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Future Generation Computer Systems （FGCS） - Volume 125 论文列表

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卷期号： Volume 125
发布时间： December 2021
卷期年份： 2021
卷期官网： https://www.sciencedirect.com/journal/future-generation-computer-systems/vol/125/suppl/C
本期论文列表
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