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Scheduling

Project or Job Scheduling

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Showing 2176–2200 of 3104 papers

TitleStatusHype
Learning off-road maneuver plans for autonomous vehicles—0
Risk Adversarial Learning System for Connected and Autonomous Vehicle Charging—0
Time-based Dynamic Controllability of Disjunctive Temporal Networks with Uncertainty: A Tree Search Approach with Graph Neural Network Guidance—0
Prescribing net demand for two-stage electricity generation scheduling—0
Quantum Scheduling for Millimeter-Wave Observation Satellite Constellation—0
A Reinforcement Learning Approach for Scheduling in mmWave Networks—0
LPV Delay-Dependent Sampled-Data Output-Feedback Control of Fueling in Spark Ignition Engines—0
Heuristic and Metaheuristic Methods for the Unrelated Machines Scheduling Problem: A Survey—0
An Improved BAT Algorithm for Solving Job Scheduling Problems in Hotels and Restaurants—0
Accelerating Federated Edge Learning via Optimized Probabilistic Device Scheduling—0
Primary-Auxiliary Model Scheduling Based Estimation of the Vertical Wheel Force in a Full Vehicle System—0
Device Scheduling and Update Aggregation Policies for Asynchronous Federated Learning—0
Mining Topological Dependencies of Recurrent Congestion in Road Networks—0
An Efficient Multi-objective Evolutionary Approach for Solving the Operation of Multi-Reservoir System Scheduling in Hydro-Power Plants—0
A New Adaptive Gradient Method with Gradient Decomposition—0
Proactive Rolling-Horizon based Scheduling of Hydrogen Systems for Resilient Power Grids—0
Learning to Equalize OTFS—0
Constraint Answer Set Programming: Integrational and Translational (or SMT-based) Approaches—0
Routing Autonomous Emergency Vehicles in Smart Cities Using Real Time Systems Analogy: A Conceptual Model—0
Coordinating Flexible Demand Response and Renewable Uncertainties for Scheduling of Community Integrated Energy Systems with an Electric Vehicle Charging Station: A Bi-level Approach—0
Distributed Value of Information in Feedback Control over Multi-hop Networks—0
Learning Mixed-Integer Linear Programs from Contextual Examples—0
Artificial Intelligence in PET: an Industry Perspective—0
QoS-Aware Scheduling in New Radio Using Deep Reinforcement Learning—0
Learning based E2E Energy Efficient in Joint Radio and NFV Resource Allocation for 5G and Beyond Networks—0
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