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Scheduling

Project or Job Scheduling

Papers

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Showing 801–850 of 3104 papers

TitleStatusHype
Data-Driven Scheduling of Electric Boiler with Thermal Storage for Providing Power Balancing Service—0
Decoupling parameter variation from noise: Biquadratic Lyapunov forms in data-driven LPV control—0
ASAP-FE: Energy-Efficient Feature Extraction Enabling Multi-Channel Keyword Spotting on Edge Processors—0
Airport take-off and landing optimization through genetic algorithms—0
DeepCAS: A Deep Reinforcement Learning Algorithm for Control-Aware Scheduling—0
Deep Flow Collaborative Network for Online Visual Tracking—0
Adaptive Structural Hyper-Parameter Configuration by Q-Learning—0
DeepGANTT: A Scalable Deep Learning Scheduler for Backscatter Networks—0
Data Driven Safe Gain-Scheduling Control—0
Deep Index Policy for Multi-Resource Restless Matching Bandit and Its Application in Multi-Channel Scheduling—0
Deep-Learning-Based Identification of LPV Models for Nonlinear Systems—0
Deep Learning Based Joint Resource Scheduling Algorithms for Hybrid MEC Networks—0
Deep learning-driven scheduling algorithm for a single machine problem minimizing the total tardiness—0
Deep learning enhanced mixed integer optimization: Learning to reduce model dimensionality—0
Data-Driven Reduced-Order Aeroelastic Modeling of Highly Flexible Aircraft by Parametric Dynamic Mode Decomposition—0
Deep learning for predicting hauling fleet production capacity under uncertainties in open pit mines using real and simulated data—0
Deep Learning for RF Signal Classification in Unknown and Dynamic Spectrum Environments—0
Deep Learning for Wireless Networked Systems: a joint Estimation-Control-Scheduling Approach—0
Aryl: An Elastic Cluster Scheduler for Deep Learning—0
Data-driven project planning: An integrated network learning and constraint relaxation approach in favor of scheduling—0
Data-Driven Predictive Control for Linear Parameter-Varying Systems—0
Deep Multitask Learning with Progressive Parameter Sharing—0
Deep Multi-View Spatiotemporal Virtual Graph Neural Network for Significant Citywide Ride-hailing Demand Prediction—0
DeepPlace: Learning to Place Applications in Multi-Tenant Clusters—0
Artificial Neural Network Modeling for Airline Disruption Management—0
AIRIS: Artificial Intelligence Enhanced Signal Processing in Reconfigurable Intelligent Surface Communications—0
Data-driven Policy on Feasibility Determination for the Train Shunting Problem—0
Deep Reinforcement Learning-Based Joint Satellite Scheduling and Resource Allocation in Satellite-Terrestrial Integrated Networks—0
Artificial Intelligence in PET: an Industry Perspective—0
Deep Reinforcement Learning based Online Scheduling Policy for Deep Neural Network Multi-Tenant Multi-Accelerator Systems—0
Data-Driven Optimization of Public Transit Schedule—0
Data-Driven Modeling of Aggregate Flexibility under Uncertain and Non-Convex Load Models—0
Artificial intelligence empowered multi-AGVs in manufacturing systems—0
Deep Reinforcement Learning-driven Cross-Community Energy Interaction Optimal Scheduling—0
Deep Reinforcement Learning for Artificial Upwelling Energy Management—0
Deep Reinforcement Learning for Collaborative Edge Computing in Vehicular Networks—0
Deep Reinforcement Learning for Community Battery Scheduling under Uncertainties of Load, PV Generation, and Energy Prices—0
Deep Reinforcement Learning for Delay-Oriented IoT Task Scheduling in Space-Air-Ground Integrated Network—0
AIQ: Measuring Intelligence of Business AI Software—0
Deep Reinforcement Learning for Dynamic Resource Allocation in Wireless Networks—0
Deep Reinforcement Learning for Dynamic Urban Transportation Problems—0
Adaptive Stochastic Resource Control: A Machine Learning Approach—0
A Unified Architecture for Dynamic Role Allocation and Collaborative Task Planning in Mixed Human-Robot Teams—0
Deep Reinforcement Learning for Long Term Hydropower Production Scheduling—0
Deep reinforcement learning for machine scheduling: Methodology, the state-of-the-art, and future directions—0
Deep Reinforcement Learning for Multi-Resource Multi-Machine Job Scheduling—0
Deep Reinforcement Learning for Multi-User RF Charging with Non-linear Energy Harvesters—0
Using Deep Reinforcement Learning for mmWave Real-Time Scheduling—0
Deep reinforcement learning for scheduling in large-scale networked control systems—0
Strategic Federated Learning: Application to Smart Meter Data Clustering—0
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