Channels - Parallel and extremely fast learning neural network for healthcare big data applications :: FRELIP Discovery

Similar Items: Parallel and extremely fast learning neural network for healthcare big data applications

Quick Look
Intelligent Load Balancing Framework for Distributed Big Data Processing System
Quick Look
A Physics-Informed Heterogeneous Graph Transformer Model for Managing Heterogeneous Big Data in Urban Construction Projects
Quick Look
A comprehensive survey on blockchain and IoT for healthcare security, efficiency and data interoperability
Quick Look
A Parallel Version of COCR Method for Solving Complex Symmetric Linear Systems
Quick Look
Blockchain-based big data model for public auditing in cloud storage using fully homomorphic encryption and modified future search heuristic approach
Quick Look
Cloud-native optimisation of UAV logistics for rural emergency healthcare under data scarcity
Quick Look
A cyber-attack detection model for IoT-IDS utilizing an Elman Recurrent Neural Network
Quick Look
TorusNet: a direction-specific graph neural network architecture for congestion-aware adaptive load-balanced routing in torus networks
Quick Look
A hybrid intrusion detection method based on multi-convolutional neural networks fusion and grey wolf optimizer
Quick Look
Trails to Gold-standard data: Harnessing scientific networks for dataset recommendation
Quick Look
A Systematic Review on the use of Deep Learning in Classifying Malicious Network Traffic
Quick Look
A hybrid evolutionary learning framework for resource optimization in federated learning over heterogeneous 6G IoT networks
Quick Look
Edge-cloud collaborative learning for large-scale physical education data processing
Quick Look
Learning to detect malicious bots in computer networks via heterophily-aware isotropic out-of-distribution detection
Quick Look
Homomorphic threshold detection for wireless sensor data using a privacy-preserving machine learning model
Quick Look
Modeling the Impact of Perceived Security and Privacy on Student Adoption of Mobile Learning Applications Beyond Functionality
Quick Look
Energy-Efficient and Privacy-Preserving Intrusion Detection in Edge-Based Networks Using Federated Self-Supervised Learning
Quick Look
Blockchain-enabled federated learning framework with hybrid CNN-LSTM anomaly detection for secure edge IoT networks
Quick Look
Federated Graph Attention Network for IoT Edge Anomaly Detection
Quick Look
An integrated machine learning and deep learning framework for intrusion detection in IoT smart homes
Quick Look
Edge data integrity verification for enhancing access control in Internet of Things
Quick Look
Research on QV-Band Power Division and Combination Network Based on Ridge Waveguides
Quick Look
Learning and adapting domain-generalized knowledge for dual-target cross-domain recommendation via LLM-enhanced meta-learning
Quick Look
Context-aware trust and lightweight anomaly detection for secure Data transmission in IoT cloud systems