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Cloud Computing
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이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
MAIZX: A Carbon-Aware Framework for Optimizing Cloud Computing Emissions
Optimization of bi-directional gated loop cell based on multi-head attention mechanism for SSD health state classification model
Secure Data Access in Cloud Environments Using Quantum Cryptography
Rethinking Dynamic Networks and Heterogeneous Computing with Automatic Parallelization
Optimal Auction Design for Dynamic Stochastic Environments: Myerson Meets Naor
Fog Intelligence for Network Anomaly Detection
Assessing wildfire susceptibility in Iran: Leveraging machine learning for geospatial analysis of climatic and anthropogenic factors
Cross-Cloud Data Privacy Protection: Optimizing Collaborative Mechanisms of AI Systems by Integrating Federated Learning and LLMs
GATES: Cost-aware Dynamic Workflow Scheduling via Graph Attention Networks and Evolution Strategy
Cloud-Based AI Systems: Leveraging Large Language Models for Intelligent Fault Detection and Autonomous Self-Healing
Learning Virtual Machine Scheduling in Cloud Computing through Language Agents
Sustainable Smart Farm Networks: Enhancing Resilience and Efficiency with Decision Theory-Guided Deep Reinforcement Learning
AI-Driven Security in Cloud Computing: Enhancing Threat Detection, Automated Response, and Cyber Resilience
Enhanced Outsourced and Secure Inference for Tall Sparse Decision Trees
On the Design of Resilient Distributed Single Time-Scale Estimators: A Graph-Theoretic Approach
Optimized Cloud Resource Allocation Using Genetic Algorithms for Energy Efficiency and QoS Assurance
Symmetry-Preserving Architecture for Multi-NUMA Environments (SPANE): A Deep Reinforcement Learning Approach for Dynamic VM Scheduling
Transformer-Based Model for Cold Start Mitigation in FaaS Architecture
Dynamic Operating System Scheduling Using Double DQN: A Reinforcement Learning Approach to Task Optimization
Intelligent Resource Allocation Optimization for Cloud Computing via Machine Learning
HiAER-Spike: Hardware-Software Co-Design for Large-Scale Reconfigurable Event-Driven Neuromorphic Computing
Research on Large Language Model Cross-Cloud Privacy Protection and Collaborative Training based on Federated Learning
Adaptive Fault Tolerance Mechanisms of Large Language Models in Cloud Computing Environments
Cloud Computing Energy Consumption Prediction Based on Kernel Extreme Learning Machine Algorithm Improved by Vector Weighted Average Algorithm
Reproducibility Assessment of Magnetic Resonance Spectroscopy of Pregenual Anterior Cingulate Cortex across Sessions and Vendors via the Cloud Computing Platform CloudBrain-MRS
An artificially intelligent magnetic resonance spectroscopy quantification method: Comparison between QNet and LCModel on the cloud computing platform CloudBrain-MRS
Pretrained LLMs as Real-Time Controllers for Robot Operated Serial Production Line
Scalable Reinforcement Learning for Virtual Machine Scheduling
Research on Edge Computing and Cloud Collaborative Resource Scheduling Optimization Based on Deep Reinforcement Learning
Research on Enhancing Cloud Computing Network Security using Artificial Intelligence Algorithms
Machine Learning-Based Cloud Computing Compliance Process Automation
Evolutionary Algorithms Approach For Search Based On Semantic Document Similarity
Personalized Education with Generative AI and Digital Twins: VR, RAG, and Zero-Shot Sentiment Analysis for Industry 4.0 Workforce Development
InTec: integrated things-edge computing: a framework for distributing machine learning pipelines in edge AI systems
Understanding Silent Data Corruption in LLM Training
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.