OPEN ACCESS
- Wind power prediction method based on cloud computing and data privacy protection
- Dependency-aware online task offloading based on deep reinforcement learning for IoV
- Machine learning approach for the prediction of macrosomia
- Using blockchain and AI technologies for sustainable, biodiverse, and transparent fisheries of the future
- Predictive digital twin driven trust model for cloud service providers with Fuzzy inferred trust score calculation
- Medical image registration and its application in retinal images: a review
- When wavelet decomposition meets external attention: a lightweight cloud server load prediction model
- Compliance and feedback based model to measure cloud trustworthiness for hosting digital twins
- SSF-CDW: achieving scalable, secure, and fast OLAP query for encrypted cloud data warehouse
- Human digital twin: a survey
- Deep learning based enhanced secure emergency video streaming approach by leveraging blockchain technology for Vehicular AdHoc 5G Networks
- Energy-aware tasks offloading based on DQN in medical mobile devices
- Adaptive heuristic edge assisted fog computing design for healthcare data optimization
- IQAGPT: computed tomography image quality assessment with vision-language and ChatGPT models
- Optimizing energy efficiency in MEC networks: a deep learning approach with Cybertwin-driven resource allocation
- Attack detection model for BCoT based on contrastive variational autoencoder and metric learning
- MDB-KCP: persistence framework of in-memory database with CRIU-based container checkpoint in Kubernetes
- Correction: Omni-dimensional dynamic convolution feature coordinate attention network for pneumonia classification
- Enhancing intrusion detection: a hybrid machine and deep learning approach
- An intelligent decision system for virtual machine migration based on specific Q-learning
- Revolutionizing anemia detection: integrative machine learning models and advanced attention mechanisms
- Real-time scheduling of power grid digital twin tasks in cloud via deep reinforcement learning
- Omni-dimensional dynamic convolution feature coordinate attention network for pneumonia classification
- Non-invasively identifying candidates of active surveillance for prostate cancer using magnetic resonance imaging radiomics
- ASOD: an adaptive stream outlier detection method using online strategy
- Two-step hierarchical binary classification of cancerous skin lesions using transfer learning and the random forest algorithm
- Detection of cotton leaf curl disease’s susceptibility scale level based on deep learning
- Automated visual quality assessment for virtual and augmented reality based digital twins
- Unified ensemble federated learning with cloud computing for online anomaly detection in energy-efficient wireless sensor networks
- Flipover outperforms dropout in deep learning
- Edge intelligence-assisted animation design with large models: a survey
- Target tracking using video surveillance for enabling machine vision services at the edge of marine transportation systems based on microwave remote sensing
- Multiple objectives dynamic VM placement for application service availability in cloud networks
- A secure and efficient electronic medical record data sharing scheme based on blockchain and proxy re-encryption
- Investigation on storage level data integrity strategies in cloud computing: classification, security obstructions, challenges and vulnerability
- Enhanced mechanism to prioritize the cloud data privacy factors using AHP and TOPSIS: a hybrid approach
- A fog-edge-enabled intrusion detection system for smart grids
- Dynamic routing optimization in software-defined networking based on a metaheuristic algorithm
- Multi-type concept drift detection under a dual-layer variable sliding window in frequent pattern mining with cloud computing
- Correction: Multi-task approach based on combined CNN-transformer for efficient segmentation and classification of breast tumors in ultrasound images
- Evaluation of AI tools for healthcare networks at the cloud-edge interaction to diagnose autism in educational environments
- Predicting the individual effects of team competition on college students’ academic performance in mobile edge computing
- Harmfulness metrics in digital twins of social network rumors detection in cloud computing environment
- Transformative synergy: SSEHCET—bridging mobile edge computing and AI for enhanced eHealth security and efficiency
- Multiobjective trajectory optimization algorithms for solving multi-UAV-assisted mobile edge computing problem
- Graph convolution networks for social media trolls detection use deep feature extraction
- Challenges in remote sensing based climate and crop monitoring: navigating the complexities using AI
- DenMerD: a feature enhanced approach to radar beam blockage correction with edge-cloud computing
- A multi-classification detection model for imbalanced data in NIDS based on reconstruction and feature matching
- Blockchain-cloud privacy-enhanced distributed industrial data trading based on verifiable credentials
- Convolutional neural network based data interpretable framework for Alzheimer’s treatment planning
- An enhanced state-aware model learning approach for security analysis in lightweight protocol implementations
- Secure semantic search using deep learning in a blockchain-assisted multi-user setting
- MSFANet: multi-scale fusion attention network for mangrove remote sensing lmage segmentation using pattern recognition
- Multi-task approach based on combined CNN-transformer for efficient segmentation and classification of breast tumors in ultrasound images
- Predictive mobility and cost-aware flow placement in SDN-based IoT networks: a Q-learning approach
- Improving efficiency of DNN-based relocalization module for autonomous driving with server-side computing
- A new method of dynamic network security analysis based on dynamic uncertain causality graph
- Task offloading exploiting grey wolf optimization in collaborative edge computing
- Cloud-SMPC: two-round multilinear maps secure multiparty computation based on LWE assumption
- Blockchain-enabled supervised secure data sharing and delegation scheme in Web3.0
- Advanced series decomposition with a gated recurrent unit and graph convolutional neural network for non-stationary data patterns
- Innovative deep learning techniques for monitoring aggressive behavior in social media posts
- An improved ACO based service composition algorithm in multi-cloud networks
- SLA-ORECS: an SLA-oriented framework for reallocating resources in edge-cloud systems
- CT-based radiomics: predicting early outcomes after percutaneous transluminal renal angioplasty in patients with severe atherosclerotic renal artery stenosis
- Multivariate time series collaborative compression for monitoring systems in securing cloud-based digital twin
- An adaptive routing strategy in P2P-based Edge Cloud
- The key security management scheme of cloud storage based on blockchain and digital twins
- Small object Lentinula Edodes logs contamination detection method based on improved YOLOv7 in edge-cloud computing
- A resource competition-based truthful mechanism for IoV edge computing resource allocation with a lowest revenue limit
- Towards explainability for AI-based edge wireless signal automatic modulation classification
- An efficient hybrid optimization of ETL process in data warehouse of cloud architecture
- A knowledge-graph based text summarization scheme for mobile edge computing
- Edge-cloud computing cooperation detection of dust concentration for risk warning research
- BGNBA-OCO based privacy preserving attribute based access control with data duplication for secure storage in cloud
- Context-aware environment online monitoring for safety autonomous vehicle systems: an automata-theoretic approach
- Genetic algorithm-based secure cooperative control for high-order nonlinear multi-agent systems with unknown dynamics
- Timed-release encryption anonymous interaction protocol based on smart contract
- A Transformer-based network intrusion detection approach for cloud security
- Time series forecasting model for non-stationary series pattern extraction using deep learning and GARCH modeling
- Enhancing trust transfer in supply chain finance: a blockchain-based transitive trust model
- Security strategy for autonomous vehicle cyber-physical systems using transfer learning
- Intelligent urbanism with artificial intelligence in shaping tomorrow’s smart cities: current developments, trends, and future directions
- Virtual machine placement in energy aware load balancer using fog classifier
- Investigating performance metrics for container-based HPC environments using x86 and OpenPOWER systems
ABSTRACT
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