Information Sciences （ISCI） - Volume 523 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 523 |
| 发布时间： June 2020 |
| 卷期年份： 2020 |
| 卷期官网： https://www.sciencedirect.com/journal/information-sciences/vol/523/suppl/C |
本期论文列表
Editorial Board
TSI: Time series to imaging based model for detecting anomalous energy consumption in smart buildings
Noise-robust image fusion with low-rank sparse decomposition guided by external patch prior
A feature-vector generative adversarial network for evading PDF malware classifiers
A dynamic multi-objective evolutionary algorithm based on intensity of environmental change
Three-way decisions based blocking reduction models in hierarchical classification
Evolutionary approach for large-Scale mine scheduling
A multi-period multi-objective optimization framework for software enhancement and component evaluation, selection and integration
Three-way decisions of rough vague sets from the perspective of fuzziness
An advisable facial semantic characterization based on Axiomatic Fuzzy Set theory and information granules
A genetic algorithm for constructing bijective substitution boxes with high nonlinearity
PUMAD: PU Metric learning for anomaly detection
Globally fuzzy leader-follower consensus of mixed-order nonlinear multi-agent systems with partially unknown direction control
Group decision making with heterogeneous intuitionistic fuzzy preference relations
Natural language modeling with syntactic structure dependency
Processing knowledge graph-based complex questions through question decomposition and recomposition
Multi-objective feature selection using hybridization of a genetic algorithm and direct multisearch for key quality characteristic selection
Knowledge modeling via contextualized representations for LSTM-based personalized exercise recommendation
tpSpMV: A two-phase large-scale sparse matrix-vector multiplication kernel for manycore architectures
Quantization-based event-triggered sliding mode tracking control of mechanical systems
Haze pollution causality mining and prediction based on multi-dimensional time series with PS-FCM