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Showing 301–350 of 581 papers

TitleStatusHype
MCDS: AI Augmented Workflow Scheduling in Mobile Edge Cloud Computing SystemsCode1
Automated Side Channel Analysis of Media Software with Manifold LearningCode1
VMAgent: Scheduling Simulator for Reinforcement LearningCode1
Privacy-Preserving Serverless Edge Learning with Decentralized Small Data—0
IAD: Indirect Anomalous VMMs Detection in the Cloud-based Environment—0
Parallel Logic Programming: A Sequel—0
Online Self-Evolving Anomaly Detection in Cloud Computing EnvironmentsCode0
Molecular Dynamics Simulations on Cloud Computing and Machine Learning Platforms—0
Edge-Cloud Polarization and Collaboration: A Comprehensive Survey for AICode1
CloudRCA: A Root Cause Analysis Framework for Cloud Computing Platforms—0
Human-Level Control without Server-Grade HardwareCode0
Interoperable and scalable echosounder data processing with Echopype—0
DeF-DReL: Systematic Deployment of Serverless Functions in Fog and Cloud environments using Deep Reinforcement Learning—0
ML with HE: Privacy Preserving Machine Learning Inferences for Genome StudiesCode0
Federated Learning for COVID-19 Detection with Generative Adversarial Networks in Edge Cloud ComputingCode1
HUNTER: AI based Holistic Resource Management for Sustainable Cloud ComputingCode1
What can multi-cloud configuration learn from AutoML?—0
An Automated Data Engineering Pipeline for Anomaly Detection of IoT Sensor Data—0
SDN-based Resource Allocation in Edge and Cloud Computing Systems: An Evolutionary Stackelberg Differential Game Approach—0
Physical Layer Anonymous Precoding: The Path to Privacy-Preserving Communications—0
Dataflow Accelerator Architecture for Autonomous Machine Computing—0
Internet of Behavior (IoB) and Explainable AI Systems for Influencing IoT Behavior—0
A New Interpolation Approach and Corresponding Instance-Based LearningCode0
CloudShield: Real-time Anomaly Detection in the CloudCode0
NASOA: Towards Faster Task-oriented Online Fine-tuning with a Zoo of Models—0
Practical Adoption of Cloud Computing in Power Systems- Drivers, Challenges, Guidance, and Real-world Use Cases—0
Adaptive Verifiable Coded Computing: Towards Fast, Secure and Private Distributed Machine Learning—0
Energy Efficient Federated Learning in Integrated Fog-Cloud Computing Enabled Internet-of-Things Networks—0
IGrow: A Smart Agriculture Solution to Autonomous Greenhouse ControlCode1
Enhancing the Analysis of Software Failures in Cloud Computing Systems with Deep LearningCode1
Combination of Convolutional Neural Network and Gated Recurrent Unit for Energy Aware Resource Allocation—0
Cloud-Assisted Nonlinear Model Predictive Control for Finite-Duration Tasks—0
A new Deep Learning Based Intrusion Detection System for Cloud SecurityCode1
A highly scalable repository of waveform and vital signs data from bedside monitoring devices—0
An overview of deep learning techniques for epileptic seizures detection and prediction based on neuroimaging modalities: Methods, challenges, and future works—0
Privacy Inference Attacks and Defenses in Cloud-based Deep Neural Network: A Survey—0
Machine Learning (ML)-Centric Resource Management in Cloud Computing: A Review and Future Directions—0
Delay-Tolerant Constrained OCO with Application to Network Resource Allocation—0
Learning-based decentralized offloading decision making in an adversarial environment—0
Cloud computing as a platform for monetizing data services: A two-sided game business model—0
Performance and Energy-Aware Bi-objective Tasks Scheduling for Cloud Data Centers—0
Continental-scale land cover mapping at 10 m resolution over Europe (ELC10)—0
DRALBA: Dynamic and Resource Aware Load Balanced Scheduling Approach for Cloud Computing—0
XCloud-pFISTA: A Medical Intelligence Cloud for Accelerated MRI—0
An Overview of Digital Twins Application Domains in Smart Energy Grid—0
Knowledge Distillation For Wireless Edge LearningCode0
Generalized Reinforcement Learning for Building Control using Behavioral Cloning—0
Hybrid Evolutionary Optimization Approach for Oilfield Well Control Optimization—0
Deep Reinforcement Learning-Aided RAN Slicing Enforcement for B5G Latency Sensitive Services—0
Sparse Training Theory for Scalable and Efficient Agents—0
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