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Scheduling

Project or Job Scheduling

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Showing 1401–1450 of 3104 papers

TitleStatusHype
Hierarchical Stochastic Scheduling of Multi-Community Integrated Energy Systems in Uncertain Environments via Stackelberg Game—0
Hierarchical Task Offloading for UAV-Assisted Vehicular Edge Computing via Deep Reinforcement Learning—0
HierTrain: Fast Hierarchical Edge AI Learning with Hybrid Parallelism in Mobile-Edge-Cloud Computing—0
CNN-Enabled Scheduling for Probabilistic Real-Time Guarantees in Industrial URLLC—0
High-Dimensional Sparse Data Low-rank Representation via Accelerated Asynchronous Parallel Stochastic Gradient Descent—0
Highly Accurate Prediction of Jobs Runtime Classes—0
Faster than Real-Time Simulation: Methods, Tools, and Applications—0
High-Performance Computing for Scheduling Decision Support: A Parallel Depth-First Search Heuristic—0
High-Precision, Fair University Course Scheduling During a Pandemic—0
High-Throughput LLM inference on Heterogeneous Clusters—0
Holmes: Towards Distributed Training Across Clusters with Heterogeneous NIC Environment—0
HoloFed: Environment-Adaptive Positioning via Multi-band Reconfigurable Holographic Surfaces and Federated Learning—0
Faster Convergence with Less Communication: Broadcast-Based Subgraph Sampling for Decentralized Learning over Wireless Networks—0
Clustering-based Multitasking Deep Neural Network for Solar Photovoltaics Power Generation Prediction—0
An Online Ensemble Learning Model for Detecting Attacks in Wireless Sensor Networks—0
Adaptive Diffusion Guidance via Stochastic Optimal Control—0
How to predict and optimise with asymmetric error metrics—0
Controlling Graph Dynamics with Reinforcement Learning and Graph Neural Networks—0
Accelerating LLM Inference Throughput via Asynchronous KV Cache Prefetching—0
A batching and scheduling optimisation for a cutting work-center: Acta-Mobilier case study—0
Human-Machine Collaborative Optimization via Apprenticeship Scheduling—0
Human-Robot Team Coordination with Dynamic and Latent Human Task Proficiencies: Scheduling with Learning Curves—0
Fast Distributed Inference Serving for Large Language Models—0
Fast-Convergent and Communication-Alleviated Heterogeneous Hierarchical Federated Learning in Autonomous Driving—0
Clustered Scheduling and Communication Pipelining For Efficient Resource Management Of Wireless Federated Learning—0
Hybrid ASP-based multi-objective scheduling of semiconductor manufacturing processes (Extended version)—0
Fast Block Linear System Solver Using Q-Learning Schduling for Unified Dynamic Power System Simulations—0
Hybrid Genetic Algorithm for Cloud Computing Applications—0
Hybrid Heuristic Algorithms for Adiabatic Quantum Machine Learning Models—0
Cluster-Based Multi-Agent Task Scheduling for Space-Air-Ground Integrated Networks—0
An Online Approach to Dynamic Channel Access and Transmission Scheduling—0
Hybrid Offline-Online Design for Reconfigurable Intelligent Surface Aided UAV Communication—0
Fast Approximations for Job Shop Scheduling: A Lagrangian Dual Deep Learning Method—0
Hybrid Plant Models Call for a Different Plant Modelling Paradigm and a New Generation of Software (Heresy in the land of moles, fractions, & rigorous physical properties)—0
Fair Scheduling for Time-dependent Resources—0
Hybrid Reinforcement Learning for Optimizing Pump Sustainability in Real-World Water Distribution Networks—0
CLSA-CIM: A Cross-Layer Scheduling Approach for Computing-in-Memory Architectures—0
Fairness for Workers Who Pull the Arms: An Index Based Policy for Allocation of Restless Bandit Tasks—0
Closed-Loop Policies for Operational Tests of Safety-Critical Systems—0
HydraWave: Multi-Group Multicast Hybrid Precoding and Low-Latency Scheduling for Ubiquitous Industry 4.0 mmWave Communication—0
HyGen: Efficient LLM Serving via Elastic Online-Offline Request Co-location—0
Hyper-Learning for Gradient-Based Batch Size Adaptation—0
HyperSched: Dynamic Resource Reallocation for Model Development on a Deadline—0
HyperspectralViTs: General Hyperspectral Models for On-board Remote Sensing—0
Hyper-Tune: Towards Efficient Hyper-parameter Tuning at Scale—0
Unsupervised Training of Diffusion Models for Feasible Solution Generation in Neural Combinatorial Optimization—0
IF-Net: An Illumination-invariant Feature Network—0
Anomaly detection in laser-guided vehicles' batteries: a case study—0
A general Framework for Utilizing Metaheuristic Optimization for Sustainable Unrelated Parallel Machine Scheduling: A concise overview—0
Fairness-Aware Scheduling in Multi-Numerology Based 5G New Radio—0
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