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Scheduling

Project or Job Scheduling

Papers

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Showing 1301–1350 of 3104 papers

TitleStatusHype
Client Orchestration and Cost-Efficient Joint Optimization for NOMA-Enabled Hierarchical Federated Learning—0
Dynamic Uploading Scheduling in mmWave-Based Sensor Networks via Mobile Blocker Detection—0
MetisFL: An Embarrassingly Parallelized Controller for Scalable & Efficient Federated Learning Workflows—0
STDA-Meta: A Meta-Learning Framework for Few-Shot Traffic Prediction—0
SWIPT in Mixed Near- and Far-Field Channels: Joint Beam Scheduling and Power Allocation—0
End-to-end Feature Selection Approach for Learning Skinny TreesCode0
Distributed Delay-Tolerant Strategies for Equality-Constraint Sum-Preserving Resource Allocation—0
Adaptive Resource Management for Edge Network Slicing using Incremental Multi-Agent Deep Reinforcement Learning—0
Free Space Optical Communication for Inter-Satellite Link: Architecture, Potentials and Trends—0
Towards Continually Learning Application Performance Models—0
Decentralized Learning over Wireless Networks with Broadcast-Based Subgraph Sampling—0
Learning-based Scheduling for Information Accuracy and Freshness in Wireless Networks—0
Solving the flexible job-shop scheduling problem through an enhanced deep reinforcement learning approach—0
A Multi-timescale and Chance-Constrained Energy Dispatching Strategy of Integrated Heat-Power Community with Shared Hybrid Energy Storage—0
A Review of Reinforcement Learning for Natural Language Processing, and Applications in Healthcare—0
Interpretable Deep Reinforcement Learning for Optimizing Heterogeneous Energy Storage Systems—0
GPT-4 Doesn't Know It's Wrong: An Analysis of Iterative Prompting for Reasoning Problems—0
A New Time Series Similarity Measure and Its Smart Grid Applications—0
Auction-Based Scheduling—0
Sparse-DySta: Sparsity-Aware Dynamic and Static Scheduling for Sparse Multi-DNN WorkloadsCode0
An Automatic Learning Rate Schedule Algorithm for Achieving Faster Convergence and Steeper Descent—0
Enhancing Column Generation by Reinforcement Learning-Based Hyper-Heuristic for Vehicle Routing and Scheduling Problems—0
Hybrid Reinforcement Learning for Optimizing Pump Sustainability in Real-World Water Distribution Networks—0
Optimal Scheduling of Electric Vehicle Charging with Deep Reinforcement Learning considering End Users Flexibility—0
Reinforcement Learning of Display Transfer Robots in Glass Flow Control Systems: A Physical Simulation-Based Approach—0
Learning a Reward Function for User-Preferred Appliance SchedulingCode0
HoloFed: Environment-Adaptive Positioning via Multi-band Reconfigurable Holographic Surfaces and Federated Learning—0
Online Equitable Ride-sharing Car Distribution in a Congested Traffic—0
A Review of Deep Reinforcement Learning in Serverless Computing: Function Scheduling and Resource Auto-Scaling—0
Deep reinforcement learning for machine scheduling: Methodology, the state-of-the-art, and future directions—0
Low-carbon optimal dispatch of integrated energy system considering demand response under the tiered carbon trading mechanism—0
SelectFormer: Private and Practical Data Selection for Transformers—0
AutoLoRa: A Parameter-Free Automated Robust Fine-Tuning Framework—0
Joint Optimization of Charging Infrastructure Placement and Operational Schedules for a Fleet of Battery Electric Trucks—0
Comparative study of microgrid optimal scheduling under multi-optimization algorithm fusion—0
Linearization of ReLU Activation Function for Neural Network-Embedded Optimization: Optimal Day-Ahead Energy Scheduling—0
Efficient Online Scheduling and Routing for Automated Guided Vehicles In Loop-Based Graphs—0
Regulating CPU Temperature With Thermal-Aware Scheduling Using a Reduced Order Learning Thermal Model—0
Joint Scheduling and Trajectory Optimization of Charging UAV in Wireless Rechargeable Sensor Networks—0
Joint Power and 3D Trajectory Optimization for UAV-enabled Wireless Powered Communication Networks with Obstacles—0
Diverse Target and Contribution Scheduling for Domain Generalization—0
SatDM: Synthesizing Realistic Satellite Image with Semantic Layout Conditioning using Diffusion ModelsCode0
Residual Scheduling: A New Reinforcement Learning Approach to Solving Job Shop Scheduling Problem—0
Enabling Resource-efficient AIoT System with Cross-level Optimization: A survey—0
An AI Chatbot for Explaining Deep Reinforcement Learning Decisions of Service-oriented SystemsCode0
Natural Language based Context Modeling and Reasoning for Ubiquitous Computing with Large Language Models: A Tutorial—0
Direct Learning for Parameter-Varying Feedforward Control: A Neural-Network Approach—0
Understanding Patterns of Deep Learning ModelEvolution in Network Architecture Search—0
AI-Copilot for Business Optimisation: A Framework and A Case Study in Production Scheduling—0
Efficient N:M Sparse DNN Training Using Algorithm, Architecture, and Dataflow Co-Design—0
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