Results 21 to 30 of about 7,409 (173)

A Novel Gated Recurrent Unit Network Based on SVM and Moth-Flame Optimization Algorithm for Behavior Decision-Making of Autonomous Vehicles

IEEE Access, 2021
The behavior decision-making algorithm plays an important role in ensuring the safe driving of autonomous vehicles. However, existing behavior decision-making methods lack the capability to cope with future motion uncertainty in traffic, because the ...
Taiqiao Yin, Ying Li, Jiahao Fan, Tan Wang, Yunxia Shi   +4 more
doaj   +1 more source

SFA: Small Faces Attention Face Detector

IEEE Access, 2019
Tremendous strides have been made in face detection thanks to convolutional neural network. However, the performance of previous face detectors deteriorates dramatically as the face scale shrinks.
Shi Luo, Xiongfei Li, Rui Zhu, Xiaoli Zhang   +3 more
doaj   +1 more source

Understanding socialbot behavior on end hosts

International Journal of Distributed Sensor Networks, 2017
Server-side socialbot detection approaches can identify malicious accounts and spams in online social networks. However, they cannot detect socialbot processes, residing on user hosts, which control these accounts. Therefore, new approaches are needed to
Yukun He, Qiang Li, Jian Cao, Yuede Ji, Dong Guo   +4 more
doaj   +1 more source

Satisfiability checking and symbolic computation [PDF]

ACM Communications in Computer Algebra, 2017
Symbolic Computation and Satisfiability Checking are viewed as individual research areas, but they share common interests in the development, implementation and application of decision procedures for arithmetic theories. Despite these commonalities, the two communities are currently only weakly connected.
Erika Ábrahám, John Abbott, Bernd Becker 0001, Anna Maria Bigatti, Martin Brain, Bruno Buchberger, Alessandro Cimatti, James H. Davenport, Matthew England 0001, Pascal Fontaine, Stephen Forrest, Alberto Griggio, Daniel Kroening, Werner M. Seiler, Thomas Sturm 0001   +14 more
openaire   +6 more sources

Detection and Independent Validation of Model-Based Quantitative Transcriptional Regulation Relationships Altered in Lung Cancers

Frontiers in Bioengineering and Biotechnology, 2020
Differential expressions of genes are widely evaluated for the diagnosis and prognosis correlations with diseases. But limited studies investigate how transcriptional regulations are quantitatively altered in diseases.
Meiyu Duan, Haoqiu Song, Haoqiu Song, Chaoyu Wang, Jiaxin Zheng, Hui Xie, Yupeng He, Lan Huang, Fengfeng Zhou   +8 more
doaj   +1 more source

GroupFound: An effective approach to detect suspicious accounts in online social networks

International Journal of Distributed Sensor Networks, 2017
Online social networks are an important part of people’s life and also become the platform where spammers use suspicious accounts to spread malicious URLs.
Bo Feng, Qiang Li, Xiaowen Pan, Jiahao Zhang, Dong Guo   +4 more
doaj   +1 more source

MuscNet, a Weighted Voting Model of Multi-Source Connectivity Networks to Predict Mild Cognitive Impairment Using Resting-State Functional MRI

IEEE Access, 2020
The neurological disorder mild cognitive impairment (MCI) demonstrates minor impacts on the patient's daily activities and may be ignored as the status of normal aging.
Jialiang Li, Zhaomin Yao, Meiyu Duan, Shuai Liu, Fei Li, Haiyang Zhu, Zhiqiang Xia, Lan Huang, Fengfeng Zhou   +8 more
doaj   +1 more source

The unpolarized and polarized single-mass three-loop heavy flavor operator matrix elements A gg,Q and ∆A gg,Q

Journal of High Energy Physics, 2022
We calculate the gluonic massive operator matrix elements in the unpolarized and polarized cases, A gg,Q (x, μ 2) and ∆A gg,Q (x, μ 2), at three-loop order for a single mass.
J. Ablinger, A. Behring, J. Blümlein, A. De Freitas, A. Goedicke, A. von Manteuffel, C. Schneider, K. Schönwald   +7 more
doaj   +1 more source

Constrained Consistency Modeling for Attributed Network Embedding

IEEE Access, 2019
Network embedding has emerged as a fundamental approach to network analysis tasks. Its main purpose is to learn a suitable mapping function to convert nodes in networks into a low-dimensional representations.
Xuan Zang, Bo Yang, Shuang Yang, Hechang Chen   +3 more
doaj   +1 more source

The OCS-SVM: An Objective-Cost-Sensitive SVM With Sample-Based Misclassification Cost Invariance

IEEE Access, 2019
Studies on the traditional support vector machine (SVM) implicitly assume that the costs of different types of mistakes are the same and minimize the error rate.
Shuang Yu, Xiongfei Li, Xiaoli Zhang, Hancheng Wang   +3 more
doaj   +1 more source