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检索条件"主题词=and pattern recognition"
7 条 记 录,以下是1-10 订阅
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Performance Evaluation of HD-sEMG Electrode Configurations on Myoelectric Based pattern recognition System: High-Level Amputees
Performance Evaluation of HD-sEMG Electrode Configurations o...
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IEEE International Workshop on Metrology for Industry 4.0 and IoT (MetroInd4.0 and IoT)
作者: Jarrah, Yazan Ali Asogbon, Mojisola Grace Samuel, Oluwarotimi Williams Nsugbe, Ejay Chen, Shixiong Li, Guanglin UCAS Shenzhen Coll Adv Tech SIAT CAS CAS Key Lab Human Machine Intelligence Synergy Sy Shenzhen Peoples R China SIAT CAS CAS Key Lab Human Machine Intelligence Synergy Sy Shenzhen Peoples R China Nsugbe Res Labs Swindon Wilts England
Myoelectric pattern recognition (MPR) based strategies are widely adopted in prostheses control to restore lost limb functions in amputees. In the MPR pipeline, high density (HD) surface electromyogram (sEMG) signals ... 详细信息
来源: 评论
A Voltammetric Electronic Tongue for Detecting Energetic Compounds in Water
A Voltammetric Electronic Tongue for Detecting Energetic Com...
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12th IEEE International Conference on Technologies for Homeland Security (HST)
作者: Deschamp, B. Cho, J. Robertson, S. Ponrathnam, T. Nagarajan, R. Kurup, P. Univ Massachusetts Lowell Dept Biomed Engn & Biotechnol Lowell MA 01854 USA Univ Massachusetts Lowell Dept Civil & Environm Engn Lowell MA 01854 USA Univ Massachusetts Lowell Dept Plast Engn Lowell MA 01854 USA
A voltammetric electronic tongue was developed for detecting energetic compounds in water, providing a rapid, real time method. For the presented study, a glassy carbon electrode, a platinum electrode, and a gold elec... 详细信息
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Content-based image retrieval using feature extraction & statistical pattern recognition techniques for environmental applications
Content-based image retrieval using feature extraction & sta...
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15th International Conference on Systems, Signals and Image Processing
作者: Theodossi, A. D. Tsihrintzis, G. A. Univ Piraeus Dept Informat Piraeus 18534 Greece
The maximization of the effective use of the planet's diminishing physical resources through the use of information resources seems to be one of the most significant mandates for the new century. The plethora and ... 详细信息
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Real-time automated 3D identification of biological microorganisms
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AIP Conference Proceedings 2007年 第1期949卷 10-17页
作者: Javidi, Bahram Moon, Inkyu Daneshpanah, Mehdi Dept. of Electrical and Computer Engineering U-2157 University of Connecticut Storrs CT USA 06269-2157
We present an overview of three-dimensional (3D) optical imaging systems for real-time automated 3D identification of biological microorganisms without time and labor intensive bio-chemical processing. The presented m... 详细信息
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Unsupervised Segmentation using Fuzzy Logic based Texture Spectrum for MRI Brain Images
Unsupervised Segmentation using Fuzzy Logic based Texture Sp...
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Conference of the World-Academy-of-Science-Engineering-and-Technology
作者: Jiji, G. Wiselin Ganesan, L. Anna Univ Madras 600025 Tamil Nadu India
Textures are replications, symmetries and combinations of various basic patterns, usually with some random variation one of the gray-level statistics. This article proposes a new approach to Segment texture images. Th... 详细信息
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Visual recognition: Evidence for two distinctive mechanisms from a PET study
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HUMAN BRAIN MAPPING 2001年 第2期12卷 110-119页
作者: Herath, P Kinomura, S Roland, PE Karolinska Inst Dept Neurosci Div Human Brain Res S-17177 Stockholm Sweden Tohoku Univ Inst Dev Aging & Canc Dept Radiol & Nucl Med Sendai Miyagi 980 Japan
In this study, we examined the hypothesis that two distinct sets of cortical areas subserve two dissociable neurophysiological mechanisms of visual recognition. We posited that one such mechanism uses category specifi... 详细信息
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A New Method to Construct FNN with Linear Output Neurons
A New Method to Construct FNN with Linear Output Neurons
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1998 Fourth International Conference Signal Processing
作者: Wang Xiangdong Chen Yongmei Shi Linchu Artificial Neural Network Group
In this paper,a new network-growing method for multilayer FNN is *** has the following distinctive *** network starts training with a small network and gradually grows its hidden *** activation function of its output ... 详细信息
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