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Scheduling

Project or Job Scheduling

Papers

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Showing 1351–1400 of 3104 papers

TitleStatusHype
Optimizing Forest Fire Prevention: Intelligent Scheduling Algorithms for Drone-Based Surveillance System—0
Proportional Fair Scheduling Using Water-Filling Technique for SC-FDMA Based D2D Communication—0
A Bayesian Approach to Characterize Unknown Interference Power in Wireless Networks—0
SmartPhone: Exploring Keyword Mnemonic with Auto-generated Verbal and Visual Cues—0
Learning-Augmented Online Packet Scheduling with Deadlines—0
Optimizing Memory Mapping Using Deep Reinforcement Learning—0
Fast Distributed Inference Serving for Large Language Models—0
Optimal Energy System Scheduling Using A Constraint-Aware Reinforcement Learning AlgorithmCode1
Flexible Job Shop Scheduling via Dual Attention Network Based Reinforcement LearningCode1
Multi-Scale Energy (MuSE) plug and play framework for inverse problems—0
The Role of Data Curation in Image CaptioningCode0
Over-the-Air Federated Averaging with Limited Power and Privacy Budgets—0
Reducing End-to-End Latencies of Multi-Rate Cause-Effect Chains for the LET Model—0
Learnability with Time-Sharing Computational Resource Concerns—0
Dynamic Scheduling for Federated Edge Learning with Streaming Data—0
A Model-Based Approach for Flight Delay Prediction—0
BCEdge: SLO-Aware DNN Inference Services with Adaptive Batching on Edge Platforms—0
AI-based Radio and Computing Resource Allocation and Path Planning in NOMA NTNs: AoI Minimization under CSI Uncertainty—0
Robustified Learning for Online Optimization with Memory Costs—0
A Wall-time Minimizing Parallelization Strategy for Approximate Bayesian ComputationCode0
The FAIRy Tale of Genetic Algorithms—0
Resilient-Economic Coordinated Robust Operation of Integrated Electric-Gas Systems—0
Metric Temporal Equilibrium Logic over Timed Traces—0
Optimal Scheduling in IoT-Driven Smart Isolated Microgrids Based on Deep Reinforcement Learning—0
Once and for All: Scheduling Multiple Users Using Statistical CSI under Fixed Wireless Access—0
Games for Artificial Intelligence Research: A Review and PerspectivesCode1
BanditLinQ: A Scalable Link Scheduling for Dense D2D Networks with One-Bit Feedback—0
Adaptive Services Function Chain Orchestration For Digital Health Twin Use Cases: Heuristic-boosted Q-Learning Approach—0
Performance Optimization using Multimodal Modeling and Heterogeneous GNN—0
Rapidly time-varying reconfigurable intelligent surfaces for downlink multiuser transmissions—0
Addressing distributional shifts in operations management: The case of order fulfillment in customized productionCode0
Co-optimization of Operational Unit Commitment and Reserve Power Scheduling for Modern Grid—0
Bilevel optimisation with embedded neural networks: Application to scheduling and control integration—0
Robust Deep Reinforcement Learning Scheduling via Weight AnchoringCode0
Adaptive Scheduling for Edge-Assisted DNN Serving—0
NetGPT: Generative Pretrained Transformer for Network TrafficCode1
Learning Resource Scheduling with High Priority Users using Deep Deterministic Policy GradientsCode1
A hybrid model for day-ahead electricity price forecasting: Combining fundamental and stochastic modellingCode0
AoI-Delay Tradeoff in Mobile Edge Caching: A Mixed-Order Drift-Plus-Penalty Algorithm—0
Joint Beam Scheduling and Power Allocation for SWIPT in Mixed Near- and Far-Field Channels—0
Sustainable AIGC Workload Scheduling of Geo-Distributed Data Centers: A Multi-Agent Reinforcement Learning Approach—0
SmartChoices: Augmenting Software with Learned Implementations—0
MEMA Runtime Framework: Minimizing External Memory Accesses for TinyML on Microcontrollers—0
Control of bilinear systems using gain-scheduling: Stability and performance guarantees—0
RESPECT: Reinforcement Learning based Edge Scheduling on Pipelined Coral Edge TPUsCode1
Gradient Sparsification for Efficient Wireless Federated Learning with Differential Privacy—0
FlexMoE: Scaling Large-scale Sparse Pre-trained Model Training via Dynamic Device Placement—0
Scheduling Dosage of Proton Pump Inhibitors Using Constrained Optimization With Gastric Acid Secretion Model—0
Data-driven HVAC Control Using Symbolic Regression: Design and Implementation—0
Optimal Energy Storage Scheduling for Wind Curtailment Reduction and Energy Arbitrage: A Deep Reinforcement Learning Approach—0
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