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Scheduling

Project or Job Scheduling

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Showing 2651–2700 of 3104 papers

TitleStatusHype
Energy-Aware Analog Aggregation for Federated Learning with Redundant Data—0
Control-Aware Scheduling for Low Latency Wireless Systems with Deep Learning—0
Quantum Computing based Hybrid Solution Strategies for Large-scale Discrete-Continuous Optimization Problems—0
Long-term Joint Scheduling for Urban TrafficCode0
Compensation of Charging Station Overload via On-road Mobile Energy Storage Scheduling—0
Event-scheduling algorithms with Kalikow decomposition for simulating potentially infinite neuronal networks—0
Recurrent neural network approach for cyclic job shop scheduling problem—0
Application of Reinforcement Learning for 5G Scheduling Parameter Optimization—0
RLScheduler: An Automated HPC Batch Job Scheduler Using Reinforcement LearningCode0
Joint Computation and Communication Design for UAV-Assisted Mobile Edge Computing in IoT—0
Markov Decision Processes For Multi-Objective Satellite Task Planning—0
MARTHE: Scheduling the Learning Rate Via Online HypergradientsCode0
A flexible integer linear programming formulation for scheduling clinician on-call service in hospitals—0
Max-min Fairness of K-user Cooperative Rate-Splitting in MISO Broadcast Channel with User Relaying—0
A new CP-approach for a parallel machine scheduling problem with time constraints on machine qualifications—0
Grant-free Non-orthogonal Multiple Access for IoT: A Survey—0
Prediction-based Resource Allocation using Bayesian Neural Networks and Minimum Cost and Maximum Flow AlgorithmCode0
Building HVAC Scheduling Using Reinforcement Learning via Neural Network Based Model Approximation—0
A polynomial-time scheduling approach to minimise idle energy consumption: an application to an industrial furnace—0
Joint Cross-layer Optimization in Real-Time Networked Control Systems—0
Scheduling in Wireless Networks with Spatial Reuse of Spectrum as Restless Bandits—0
Electric Load and Power Forecasting Using Ensemble Gaussian Process Regression—0
Order Acceptance and Scheduling with Sequence-dependent Setup Times: a New Memetic Algorithm and Benchmark of the State of the Art—0
Optimal Controller and Quantizer Selection for Partially Observable Linear-Quadratic-Gaussian Systems—0
SURREAL-System: Fully-Integrated Stack for Distributed Deep Reinforcement Learning—0
Model Predictive Control-Based Battery Scheduling and Incentives to Manipulate Demand Response Baselines—0
Statistical Adaptive Stochastic Optimization—0
Asynchronous Stochastic Subgradient Methods for General Nonsmooth Nonconvex Optimization—0
Deep Learning for RF Signal Classification in Unknown and Dynamic Spectrum Environments—0
PopSGD: Decentralized Stochastic Gradient Descent in the Population Model—0
Scheduling the Learning Rate Via Hypergradients: New Insights and a New Algorithm—0
Message Scheduling for Performant, Many-Core Belief PropagationCode0
Eco: A Hardware-Software Co-Design for In Situ Power Measurement on Low-end IoT Systems—0
Towards Energy and Time Efficient Resource Allocation in IoT-Fog-Cloud Environment—0
Google vs IBM: A Constraint Solving Challenge on the Job-Shop Scheduling ProblemCode0
Heterogeneity-Aware Asynchronous Decentralized Training—0
Data Centers Job Scheduling with Deep Reinforcement Learning—0
Speeding Up Distributed Pseudo-tree Optimization Procedure with Cross Edge Consistency to Solve DCOPs—0
FfDL : A Flexible Multi-tenant Deep Learning Platform—0
DL2: A Deep Learning-driven Scheduler for Deep Learning ClustersCode0
Adaptive Scheduling for Multi-Task Learning—0
Constrained Pseudo-market Equilibrium—0
Scheduling optimization of parallel linear algebra algorithms using Supervised Learning—0
Artificial intelligence empowered multi-AGVs in manufacturing systems—0
Reinforcement Learning for Joint Optimization of Multiple Rewards—0
PREMA: A Predictive Multi-task Scheduling Algorithm For Preemptible Neural Processing UnitsCode0
Inductive-bias-driven Reinforcement Learning For Efficient Schedules in Heterogeneous Clusters—0
Allen's Interval Algebra Makes the Difference—0
A Framework for Model Search Across Multiple Machine Learning Implementations—0
A Deep Reinforcement Learning Approach to Multi-component Job Scheduling in Edge Computing—0
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