Results 21 to 30 of about 493,316 (299)
Current Opinion in Psychology, 2020 Recent research on social movements have shown the significant role protest symbols play in mobilizing action and constructing a shared identity for a group pressing for social change. The present article gives an overview of crowd and social movement theories that focus on how symbols form and maintain groups.
Sarah H Awad, Brady Wagoner
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BIFFOA: A Novel Binary Improved Fruit Fly Algorithm for Feature Selection
IEEE Access, 2019 Feature selection is an important method to reduce the number of attributes of high-dimensional data and an essential preprocess work in classification.
Yun Hou +3 more
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3D ROC Histogram: A New ROC Analysis Tool Incorporating Information on Instances
IEEE Access, 2019 While Receiver Operator Characteristic (ROC) curves have been a standard tool in the design and evaluation of binary classification problems, they have sometimes been blamed for ignoring some vital information in the evaluation process, such as predicted
Rui Guo, Xuanjing Shen, Xiaoli Zhang
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A Purely Symbol-Based Precoded and LDPC-Coded Iterative-Detection Assisted Sphere-Packing Modulated Space-Time Coding Scheme [PDF]
, 2006 In this contribution, we propose a purely symbol-based LDPC-coded scheme based on a Space-Time Block Coding (STBC) signal construction method that combines orthogonal design with sphere packing, referred to here as (STBCSP).
Alamri, O. +3 more
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Overhead Analysis and Evaluation of Approaches to Host-Based Bot Detection
International Journal of Distributed Sensor Networks, 2015 Host-based bot detection approaches discover malicious bot processes by signature comparison or behavior analysis. Existing approaches have low performance which has become a bottleneck blocking its wider deployment.
Yuede Ji, Qiang Li, Yukun He, Dong Guo
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A Novel Multi-Thread Parallel Constraint Propagation Scheme
IEEE Access, 2019 Constraint Programming (CP) is an efficient technique for solving combinatorial (optimization) problems. In modern constraint solver, a CP Model is defined over reversible variables that take values in domains and propagators which filter the domains of ...
Zhe Li +4 more
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On the optimality of symbol-by-symbol filtering and denoising [PDF]
IEEE Transactions on Information Theory, 2004 This paper describes the optimality of symbol by symbol filtering and denoising and considers the problem of optimally recovering a discrete-time valued stochastic process from a noisy observation process. For binary Markov input process singlet filtering and denoising are optimal.
Erik Ordentlich, Tsachy Weissman
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An Efficient v-Minimum Absolute Deviation Distribution Regression Machine
IEEE Access, 2020 Support Vector Regression (SVR) and its variants are widely used regression algorithms, and they have demonstrated high generalization ability. This research proposes a new SVR-based regressor: v-minimum absolute deviation distribution regression (v-MADR)
Yan Wang +6 more
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A multi-task positive-unlabeled learning framework to predict secreted proteins in human body fluids
Complex & Intelligent Systems, 2023 Body fluid biomarkers are very important, because they can be detected in a non-invasive or minimally invasive way. The discovery of secreted proteins in human body fluids is an essential step toward proteomic biomarker identification for human diseases.
Kai He, Yan Wang, Xuping Xie, Dan Shao
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DenSec: Secreted Protein Prediction in Cerebrospinal Fluid Based on DenseNet and Transformer
Mathematics, 2022 Cerebrospinal fluid (CSF) exists in the surrounding spaces of mammalian central nervous systems (CNS); therefore, there are numerous potential protein biomarkers associated with CNS disease in CSF.
Lan Huang +4 more
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