OPEN ACCESS
- Trustworthy and efficient project scheduling in IIoT based on smart contracts and edge computing
- Harmonized technical standard test methods for quality evaluation of medical fluorescence endoscopic imaging systems
- Advancing breast cancer diagnosis: token vision transformers for faster and accurate classification of histopathology images
- Virtual machine scheduling and migration management across multi-cloud data centers: blockchain-based versus centralized frameworks
- Personalized client-edge-cloud hierarchical federated learning in mobile edge computing
- Semi-supervised contour-driven broad learning system for autonomous segmentation of concealed prohibited baggage items
- Multi party confidential verifiable electronic voting scheme based on blockchain
- Cyber attack detection in IOT-WSN devices with threat intelligence using hidden and connected layer based architectures
- Energy consumption forecasting for laser manufacturing of large artifacts based on fusionable transfer learning
- Impacts of data consistency levels in cloud-based NoSQL for data-intensive applications
- A hybrid machine learning model with self-improved optimization algorithm for trust and privacy preservation in cloud environment
- Computational analysis of variability and uncertainty in the clinical reference on magnetic resonance imaging radiomics: modelling and performance
- Survey of real-time brainmedia in artistic exploration
- Optimization of datacenter selection through a genetic algorithm-driven service broker policy
- Building integrated assessment model for IoT technology deployment in the Industry 4.0
- Privacy-enhanced distributed revocable identity management scheme based self-sovereign identity
- COPSA: a computation offloading strategy based on PPO algorithm and self-attention mechanism in MEC-empowered smart factories
- Multi-agent Deep Reinforcement Learning for cloud-based digital twins in power grid management
- I-MPaFS: enhancing EDoS attack detection in cloud computing through a data-driven approach
- Achieving view-distance and -angle invariance in motion prediction using a simple network
- Real-time volume rendering for three-dimensional fetal ultrasound using volumetric photon mapping
- Explainable AI-based innovative hybrid ensemble model for intrusion detection
- PPDNN-CRP: privacy-preserving deep neural network processing for credit risk prediction in cloud: a homomorphic encryption-based approach
- BGFL: a blockchain-enabled group federated learning at wireless industrial edges
- A systematic review on blockchain-based access control systems in cloud environment
- Cost modelling and optimisation for cloud: a graph-based approach
- Optimization model for vehicular network data queries in edge environments
- A multi-strategy ontology mapping method based on cost-sensitive SVM
- Pain assessment from facial expression images utilizing Statistical Frei-Chen Mask (SFCM)-based features and DenseNet
- A study on the influence of situations on personal avatar characteristics
- Noise suppression in photon-counting computed tomography using unsupervised Poisson flow generative models
- A cost-efficient content distribution optimization model for fog-based content delivery networks
- Toward security quantification of serverless computing
- SMedIR: secure medical image retrieval framework with ConvNeXt-based indexing and searchable encryption in the cloud
- A trusted IoT data sharing method based on secure multi-party computation
- 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
- Medical image registration and its application in retinal images: a review
- Predictive digital twin driven trust model for cloud service providers with Fuzzy inferred trust score calculation
- 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
- IQAGPT: computed tomography image quality assessment with vision-language and ChatGPT models
- Adaptive heuristic edge assisted fog computing design for healthcare data optimization
- 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
- An intelligent decision system for virtual machine migration based on specific Q-learning
- Revolutionizing anemia detection: integrative machine learning models and advanced attention mechanisms
- Enhancing intrusion detection: a hybrid machine and deep learning approach
- 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
ABSTRACT
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