Editorial Board
Publisher’s Note
Intent-based resource matching strategy in cloud
Efficient ciphertext-policy attribute-based encryption with blackbox traceability
Differentially private distributed optimization for multi-agent systems via the augmented Lagrangian algorithm
Remarks on the cryptanalysis of common prime RSA for IoT constrained low power devices
Pareto dominance based Multiobjective Cohort Intelligence algorithm
A multilevel neighborhood sequential decision approach of three-way granular computing
Adaptive stock trading strategies with deep reinforcement learning methods
Differentially private publication of streaming trajectory data
Semantic trajectory representation and retrieval via hierarchical embedding
Quantum generative adversarial network for generating discrete distribution
Multiattribute decision method for comprehensive logistics distribution center location selection based on 2-dimensional linguistic information
Exponential operational laws and new aggregation operators for intuitionistic multiplicative set in multiple-attribute group decision making process
Adaptively secure certificate-based broadcast encryption and its application to cloud storage service
Ordered pair of normalized real numbers
Covering-based variable precision fuzzy rough sets with PROMETHEE-EDAS methods
Measures associated with granularity and rough approximations in interval-valued information tables based on kernel similarity relations
Ranking via partial ordering for answer selection
Posterior concentration and fast convergence rates for generalized Bayesian learning
Error-tolerant label prior for interactive image segmentation
On relationship between three-way concept lattices
Generalized decomposition integral
Improved recurrent generative adversarial networks with regularization techniques and a controllable framework
Bi-objective optimization of biclustering with binary data
Resilient decentralized sampled-data H∞ filter design for linear interconnected systems subject to denial-of-service attacks
An accurate and dynamic predictive model for a smart M-Health system using machine learning