support system ASDGenus. |
| Generalized Multiscale RBF Networks and the DCT for Breast Cancer Detection 期刊论文 International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 1, 页码: 55-70 作者: Carlos Beltran-Perez; Hua-Liang Wei; Adrian Rubio-Solis
浏览  |   Adobe PDF(1710Kb)  |   收藏  |  浏览/下载:171/61  |  提交时间:2021/02/22 Nonlinear system identification image processing discrete cosine transform radial basis functions computer-aided diagnosis neural networks. |
| Spectral-spatial Classification of Hyperspectral Images Using Signal Subspace Identification and Edge-preserving Filter 期刊论文 International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 2, 页码: 222-232 作者: Negin Alborzi; Fereshteh Poorahangaryan; Homayoun Beheshti
浏览  |   Adobe PDF(1128Kb)  |   收藏  |  浏览/下载:168/55  |  提交时间:2021/02/22 Hyperspectral image remote sensing the hyperspectral signal subspace identification (HYSIME) edge-preserving filter classification support vector machine. |
| Text-mining-based Fake News Detection Using Ensemble Methods 期刊论文 International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 2, 页码: 210-221 作者: Harita Reddy; Namratha Raj; Manali Gala; Annappa Basava
Adobe PDF(1101Kb)  |   收藏  |  浏览/下载:327/124  |  提交时间:2021/02/22 Fake news social media stylometric features word vectors ensemble methods. |
| Electronic Nose and Its Applications: A Survey 期刊论文 International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 2, 页码: 179-209 作者: Diclehan Karakaya; Oguzhan Ulucan; Mehmet Turkan
浏览  |   Adobe PDF(1365Kb)  |   收藏  |  浏览/下载:203/40  |  提交时间:2021/02/22 Artificial intelligence machine learning pattern recognition electronic nose (EN) sensors technology. |
| Automatic Classification of Cardiac Arrhythmias Based on Hybrid Features and Decision Tree Algorithm 期刊论文 International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 4, 页码: 551-561 作者: Santanu Sahoo; Asit Subudhi; Manasa Dash; Sukanta Sabut
浏览  |   Adobe PDF(1105Kb)  |   收藏  |  浏览/下载:133/40  |  提交时间:2021/02/22 Electrocardiogram (ECG) cardiac arrhythmias empirical mode decomposition (EMD) variational mode decomposition (VMD) hybrid features decision tree classifier. |
| Ground-level Ozone Prediction Using Machine Learning Techniques: A Case Study in Amman, Jordan 期刊论文 International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 5, 页码: 667-677 作者: Maryam Aljanabi; Mohammad Shkoukani; Mohammad Hijjawi
浏览  |   Adobe PDF(1159Kb)  |   收藏  |  浏览/下载:93/28  |  提交时间:2021/02/22 Ozone prediction machine learning neural networks supervised learning regression. |
| Robust Object Tracking via Information Theoretic Measures 期刊论文 International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 5, 页码: 652-666 作者: Wei-Ning Wang ; Qi Li ; Liang Wang![](/image/person.jpg)
Adobe PDF(1855Kb)  |   收藏  |  浏览/下载:178/26  |  提交时间:2021/02/22 Object tracking information theoretic measures correntropy template update robust to complex noises. |
| Item Response Theory Based Ensemble in Machine Learning 期刊论文 International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 5, 页码: 621-636 作者: Ziheng Chen; Hongshik Ahn
浏览  |   Adobe PDF(1163Kb)  |   收藏  |  浏览/下载:190/99  |  提交时间:2021/02/22 Classification ensemble learning item response theory machine learning expectation maximization (EM) algorithm. |