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Scheduling

Project or Job Scheduling

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Showing 751–800 of 3104 papers

TitleStatusHype
Eavesdropping on Goal-Oriented Communication: Timing Attacks and Countermeasures—0
Co-Scheduling of Energy and Production in Discrete Manufacturing Considering Decision-Dependent Uncertainties—0
Scalable Distributed Least Squares Algorithm for Linear Algebraic Equations via Scheduling—0
Sensing Capacity for Integrated Sensing and Communication Systems in Low-Altitude Economy—0
Two-Stage Stochastic Optimization for Low-Carbon Dispatch in a Combined Energy System—0
PLM-Based Discrete Diffusion Language Models with Entropy-Adaptive Gibbs Sampling—0
An Energy-Based Self-Adaptive Learning Rate for Stochastic Gradient Descent: Enhancing Unconstrained Optimization with VAV method—0
Reinforcement Learning for Adaptive Resource Scheduling in Complex System Environments—0
Data-Driven Min-Max MPC for LPV Systems with Unknown Scheduling Signal—0
AI Metropolis: Scaling Large Language Model-based Multi-Agent Simulation with Out-of-order Execution—0
P-MOSS: Learned Scheduling For Indexes Over NUMA Servers Using Low-Level Hardware Statistics—0
SAUCE: Synchronous and Asynchronous User-Customizable Environment for Multi-Agent LLM InteractionCode0
NEO: Saving GPU Memory Crisis with CPU Offloading for Online LLM InferenceCode0
Multi-Agent Deep Q-Network with Layer-based Communication Channel for Autonomous Internal Logistics Vehicle Scheduling in Smart Manufacturing—0
Enhancing Adaptive Mixed-Criticality Scheduling with Deep Reinforcement Learning—0
ALISE: Accelerating Large Language Model Serving with Speculative Scheduling—0
DynaSplit: A Hardware-Software Co-Design Framework for Energy-Aware Inference on Edge—0
Automatic programming via large language models with population self-evolution for dynamic job shop scheduling problem—0
EF-LLM: Energy Forecasting LLM with AI-assisted Automation, Enhanced Sparse Prediction, Hallucination Detection—0
Planning and Learning in Risk-Aware Restless Multi-Arm Bandit Problem—0
Bayesian Counterfactual Prediction Models for HIV Care Retention with Incomplete Outcome and Covariate Information—0
SparseTem: Boosting the Efficiency of CNN-Based Video Encoders by Exploiting Temporal Continuity—0
Quantum Reinforcement Learning-Based Two-Stage Unit Commitment Framework for Enhanced Power Systems Robustness—0
Carbon-Aware Computing for Data Centers with Probabilistic Performance Guarantees—0
Capacity-Aware Planning and Scheduling in Budget-Constrained Monotonic MDPs: A Meta-RL Approach—0
Age of Information-Oriented Probabilistic Link Scheduling for Device-to-Device Networks—0
Applying Neural Monte Carlo Tree Search to Unsignalized Multi-intersection Scheduling for Autonomous Vehicles—0
MCUBERT: Memory-Efficient BERT Inference on Commodity Microcontrollers—0
Is the GPU Half-Empty or Half-Full? Practical Scheduling Techniques for LLMs—0
Exploiting Data Centres and Local Energy Communities Synergies for Market Participation—0
Fast Inference for Augmented Large Language Models—0
ExpertFlow: Optimized Expert Activation and Token Allocation for Efficient Mixture-of-Experts Inference—0
Optimizing Load Scheduling in Power Grids Using Reinforcement Learning and Markov Decision Processes—0
End-to-End Optimization and Learning of Fair Court Schedules—0
Optimizing First-Line Therapeutics in Non-Small Cell Lung Cancer: Insights from Joint Modeling and Large-Scale Data Analysis—0
A Surrogate Model for Quay Crane Scheduling Problem—0
Optimizing Mixture-of-Experts Inference Time Combining Model Deployment and Communication Scheduling—0
AI-focused HPC Data Centers Can Provide More Power Grid Flexibility and at Lower Cost—0
HyperspectralViTs: General Hyperspectral Models for On-board Remote Sensing—0
Safe Load Balancing in Software-Defined-Networking—0
All You Need is an Improving Column: Enhancing Column Generation for Parallel Machine Scheduling via Transformers—0
Offline reinforcement learning for job-shop scheduling problems—0
FrugalNeRF: Fast Convergence for Few-shot Novel View Synthesis without Learned Priors—0
FoMo: A Foundation Model for Mobile Traffic Forecasting with Diffusion Model—0
LUNDRY MANAGEMENT SYSTEM PROJECT REPORT—0
Evaluation of Peak Shaving Using Thermal Energy Storage in a Validated CHP and District Energy Model—0
Assessing the Optimistic Bias in the Natural Inflow Forecasts: A Call for Model Monitoring in BrazilCode0
Meta-DiffuB: A Contextualized Sequence-to-Sequence Text Diffusion Model with Meta-ExplorationCode0
FusionLLM: A Decentralized LLM Training System on Geo-distributed GPUs with Adaptive Compression—0
COMET: Towards Partical W4A4KV4 LLMs Serving—0
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