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检索条件"主题词=adaptive classifier"
26 条 记 录,以下是1-10 订阅
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ACAT-transformer: adaptive classifier with attention-wise transformation for few-sample surface defect recognition
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ADVANCED ENGINEERING INFORMATICS 2024年 61卷
作者: Li, Zhaofu Gao, Liang Li, Xinyu Gao, Yiping Huazhong Univ Sci & Technol State Key Lab Intelligent Mfg Equipment & Technol Wuhan Peoples R China
Deep learning-based methods demonstrate acceptable performance on few-sample surface defect recognition, which is a pivotal instrument for quality control in intelligent manufacturing systems. However, deep learning m... 详细信息
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An adaptive classifier with a Nonparametric Local Filter for Brain-Computer Interface
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ENGINEERING LETTERS 2021年 第3期29卷 1231-1241页
作者: Jiang, Qin Zhang, Yi Ge, Gengyu Wang, Wei Chongqing Univ Posts & Telecommun Sch Comp Sci & Technol CO-400065 Chongqing Peoples R China Chongqing Univ Posts & Telecommun Adv Mfg & Automatizat Engn Lab Chongqing 400065 Peoples R China Chongqing Univ Posts & Telecommun Chongqing 400065 Peoples R China
A potential limitation of motor imagery (MI) based brain-computer interface (BCI) is that it usually takes a long time to record sufficient electroencephalogram (EEG) data for a robust classifier. Besides, the well-tr... 详细信息
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Buffer-based adaptive fuzzy classifier
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APPLIED INTELLIGENCE 2023年 第11期53卷 14448-14469页
作者: Debnath, Sajal Ahmed, Md Manjur Belhaouari, Samir Brahim Amagasa, Toshiyuki Rahman, Mostafijur Univ Barishal Dept Comp Sci & Engn Barishal 8254 Bangladesh Hamad Bin Khalifa Univ Coll Sci & Engn Div Informat & Comp Technol Doha Qatar Univ Tsukuba Ctr Computat Sci Tsukuba Ibaraki Japan Green Univ Bangladesh Dept Comp Sci & Engn Dhaka Bangladesh
In the age of a technological revolution, heterogeneous sources are generating streams of data at a high rate, and an online classification of these data can facilitate data mining and analysis. Among the available cl... 详细信息
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Classification of EEG Using adaptive SVM classifier with CSP and Online Recursive Independent Component Analysis
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SENSORS 2022年 第19期22卷 7596-7596页
作者: Antony, Mary Judith Sankaralingam, Baghavathi Priya Mahendran, Rakesh Kumar Gardezi, Akber Abid Shafiq, Muhammad Choi, Jin-Ghoo Hamam, Habib Loyola ICAM Coll Engn & Technol Dept Comp Sci & Engn Chennai 600034 Tamil Nadu India Rajalakshmi Engn Coll Dept Comp Sci & Engn Chennai 602105 Tamil Nadu India Veltech Multitech Dr Rangarajan Dr Sakunthala Eng Dept Elect & Commun Engn Chennai 600062 Tamil Nadu India COMSATS Univ Islamabad Dept Comp Sci Islamabad 45550 Pakistan Yeungnam Univ Dept Informat & Commun Engn Gyongsan 38541 South Korea Univ Moncton Fac Engn Moncton NB E1A 3E9 Canada Int Inst Technol & Management Libreville 1989 Gabon Univ Johannesburg Sch Elect & Elect Engn Sci Dept Elect Engn ZA-2006 Johannesburg South Africa Spectrum Knowledge Prod & Skills Dev Sfax 3027 Tunisia
An efficient feature extraction method for two classes of electroencephalography (EEG) is demonstrated using Common Spatial Patterns (CSP) with optimal spatial filters. However, the effects of artifacts and non-statio... 详细信息
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adaptive Hybrid classifier for Myoelectric Pattern Recognition Against the Interferences of Outlier Motion, Muscle Fatigue, and Electrode Doffing
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IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING 2019年 第5期27卷 1071-1080页
作者: Ding, Qichuan Zhao, Xingang Han, Jianda Bu, Chunguang Wu, Chengdong Northeastern Univ Fac Robot Sci & Engn Shenyang 110169 Liaoning Peoples R China Chinese Acad Sci Shenyang Inst Automat State Key Lab Robot Shenyang 110016 Liaoning Peoples R China Nankai Univ Coll Artificial Intelligence Tianjin 300071 Peoples R China
Traditional myoelectric prostheses that employ a static pattern recognition model to identify human movement intention from surface electromyography (sEMG) signals hardly adapt to the changes in the sEMG characteristi... 详细信息
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Energy-Efficient adaptive classifier Design for Mobile Systems  16
Energy-Efficient Adaptive Classifier Design for Mobile Syste...
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21st IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED)
作者: Takhirov, Zafar Wang, Joseph Saligrama, Venkatesh Joshi, Ajay Boston Univ Dept Elect & Comp Engn Boston MA 02215 USA
With the continuous increase in the amount of data that needs to be processed by digital mobile systems, energy-efficient computation has become a critical design constraint for mobile systems. In this paper, we propo... 详细信息
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Enhancement of Classification Accuracy of our adaptive classifier using Image Processing Techniques in the Field of Medical Data Mining  1
Enhancement of Classification Accuracy of our Adaptive Class...
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International Conference on Green Computing and Internet of Things (ICGCIoT)
作者: Chandra, Sneha Kaur, Maneet Lovely Profess Univ Sch Comp Sci & Engn Phagwara Punjab India
Medical Data Mining is one of the most challenging fields of Data Mining. The greatest challenge lies in classifying the diseases with high classification accuracy. In this research work, image processing techniques h... 详细信息
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Enhancement of Classification Accuracy of our adaptive classifier using Image Processing Techniques in the Field of Medical Data Mining
Enhancement of Classification Accuracy of our Adaptive Class...
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International Conference on Green Computing and Internet of Things
作者: Sneha Chandra Maneet Kaur Sch. of Comput. Sci. & Eng. Lovely Prof. Univ. Phagwara India
Medical Data Mining is one of the most challenging fields of Data Mining. The greatest challenge lies in classifying the diseases with high classification accuracy. In this research work, image processing techniques h... 详细信息
来源: 评论
A novel joint distinct subspace learning and dynamic distribution adaptation method for fault transfer diagnosis
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MEASUREMENT 2022年 203卷
作者: Xu, Huoyao Wang, Junlang Liu, Jie Peng, Xiangyu He, Chaoming Southwest Jiaotong Univ Sch Mech Engn Chengdu 610031 Peoples R China
Domain adaptation (DA) have achieved phased results in fault transfer diagnosis. However, there is still no unified framework that not only minimize geometrical shift but also minimize distribution shift of source and... 详细信息
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Towards adaptive Classification using Riemannian Geometry approaches in Brain-Computer Interfaces  7
Towards Adaptive Classification using Riemannian Geometry ap...
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7th International Winter Conference on Brain-Computer Interface (BCI)
作者: Kumar, Satyam Yger, Florian Lotte, Fabien Indian Inst Technol Kanpur Uttar Pradesh India INRIA Bordeaux France Univ PSL Univ Paris Dauphine LAMSADE CNRS Paris France INRIA LaBRI Bordeaux France
The omnipresence of non-stationarity and noise in Electroencephalogram signals restricts the ubiquitous use of Brain-Computer interface. One of the possible ways to tackle this problem is to adapt the computational mo... 详细信息
来源: 评论