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Showing 451–500 of 3104 papers

TitleStatusHype
A two-level machine learning framework for predictive maintenance: comparison of learning formulations—0
A Two-phase On-line Joint Scheduling for Welfare Maximization of Charging Station—0
A Two-Phase Safe Vehicle Routing and Scheduling Problem: Formulations and Solution Algorithms—0
A Two-stage Framework and Reinforcement Learning-based Optimization Algorithms for Complex Scheduling Problems—0
A Unified Architecture for Dynamic Role Allocation and Collaborative Task Planning in Mixed Human-Robot Teams—0
A Two-Step Learning and Interpolation Method for Location-Based Channel Database—0
Auction-based and Distributed Optimization Approaches for Scheduling Observations in Satellite Constellations with Exclusive Orbit Portions—0
Auction-Based Scheduling—0
Auction designs to increase incentive compatibility and reduce self-scheduling in electricity markets—0
A unified decision making framework for supply and demand management in microgrid networks—0
A Unified Energy Management Framework for Multi-Timescale Forecasting in Smart Grids—0
A Secure Distributed Ledger for Transactive Energy: The Electron Volt Exchange (EVE) Blockchain—0
A unified heuristic and an annotated bibliography for a large class of earliness-tardiness scheduling problems—0
A metaheuristic for crew scheduling in a pickup-and-delivery problem with time windows—0
A User Study on Contrastive Explanations for Multi-Effector Temporal Planning with Non-Stationary Costs—0
Autellix: An Efficient Serving Engine for LLM Agents as General Programs—0
AutoDirector: Online Auto-scheduling Agents for Multi-sensory Composition—0
A Minimax Framework for Two-Agent Scheduling with Inertial Constraints—0
Auto-Ensemble: An Adaptive Learning Rate Scheduling based Deep Learning Model Ensembling—0
A Schedule of Duties in the Cloud Space Using a Modified Salp Swarm Algorithm—0
AutoHete: An Automatic and Efficient Heterogeneous Training System for LLMs—0
AutoLoRa: A Parameter-Free Automated Robust Fine-Tuning Framework—0
AutoLoss: Learning Discrete Schedule for Alternate Optimization—0
A Model Predictive Control Scheme for Flight Scheduling and Energy Management of Electric Aviation Networks—0
Automated Algorithm Selection: Survey and Perspectives—0
Automated Conversion of Static to Dynamic Scheduler via Natural Language—0
Automated deep reinforcement learning for real-time scheduling strategy of multi-energy system integrated with post-carbon and direct-air carbon captured system—0
Automated Generation of Precedence Graphs in Digital Value Chains for Automotive Production—0
Automated Heuristic Design for Unit Commitment Using Large Language Models—0
Automated Hybrid Reward Scheduling via Large Language Models for Robotic Skill Learning—0
A Distributionally Robust Model Predictive Control for Static and Dynamic Uncertainties in Smart Grids—0
A Joint Solution for Scheduling and Precoding in Multiuser MISO Downlink Channels—0
Automated timetabling for small colleges and high schools using huge integer programs—0
A Multi-step and Resilient Predictive Q-learning Algorithm for IoT with Human Operators in the Loop: A Case Study in Water Supply Networks—0
Automatic Block-wise Pruning with Auxiliary Gating Structures for Deep Convolutional Neural Networks—0
Automatic Configuration for Optimal Communication Scheduling in DNN Training—0
A Scalable Method for Scheduling Distributed Energy Resources using Parallelized Population-based Metaheuristics—0
Automatic MILP Model Construction for Multi-Robot Task Allocation and Scheduling Based on Large Language Models—0
Automatic Model Parallelism for Deep Neural Networks with Compiler and Hardware Support—0
Automatic Operator-level Parallelism Planning for Distributed Deep Learning -- A Mixed-Integer Programming Approach—0
Automatic Optimisation of Normalised Neural Networks—0
Automatic Preference Based Multi-objective Evolutionary Algorithm on Vehicle Fleet Maintenance Scheduling Optimization—0
Automatic programming via large language models with population self-evolution for dynamic job shop scheduling problem—0
Automating Care by Self-maintainability for Full Laboratory Automation—0
Automating lookahead planning using site appearance and space utilization—0
Automating Personnel Rostering by Learning Constraints Using Tensors—0
Autonomous Collaborative Scheduling of Time-dependent UAVs, Workers and Vehicles for Crowdsensing in Disaster Response—0
Autonomous Reactive Mission Scheduling and Task-Path Planning Architecture for Autonomous Underwater Vehicle—0
Autonomous Resource Management in Microservice Systems via Reinforcement Learning—0
A Scalable Deep Reinforcement Learning Model for Online Scheduling Coflows of Multi-Stage Jobs for High Performance Computing—0
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