Editorial Board
Congestion avoidance transmission mechanism based on two-dimensional forwarding
Semantic-aware data quality assessment for image big data
Quantifying the adaptability of workflow-based service compositions
Two-stage game theoretical framework for IaaS market share dynamics
Mining high occupancy itemsets
Performance analysis of single board computer clusters
Neural network based multi-objective evolutionary algorithm for dynamic workflow scheduling in cloud computing
A social emotion classification approach using multi-model fusion
A positional keyword-based approach to inferring fine-grained message formats
Reducing network cost of data repair in erasure-coded cross-datacenter storage
Deep learning to filter SMS Spam
Concurrent container scheduling on heterogeneous clusters with multi-resource constraints
Exploring the cognitive process for service task in smart home: A robot service mechanism
PTCP: A priority-based transport control protocol for timeout mitigation in commodity data center
A deep learning approach for atrial fibrillation signals classification based on convolutional and modified Elman neural network
Abnormal behavior detection using resource level to service level metrics mapping in virtualized systems
Osmotic computing-based service migration and resource scheduling in Mobile Augmented Reality Networks (MARN)
3D multi-UAV cooperative velocity-aware motion planning
Energy-efficient and quality-aware VM consolidation method
Investigation in the influences of public opinion indicators on vegetable prices by corpora construction and WeChat article analysis
TD-Root: A trustworthy decentralized DNS root management architecture based on permissioned blockchain
Automating orthogonal defect classification using machine learning algorithms
Internet of Knowledge
Special issue on future networks & pervasive systems
Performance evaluation of elephant flow predictors in data center networking
IoT network slicing on virtual layers of homogeneous data for improved algorithm operation in smart buildings
Incentive evolutionary game model for opportunistic social networks
Wide-grained capsule network with sentence-level feature to detect meteorological event in social network
On the use of distributed semantics of tweet metadata for user age prediction
Enhancing the classification of social media opinions by optimizing the structural information
Analyzing urban mobility paths based on users’ activity in social networks
A novel machine natural language mediation for semantic document exchange in smart city
Privacy preserving remote multi-server biometric authentication using cancelable biometrics and secret sharing
Interactive three-dimensional visualization of network intrusion detection data for machine learning
ARIES: Evaluation of a reliable and privacy-preserving European identity management framework
PR-KELM: Icing level prediction for transmission lines in smart grid
A general framework based on dynamic multi-objective evolutionary algorithms for handling feature drifts on data streams
A non-canonical hybrid metaheuristic approach to adaptive data stream classification
CO-STAR: A collaborative prediction service for short-term trends on continuous spatio-temporal data
A new optimization algorithm for non-stationary time series prediction based on recurrent neural networks
Cognitive multi-agent empowering mobile edge computing for resource caching and collaboration
Integrating aspect analysis and local outlier factor for intelligent review spam detection
Q-learning based collaborative cache allocation in mobile edge computing
Cervical cancer classification using convolutional neural networks and extreme learning machines
AI-enabled emotion-aware robot: The fusion of smart clothing, edge clouds and robotics
Intelligent task prediction and computation offloading based on mobile-edge cloud computing
Agent-based Internet of Things: State-of-the-art and research challenges
Fast and effective Big Data exploration by clustering
GLR: A graph-based latent representation model for successive POI recommendation
Towards automated feature engineering for credit card fraud detection using multi-perspective HMMs
A UAV-assisted CH election framework for secure data collection in wireless sensor networks
Static malware detection and attribution in android byte-code through an end-to-end deep system
PoRX: A reputation incentive scheme for blockchain consensus of IIoT
A decentralised approach to privacy preserving trajectory mining
MudraChain: Blockchain-based framework for automated cheque clearance in financial institutions
Blockchain data-based cloud data integrity protection mechanism
Metamorphic data sources: A user-centric paradigm to consume linked data in interactive workspaces
An efficient Lightweight integrated Blockchain (ELIB) model for IoT security and privacy
ADeLe: A description language for approximate hardware
Improving locality of explicit one-step methods on GPUs by tiling across stages and time steps
Exploiting potential of deep neural networks by layer-wise fine-grained parallelism
A machine learning approach for packet loss prediction in science flows
Averaged dependence estimators for DoS attack detection in IoT networks
Intelligence and security in big 5G-oriented IoNT: An overview
Physical layer security based on NOMA and AJ for MISOSE channels with an untrusted relay
Dissecting Ponzi schemes on Ethereum: Identification, analysis, and impact
ECDSA weak randomness in Bitcoin
A cloud-edge based data security architecture for sharing and analysing cyber threat information
Secure Cloud-Edge Deployments, with Trust
Optimization of lightweight task offloading strategy for mobile edge computing based on deep reinforcement learning
An optimal delay aware task assignment scheme for wireless SDN networked edge cloudlets
The evolution of structural balance in time-varying signed networks
Raphtory: Streaming analysis of distributed temporal graphs
CUDA-JMI: Acceleration of feature selection on heterogeneous systems
BOOTABLE: Bioinformatics benchmark tool suite for applications and hardware
Optimization of uplink rate and fronthaul compression in cloud radio access networks
A stealthy covert storage channel for asymmetric surveillance VoLTE endpoints
Unbalanced private set intersection cardinality protocol with low communication cost
π-Hub: Large-scale video learning, storage, and retrieval on heterogeneous hardware platforms
A novel data-driven robust framework based on machine learning and knowledge graph for disease classification
Monte Carlo computer simulation of a camera system for proton beam range verification in cancer treatment
Managing a pool of rules for credit card fraud detection by a Game Theory based approach
A new chain coding mechanism for compression stimulated by a virtual environment of a predator–prey ecosystem
Knowledge elicitation based on genetic programming for non destructive testing of critical aerospace systems
Analytical modeling of performance indices under epistemic uncertainty applied to cloud computing systems
A decentralised approach for link inference in large signed graphs
