Information Sciences （ISCI） - Volume 484 论文列表
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| 卷期号： Volume 484 |
| 发布时间： May 2019 |
| 卷期年份： 2019 |
| 卷期官网： https://www.sciencedirect.com/journal/information-sciences/vol/484/suppl/C |
本期论文列表
Editorial Board
Multigranulation rough set model based on granulation of attributes and granulation of attribute values
A novel method for classification of BCI multi-class motor imagery task based on Dempster–Shafer theory
Delay-independent dual-rate PID controller for a packet-based networked control system
EHNL: An efficient algorithm for mining high utility itemsets with negative utility value and length constraints
A novel H∞ tracking control scheme for periodic piecewise time-varying systems
New insight into the simultaneous policy update algorithms related to H∞ state feedback control
Imbalanced learning based on adaptive weighting and Gaussian function synthesizing with an application on Android malware detection
Hierarchical attribute based encryption with continuous leakage-resilience
Geometrically invariant color, shape and texture features for object recognition using multiple kernel learning classification approach
A new hybrid ensemble feature selection framework for machine learning-based phishing detection system
Fine-grained information flow control using attributes
PPTDS: A privacy-preserving truth discovery scheme in crowd sensing systems
A decision variable-based combinatorial optimization approach for interval-valued intuitionistic fuzzy MAGDM
Global fast finite-time partial state feedback stabilization of high-order nonlinear systems with dynamic uncertainties
One-trial correction of legacy AI systems and stochastic separation theorems
A lightweight machine learning-based authentication framework for smart IoT devices
A novel network optimization partner selection method based on collaborative and knowledge networks
Two-stage design method of robust deadlock control for automated manufacturing systems with a type of unreliable resources
Evaluation of statistical and machine learning models for time series prediction: Identifying the state-of-the-art and the best conditions for the use of each model
A performance guaranteed sampled-data event-triggered consensus approach for linear multi-agent systems
Fuzzy forecasting based on linear combinations of independent variables, subtractive clustering algorithm and artificial bee colony algorithm
Stochastic configuration networks with block increments for data modeling in process industries