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Scheduling

Project or Job Scheduling

Papers

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Showing 2001–2050 of 3104 papers

TitleStatusHype
Quantitative Analysis of Demand Response Using Thermostatically Controlled Loads—0
Three-Layer Joint Distributionally Robust Chance-Constrained Framework for Optimal Day-Ahead Scheduling of E-mobility Ecosystem—0
Interaction and Conflict Management in AI-assisted Operational Control Loops in 6G—0
GCNScheduler: Scheduling Distributed Computing Applications using Graph Convolutional Networks—0
Federated Learning over Wireless IoT Networks with Optimized Communication and Resources—0
MLPerf HPC: A Holistic Benchmark Suite for Scientific Machine Learning on HPC Systems—0
Vehicular Blockage Modelling and Performance Analysis for mmWave V2V Communications—0
ESOD:Edge-based Task Scheduling for Object Detection—0
Optimal Grid-Forming Control of Battery Energy Storage Systems Providing Multiple Services: Modelling and Experimental Validation—0
Can Dynamic TDD Enabled Half-Duplex Cell-Free Massive MIMO Outperform Full-Duplex Cellular Massive MIMO?—0
Advanced Statistical Learning on Short Term Load Process Forecasting—0
Optimal Scheduling of Flexible Power-to-X Technologies in the Day-ahead Electricity Market—0
Sim-to-Real Transfer in Multi-agent Reinforcement Networking for Federated Edge Computing—0
EmbRace: Accelerating Sparse Communication for Distributed Training of NLP Neural Networks—0
An actor-critic algorithm with policy gradients to solve the job shop scheduling problem using deep double recurrent agentsCode1
Sensor Scheduling for Linear Systems: A Covariance Tracking Approach—0
A Q-Learning-based Approach for Distributed Beam Scheduling in mmWave Networks—0
MARTINI: Smart Meter Driven Estimation of HVAC Schedules and Energy Savings Based on WiFi Sensing and Clustering—0
Hydra: A System for Large Multi-Model Deep LearningCode1
SAT Encodings for Pseudo-Boolean Constraints Together With At-Most-One Constraints—0
Optimal Load Scheduling Using Genetic Algorithm to Improve the Load Profile—0
Distribution Locational Marginal Pricing Under Uncertainty Considering Coordination of Distribution and Wholesale Markets—0
Solving Large Break Minimization Problems in a Mirrored Double Round-robin Tournament Using Quantum AnnealingCode0
Adaptive Elastic Training for Sparse Deep Learning on Heterogeneous Multi-GPU ServersCode0
Adapting to Dynamic LEO-B5G Systems: Meta-Critic Learning Based Efficient Resource Scheduling—0
Metaparametric Neural Networks for Survival Analysis—0
Fast Approximations for Job Shop Scheduling: A Lagrangian Dual Deep Learning Method—0
Synergy: Resource Sensitive DNN Scheduling in Multi-Tenant Clusters—0
Joint Minimum DL-UL Rate Maximization for Cell-Free Massive MIMO—0
Fast Block Linear System Solver Using Q-Learning Schduling for Unified Dynamic Power System Simulations—0
HUNTER: AI based Holistic Resource Management for Sustainable Cloud ComputingCode1
Service Scheduling for Random Requests with Fixed Waiting Costs—0
Themis: A Network Bandwidth-Aware Collective Scheduling Policy for Distributed Training of DL Models—0
Adversarial Attack by Limited Point Cloud Surface Modifications—0
Scalable Multi-Agent Reinforcement Learning for Residential Load Scheduling under Data Governance—0
An Online Scheduling Algorithm for a Community Energy Storage System—0
Wireless Link Scheduling via Graph Representation Learning: A Comparative Study of Different Supervision LevelsCode0
Scheduling Optimization Techniques for Neural Network Training—0
Characterizing Concurrency Mechanisms for NVIDIA GPUs under Deep Learning Workloads—0
Online Primal-Dual Algorithms with Predictions for Packing Problems—0
Information Design for a Non-atomic Service Scheduling Game—0
Interleaved One-shot Semi-Persistent Scheduling for BSM Transmissions in C-V2X Networks—0
Learning the Markov Decision Process in the Sparse Gaussian EliminationCode1
Q-Learning Scheduler for Multi-Task Learning through the use of Histogram of Task Uncertainty—0
Differentiable Discrete Device-to-System Codesign for Optical Neural Networks via Gumbel-Softmax—0
Combinatorial Reinforcement Learning Based Scheduling for DNN Execution on Edge—0
PDQN - A Deep Reinforcement Learning Method for Planning with Long Delays: Optimization of Manufacturing Dispatching—0
Learn the Time to Learn: Replay Scheduling for Continual Learning—0
Learning to Schedule Learning rate with Graph Neural Networks—0
Implementation of a practical Markov chain Monte Carlo sampling algorithm in PyBioNetFit—0
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