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Information Sciences （ISCI） - Volume 484 论文列表

点击这里查看 Information Sciences 的JCR分区、影响因子等信息
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