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Scheduling

Project or Job Scheduling

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Showing 1601–1650 of 3104 papers

TitleStatusHype
Optimal activity and battery scheduling algorithm using load and solar generation forecasts—0
Algorithms with Prediction PortfoliosCode0
Boomerang: Local sampling on image manifolds using diffusion models—0
Federated Learning via Unmanned Aerial Vehicle—0
An Efficient Merge Search Matheuristic for Maximising the Net Present Value of Project Schedules—0
The Pump Scheduling Problem: A Real-World Scenario for Reinforcement LearningCode0
RT-MOT: Confidence-Aware Real-Time Scheduling Framework for Multi-Object Tracking Tasks—0
Application Performance Modeling via Tensor CompletionCode0
Hidet: Task-Mapping Programming Paradigm for Deep Learning Tensor ProgramsCode2
Variable-Pitch Power Regulation of Tethered-Wing Systems Based on Robust Gain-Scheduling H-infinity Control—0
Connection-Based Scheduling for Real-Time Intersection Control—0
Toward Secure and Private Over-the-Air Federated Learning—0
Transfer Deep Reinforcement Learning-based Large-scale V2G Continuous Charging Coordination with Renewable Energy Sources—0
Conflict-free Charging and Real-time Control for an Electric Bus Network—0
Low-Latency Analog-to-Analog Signal Processing using PC Hardware and USRPs—0
A General Stochastic Optimization Framework for Convergence Bidding—0
Latency-aware Spatial-wise Dynamic NetworksCode1
An improved decomposition-based heuristic for truck platooning—0
Winner Takes It All: Training Performant RL Populations for Combinatorial OptimizationCode1
Reinforcement Learning Approach for Multi-Agent Flexible Scheduling Problems—0
YSF: A 6TiSCH Scheduling Function Minimizing Latency of Data Gathering in IIoT—0
Robust tube-based LPV-MPC for autonomous lane keeping—0
TgDLF2.0: Theory-guided deep-learning for electrical load forecasting via Transformer and transfer learning—0
Revisiting Structured Dropout—0
Strength-Adaptive Adversarial Training—0
Inclusion of Frequency Nadir constraint in the Unit Commitment Problem of Small Power Systems Using Machine Learning—0
Towards Flexible Inductive Bias via Progressive Reparameterization Scheduling—0
Using Deep Reinforcement Learning for mmWave Real-Time Scheduling—0
Evolution of flexible industrial assembly—0
Deep Learning for Wireless Networked Systems: a joint Estimation-Control-Scheduling Approach—0
Analyzing Diffusion as Serial Reproduction—0
Scheduling for Urban Air Mobility using Safe Learning—0
MLink: Linking Black-Box Models from Multiple Domains for Collaborative InferenceCode1
Joint Optimization of Resource Allocation and Trajectory Control for Mobile Group Users in Fixed-Wing UAV-Enabled Wireless Network—0
Fluid Batching: Exit-Aware Preemptive Serving of Early-Exit Neural Networks on Edge NPUs—0
Semi-Synchronous Personalized Federated Learning over Mobile Edge Networks—0
Neural Network Panning: Screening the Optimal Sparse Network Before TrainingCode0
FeatureBox: Feature Engineering on GPUs for Massive-Scale Ads Systems—0
Weighted Age of Information based Scheduling for Large Population Games on Networks—0
Knowledge-aided Federated Learning for Energy-limited Wireless Networks—0
Optimal dispatch of low-carbon integrated energy system considering nuclear heating and carbon trading—0
Query-Age-Optimal Scheduling under Sampling and Transmission Constraints—0
Reinforcement Learning in Computing and Network Convergence Orchestration—0
A Deep Reinforcement Learning-Based Charging Scheduling Approach with Augmented Lagrangian for Electric Vehicle—0
Dynamic Unicast-Multicast Scheduling for Age-Optimal Information Dissemination in Vehicular Networks—0
Multi-level Explanation of Deep Reinforcement Learning-based Scheduling—0
Learn the Time to Learn: Replay Scheduling in Continual LearningCode0
VINet: Visual and Inertial-based Terrain Classification and Adaptive Navigation over Unknown Terrain—0
Multiscale Adaptive Scheduling and Path-Planning for Power-Constrained UAV-Relays via SMDPsCode0
IoT-Aerial Base Station Task Offloading with Risk-Sensitive Reinforcement Learning for Smart Agriculture—0
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