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Papers

Showing 150 of 581 papers

TitleStatusHype
Full Scaling Automation for Sustainable Development of Green Data CentersCode7
AWQ: Activation-aware Weight Quantization for LLM Compression and AccelerationCode6
XGBoost: Scalable GPU Accelerated LearningCode4
A deep learning based steganography integration framework for ad-hoc cloud computing data security augmentation using the V-BOINC systemCode2
All-in-one foundational models learning across quantum chemical levelsCode2
Satellite Image Time Series Analysis for Big Earth Observation DataCode2
Edge-Cloud Polarization and Collaboration: A Comprehensive Survey for AICode1
Using LSTM and SARIMA Models to Forecast Cluster CPU UsageCode1
Effective Multi-User Delay-Constrained Scheduling with Deep Recurrent Reinforcement LearningCode1
MLatom 3: Platform for machine learning-enhanced computational chemistry simulations and workflowsCode1
Truncated tensor Schatten p-norm based approach for spatiotemporal traffic data imputation with complicated missing patternsCode1
Forecasting Workload in Cloud Computing: Towards Uncertainty-Aware Predictions and Transfer LearningCode1
WearMask: Fast In-browser Face Mask Detection with Serverless Edge Computing for COVID-19Code1
FAVER: Blind Quality Prediction of Variable Frame Rate VideosCode1
MetaNet: Automated Dynamic Selection of Scheduling Policies in Cloud EnvironmentsCode1
SEN12MS -- A Curated Dataset of Georeferenced Multi-Spectral Sentinel-1/2 Imagery for Deep Learning and Data FusionCode1
IGrow: A Smart Agriculture Solution to Autonomous Greenhouse ControlCode1
HUNTER: AI based Holistic Resource Management for Sustainable Cloud ComputingCode1
CloudEval-YAML: A Practical Benchmark for Cloud Configuration GenerationCode1
MCDS: AI Augmented Workflow Scheduling in Mobile Edge Cloud Computing SystemsCode1
Deep Learning Framework for Measuring the Digital Strategy of Companies from Earnings CallsCode1
Optimizing Deep Learning Recommender Systems' Training On CPU Cluster ArchitecturesCode1
Federated Learning for COVID-19 Detection with Generative Adversarial Networks in Edge Cloud ComputingCode1
Toward Intelligent and Secure Cloud: Large Language Model Empowered Proactive DefenseCode1
ADGym: Design Choices for Deep Anomaly DetectionCode1
Enhancing the Analysis of Software Failures in Cloud Computing Systems with Deep LearningCode1
VMAgent: Scheduling Simulator for Reinforcement LearningCode1
EViT: Privacy-Preserving Image Retrieval via Encrypted Vision Transformer in Cloud ComputingCode1
IMPaCT: Interval MDP Parallel Construction for Controller Synthesis of Large-Scale Stochastic SystemsCode1
Agnostic Federated LearningCode1
GATES: Cost-aware Dynamic Workflow Scheduling via Graph Attention Networks and Evolution StrategyCode1
A new Deep Learning Based Intrusion Detection System for Cloud SecurityCode1
Automated Cloud Provisioning on AWS using Deep Reinforcement LearningCode1
Dynamic Scheduling for Stochastic Edge-Cloud Computing Environments using A3C learning and Residual Recurrent Neural NetworksCode1
Adaptive Two-Stage Cloud Resource Scaling via Hierarchical Multi-Indicator Forecasting and Bayesian Decision-MakingCode1
Automated Side Channel Analysis of Media Software with Manifold LearningCode1
Characterizing and Optimizing EDA Flows for the CloudCode1
HealthEdge: A Machine Learning-Based Smart Healthcare Framework for Prediction of Type 2 Diabetes in an Integrated IoT, Edge, and Cloud Computing SystemCode1
Acting in Delayed Environments with Non-Stationary Markov PoliciesCode1
Clood CBR: towards microservices oriented case-based reasoningCode1
Convergence of Edge Computing and Deep Learning: A Comprehensive SurveyCode1
Distributed Double Machine Learning with a Serverless ArchitectureCode1
LiPar: A Lightweight Parallel Learning Model for Practical In-Vehicle Network Intrusion DetectionCode1
Mining and Tailings Dam Detection In Satellite Imagery Using Deep LearningCode1
Federated Prompt Learning for Weather Foundation Models on DevicesCode1
Online Service Migration in Mobile Edge with Incomplete System Information: A Deep Recurrent Actor-Critic Learning ApproachCode1
FastAiAlloc: A real-time multi-resources allocation framework proposal based on predictive model and multiple optimization strategiesCode0
Fairness-Aware Online PersonalizationCode0
A Sparse Model-inspired Deep Thresholding Network for Exponential Signal Reconstruction -- Application in Fast Biological SpectroscopyCode0
Exploring Scalable, Distributed Real-Time Anomaly Detection for Bridge Health MonitoringCode0
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