Spatial Patterns of Soil Seed-Bank Related to Some Soil Properties
2001Precision agriculture requires new approaches to research that are designed explicitly to improve understanding of the complex interactions among multiple factors affecting crop growth and farm decision making. The variability of weed distribution is related to several pedoclimatic and agronomic factors.
S. Bocchi, A. Castrignanò, G. Gerosa
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Multiclass voluntary facial expression classification based on Filter Bank Common Spatial Pattern
2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2008This paper investigates the classification of voluntary facial expressions from electroencephalogram (EEG) and electromyogram (EMG) signals using the Filter Bank Common Spatial Pattern (FBCSP) algorithm. The FBCSP algorithm is an autonomous and effective machine learning approach for classifying two classes of EEG measurements in motor imagery-based ...
Zheng Yang, Chin +2 more
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Filter-bank local region complex-valued common spatial pattern for Motor imagery classification
2020 8th International Winter Conference on Brain-Computer Interface (BCI), 2020This paper represents a novel motor-imagery (MI) classification method based on a local region filter-bank common spatial pattern (LRFBCSP) using complexed form of electroencephalography (EEG) signals. LRFBCSP approach selects the MI-relevant local region which is constructed by individual channels and their neighbors by comparing their eigenvalue ...
Yongkoo Park, Wonzoo Chung
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A COMPARISON OF THE INTERNAL URBAN SPATIAL PATTERN OF UNIT AND BRANCH BANK OFFICES
The Professional Geographer, 1973(1973). A COMPARISON OF THE INTERNAL URBAN SPATIAL PATTERN OF UNIT AND BRANCH BANK OFFICES. The Professional Geographer: Vol. 25, No. 4, pp. 353-356.
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Composite Filter Bank Common Spatial Pattern for motor imagery-based Brain-Computer Interface
2011 IEEE Symposium on Computational Intelligence, Cognitive Algorithms, Mind, and Brain (CCMB), 2011The Filter Bank Common Spatial Pattern (FBCSP) algorithm employs multiple spatial filters across a bank of band-pass filtered EEC using the CSP algorithm. This is as opposed to the commonly used single spatial filter from band-pass filtered EEC. Hence, the FBCSP yields improved performance in autonomous selection of key temporal-spatial discriminative ...
Kai Keng Ang +3 more
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An electroencephalography (EEG)-based Motor Imagery Brain-Computer Interface (MI-BCI) requires a long setup time if a large number of channels is used, and EEG from noisy or irrelevant channels may adversely affect the classification performance. To address this issue, this paper proposed 2 approaches to systematically select discriminative channels ...
Zheng Yang Chin +3 more
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A Method Based on Filter Bank Common Spatial Pattern for Multiclass Motor Imagery BCI
2019The Common Spatial Pattern (CSP) algorithm is capable of solving the binary classification problem for the motor image task brain-computer interface (BCI). This paper proposes a novel method based on the Filter Bank Common Spatial Pattern (FBCSP) termed the Multiscale and Overlapping FBCSP (MO-FBCSP). We extend the CSP algorithm for multiclass by using
Ziqing Xia, Likun Xia, Ming Ma 0004
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Multiclass MI-Task Classification Using Logistic Regression and Filter Bank Common Spatial Patterns
2020We proposed a classification technique of EEG motor imagery signals using Logistic regression and feature extraction algorithm using filter bank common spatial pattern (FBCSP). Main theme of FBCSP is that the signals decomposed into 5 sub band then calculated CSP for each sub band, this algorithm also allows automated frequency band selection.
Md. Mahmudul Haque Joy +7 more
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Multi-class filter bank common spatial pattern for four-class motor imagery BCI
2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2009This paper investigates the classification of multi-class motor imagery for electroencephalogram (EEG)-based Brain-Computer Interface (BCI) using the Filter Bank Common Spatial Pattern (FBCSP) algorithm. The FBCSP algorithm classifies EEG measurements from features constructed using subject-specific temporal-spatial filters.
Zheng Yang, Chin +4 more
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Spatial Pattern Detection and BP Neural Network Analysis of Bank Mesh Point in Urban Area
2009 Fifth International Conference on Natural Computation, 2009In order to explore the spatial pattern of bank mesh point and its formation mechanism in urban areas, ESDA-GIS is used in this paper to investigate the mesh point of Agricultural Bank of China (ABC) and its impact factors. And the types of agglomerative are also summarized in this study.
Junjie Ma +3 more
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