Editorial Board
TireNet: A high recall rate method for practical application of tire defect type classification
Efficient heterogeneous matrix profile on a CPU + High Performance FPGA with integrated HBM
SDD: A trusted display of FIDO2 transaction confirmation without trusted execution environment
Syscall-BSEM: Behavioral semantics enhancement method of system call sequence for high accurate and robust host intrusion detection
Detecting fake images by identifying potential texture difference
High performance ant colony system based on GPU warp specialization with a static–dynamic balanced candidate set strategy
Research on the optimum synchronous network search data extraction based on swarm intelligence algorithm
Adversarial Deep Learning approach detection and defense against DDoS attacks in SDN environments
ISAG: IoT-enabled and Secrecy Aware Group-based handover scheme for e-health services in M2M communication network
Deep Spatial/temporal-level feature engineering for Tennis-based action recognition
Optimizing makespan and resource utilization for multi-DNN training in GPU cluster
A secure localization scheme based on trust assessment for WSNs using blockchain technology
Detecting malicious behavior in social platforms via hybrid knowledge- and data-driven systems
A big data-centric architecture metamodel for Industry 4.0
Efficient dynamic multi-replica auditing for the cloud with geographic location
Making data platforms smarter with MOSES
Visualization and deep-learning-based malware variant detection using OpCode-level features
Temporal sensitive heterogeneous graph neural network for news recommendation
MCFT-CNN: Malware classification with fine-tune convolution neural networks using traditional and transfer learning in Internet of Things
Higher-Order Multiple-Feature-based Community Evolution Model with Potential Applications in Criminal Network Investigation
FedRD: Privacy-preserving adaptive Federated learning framework for intelligent hazardous Road Damage detection and warning
MPdist-based missing data imputation for supporting big data analyses in IoT-based applications
A secure and efficient Internet of Things cloud encryption scheme with forensics investigation compatibility based on identity-based encryption
Defending CNN against privacy leakage in edge computing via binary neural networks
Unbalanced data processing using deep sparse learning technique
A novel frog chorusing recognition method with acoustic indices and machine learning
Parallel optimization of QoS-aware big service processes with discovery of skyline services
Towards parallelism detection of sequential programs with graph neural network
Massive-scale graph mining for e-commerce cold chain analysis and optimization
A fuzzy based Co-Operative Blackmailing Attack detection scheme for Edge Computing nodes in MANET-IOT environment
CShield: Enabling code privacy for Cyber–Physical systems
New approach to global data access in computational infrastructures
Energy-efficient VM scheduling based on deep reinforcement learning
Down for failure: Active power status monitoring
Textual analysis of traitor-based dataset through semi supervised machine learning
E-commerce products recognition based on a deep learning architecture: Theory and implementation
Deep transfer learning framework for the identification of malicious activities to combat cyberattack
A Softwarized Intrusion Detection System for the RPL-based Internet of Things networks
Spectrum utilization efficiency in CRNs with hybrid spectrum access and channel reservation: A comprehensive analysis under prioritized traffic
The NAS Parallel Benchmarks for evaluating C++ parallel programming frameworks on shared-memory architectures
Research on hierarchical clustering method based on partially-ordered Hasse graph
Data-flow driven optimal tasks distribution for global heterogeneous systems
Massive-scale complicated human action recognition: Theory and applications
A novel study on deep learning framework to predict and analyze the financial time series information
Human action recognition using attention based LSTM network with dilated CNN features
A novel sub-Kmeans based on co-training approach by transforming single-view into multi-view
Computational resource and cost prediction service for scientific workflows in federated clouds
Conceptualization and cases of study on cyber operations against the sustainability of the tactical edge
Energy-conscious optimization of Edge Computing through Deep Reinforcement Learning and two-phase immersion cooling
Self-aware distributed deep learning framework for heterogeneous IoT edge devices
Fingerprint pre-processing and feature engineering to enhance agricultural products categorization
Basketball shooting angle calculation and analysis by deeply-learned vision model
A computational drug repositioning model based on hybrid similarity side information powered graph neural network
A study on the AI-based online triage model for hospitals in sustainable smart city
Technical research on realizing remote intelligent diagnosis of petroleum drilling loss circulation under smart city strategy
Complex event detection for commodity distribution Internet of Things model incorporating radio frequency identification and Wireless Sensor Network
Semi-supervised classification-aware cross-modal deep adversarial data augmentation
Analysis and experimental research on stability characteristics of squatting posture of wearable lower limb exoskeleton robot
Incentive mechanism for collaborative distributed learning in Artificial Intelligence of Things
Collaborative APIs recommendation for Artificial Intelligence of Things with information fusion
Research on pedestrian detection technology based on the SVM classifier trained by HOG and LTP features
Collaborative algorithms that combine AI with IoT towards monitoring and control system
Redesigning compound TCP with cognitive edge intelligence for WiFi-based IoT
ETERS: A comprehensive energy aware trust-based efficient routing scheme for adversarial WSNs
PBC4occ: A novel contrast pattern-based classifier for one-class classification
Cloud-based privacy- and integrity-protecting density peaks clustering
PROTECTOR: An optimized deep learning-based framework for image spam detection and prevention
Editorial for FGCS special issue: Intelligent IoT systems for healthcare and rehabilitation
Representing emotions with knowledge graphs for movie recommendations
Assessing vulnerability to psychological distress during the COVID-19 pandemic through the analysis of microblogging content
Predicting user emotional tone in mental disorder online communities
DroneCOCoNet: Learning-based edge computation offloading and control networking for drone video analytics
ACSIMCD: A 2-phase framework for detecting meaningful communities in dynamic social networks
Hidden space deep sequential risk prediction on student trajectories
Data-driven detection and characterization of communities of accounts collaborating in MOOCs
Student success prediction using student exam behaviour
Attention monitoring for synchronous distance learning
