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Scheduling

Project or Job Scheduling

Papers

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Showing 2201–2250 of 3104 papers

TitleStatusHype
AoI-minimizing Scheduling in UAV-relayed IoT Networks—0
T-s3ra: traffic-aware scheduling for secure slicing and resource allocation in sdn/nfv enabled 5g networks—0
Energy Efficient Federated Learning in Integrated Fog-Cloud Computing Enabled Internet-of-Things Networks—0
Exploiting Single-Channel Speech For Multi-channel End-to-end Speech Recognition—0
An Evolutionary Algorithm for Task Scheduling in Crowdsourced Software Development—0
Towards Scheduling Federated Deep Learning using Meta-Gradients for Inter-Hospital Learning—0
NB-IoT via LEO satellites: An efficient resource allocation strategy for uplink data transmission—0
Online learning of windmill time series using Long Short-term Cognitive Networks—0
Decision making with dynamic probabilistic forecasts—0
Frequency-Constrained Resilient Scheduling of Microgrid: A Distributionally Robust Approach—0
Learning to Minimize Age of Information over an Unreliable Channel with Energy Harvesting—0
Integrated Vehicle Routing and Monte Carlo Scheduling Approach for the Home Service Assignment, Routing, and Scheduling Problem—0
Uncertainty-Aware Learning for Improvements in Image Quality of the Canada-France-Hawaii Telescope—0
Joint Mobile Charging and Coverage-Time Extension for Unmanned Aerial Vehicles—0
A Fast Graph Kernel Based Classification Method for Wireless Link Scheduling on Riemannian Manifold—0
Coordinated Scheduling of Electric Vehicles Within Zero Carbon Emission Hybrid AC/DC Microgrids—0
BFTrainer: Low-Cost Training of Neural Networks on Unfillable Supercomputer NodesCode0
DARTS-PRIME: Regularization and Scheduling Improve Constrained Optimization in Differentiable NAS—0
Minimizing Delay in Network Function Visualization with Quantum Computing—0
Evaluating Spatial Accelerator Architectures with Tiled Matrix-Matrix Multiplication—0
Generalizing Adversarial Training to Composite Semantic Perturbations—0
ShuffleBlock: Shuffle to Regularize Deep Convolutional Neural Networks—0
Joint Client Scheduling and Resource Allocation under Channel Uncertainty in Federated Learning—0
An SMT Based Compositional Algorithm to Solve a Conflict-Free Electric Vehicle Routing Problem—0
A Lyapunov-Based Methodology for Constrained Optimization with Bandit Feedback—0
Recovering AES Keys with a Deep Cold Boot Attack—0
A Case Study: Using Genetic Algorithm for Job Scheduling Problem—0
Coarse-to-Fine Curriculum Learning—0
Joint Scheduling and Throughput Maximization in Self-backhauled Millimeter Wave Cellular Networks—0
Auction-based and Distributed Optimization Approaches for Scheduling Observations in Satellite Constellations with Exclusive Orbit Portions—0
Decentralised Approach for Multi Agent Path Finding—0
Decision-making Oriented Clustering: Application to Pricing and Power Consumption Scheduling—0
Learning to schedule job-shop problems: Representation and policy learning using graph neural network and reinforcement learning—0
Optimization of Heterogeneous Systems with AI Planning Heuristics and Machine Learning: A Performance and Energy Aware Approach—0
Smart Online Charging Algorithm for Electric Vehicles via Customized Actor-Critic Learning—0
Proactive Scheduling of Hydrogen Systems for Resilience Enhancement of Distribution Networks—0
AIRIS: Artificial Intelligence Enhanced Signal Processing in Reconfigurable Intelligent Surface Communications—0
Dynamic Scheduling for Over-the-Air Federated Edge Learning with Energy Constraints—0
Scheduling Jobs with Stochastic Holding CostsCode0
Wireless Link Scheduling via Interference-aware Symmetric Positive Definite Connectivity Manifolds—0
Branching Dueling Q-Network Based Online Scheduling of a Microgrid With Distributed Energy Storage Systems—0
Learning to Optimize Industry-Scale Dynamic Pickup and Delivery Problems—0
An Online Learning Approach to Optimizing Time-Varying Costs of AoI—0
TENSILE: A Tensor granularity dynamic GPU memory scheduling method toward multiple dynamic workloads system—0
A Full-Stack Search Technique for Domain Optimized Deep Learning Accelerators—0
Public Transportation Demand Analysis: A Case Study of Metropolitan Lagos—0
Structured Convolutional Kernel Networks for Airline Crew SchedulingCode0
A Low-Delay MAC for IoT Applications: Decentralized Optimal Scheduling of Queues without Explicit State Information Sharing—0
Federated Meta Learning Enhanced Acoustic Radio Cooperative Framework for Ocean of Things Underwater Acoustic Communications—0
Managing HILP Consequences Using Dynamic Distribution System Asset Assessment—0
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