Joint Symbol-Level Precoding and Reflecting Designs for IRS-Enhanced MU-MISO Systems [PDF]
, 2021 Intelligent reflecting surfaces (IRSs) have emerged as a revolutionary solution to enhance wireless communications by changing propagation environment in a cost-effective and hardware-efficient fashion.
Li, M, Liu, Q, Liu, R, Swindlehurst, AL
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On the capacity of channels with block memory [PDF]
, 1988 The capacity of channels with block memory is investigated. It is shown that, when the problem is modeled as a game-theoretic problem, the optimum coding and noise distributions when block memory is permitted are independent from symbol to symbol within ...
McEliece, Robert J., Stark, Wayne E.
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Maximum Distance Separable Codes for Symbol-Pair Read Channels [PDF]
, 2013 We study (symbol-pair) codes for symbol-pair read channels introduced recently by Cassuto and Blaum (2010). A Singleton-type bound on symbol-pair codes is established and infinite families of optimal symbol-pair codes are constructed.
Chengmin Wang +5 more
core +1 more source
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
doaj +1 more source
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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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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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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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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CapsNet-SSP: multilane capsule network for predicting human saliva-secretory proteins
BMC Bioinformatics, 2020 Background Compared with disease biomarkers in blood and urine, biomarkers in saliva have distinct advantages in clinical tests, as they can be conveniently examined through noninvasive sample collection.
Wei Du +5 more
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EGFAFS: A Novel Feature Selection Algorithm Based on Explosion Gravitation Field Algorithm
Entropy, 2022 Feature selection (FS) is a vital step in data mining and machine learning, especially for analyzing the data in high-dimensional feature space. Gene expression data usually consist of a few samples characterized by high-dimensional feature space.
Lan Huang, Xuemei Hu, Yan Wang, Yuan Fu
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