Editorial Board
Energy-efficient and secure mobile fog-based cloud for the Internet of Things
FlexVF: Adaptive network device services in a virtualized environment
A secure and lightweight certificateless hybrid signcryption scheme for Internet of Things
Hybrid market-based resources allocation in Mobile Edge Computing systems under stochastic information
Automated evolutionary approach for the design of composite machine learning pipelines
Load balancing with traffic isolation in data center networks
Optimal data placement strategy considering capacity limitation and load balancing in geographically distributed cloud
Anonymous Traceability protocol based on Group Signature for Blockchain
A Q-learning approach for the autoscaling of scientific workflows in the Cloud
Exploiting multi-level parallel metaheuristics and heterogeneous computing to boost phylogenetics
Blockchain-enabled feedback-based combinatorial double auction for cloud markets
Cost-effective crowdsourced join queries for entity resolution without prior knowledge
A formal analysis of performance-security tradeoffs under frequent task reconfigurations
A lightweight supervised intrusion detection mechanism for IoT networks
AI-assisted Computer Network Operations testbed for Nature-Inspired Cyber Security based adaptive defense simulation and analysis
Fault localization based on wide & deep learning model by mining software behavior
A distributed Monte Carlo based linear algebra solver applied to the analysis of large complex networks
Scenario prediction of public health emergencies using infectious disease dynamics model and dynamic Bayes
Lattice-based public key searchable encryption with fine-grained access control for edge computing
CVFuzz: Detecting complexity vulnerabilities in OpenCL kernels via automated pathological input generation
DAVINCI: online and Dynamic Adaptation of eVolvable vIrtual Network services over Cloud Infrastructures
Network embedding based link prediction in dynamic networks
PSO-weighted random forest for attractive tourism spots recommendation
Byte embeddings for file fragment classification
Reliable customer analysis using federated learning and exploring deep-attention edge intelligence
Feature recognition of irregular pellet images by regularized Extreme Learning Machine in combination with fractal theory
A wearable-based posture recognition system with AI-assisted approach for healthcare IoT
A privacy-protected intelligent crowdsourcing application of IoT based on the reinforcement learning
An Anti-Malicious Task Allocation Mechanism in Crowdsensing Systems
An adaptive federated learning scheme with differential privacy preserving
Radial Basis Function Network with Differential Privacy
Autoencoder-based feature construction for IoT attacks clustering
XSRU-IoMT: Explainable simple recurrent units for threat detection in Internet of Medical Things networks
Prostate cancer classification from ultrasound and MRI images using deep learning based Explainable Artificial Intelligence
An end-to-end deep learning model for robust smooth filtering identification
Real-time epileptic seizure recognition using Bayesian genetic whale optimizer and adaptive machine learning
Discovering prerequisite relations from educational documents through word embeddings
Learning behaviours data in programming education: Community analysis and outcome prediction with cleaned data
Is it a good move? Mining effective tutoring strategies from human–human tutorial dialogues
Guest Editorial of the FGCS Special Issue on Advances in Intelligent Systems for Online Education
Enabling cross-continent provider fairness in educational recommender systems
