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Scheduling

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Showing 1651–1700 of 3104 papers

TitleStatusHype
A Novel Multi-Agent System for Complex Scheduling Problems—0
A novel pedestrian road crossing simulator for dynamic traffic light scheduling systems—0
A Novel Prediction Setup for Online Speed-Scaling—0
A novel S-shape based NURBS interpolation with acc-jerk- Continuity and round-off error elimination—0
An SMT Based Compositional Algorithm to Solve a Conflict-Free Electric Vehicle Routing Problem—0
Answering from Sure to Uncertain: Uncertainty-Aware Curriculum Learning for Video Question Answering—0
Answer-Set Programming for Lexicographical Makespan Optimisation in Parallel Machine Scheduling—0
Anytime and Efficient Coalition Formation with Spatial and Temporal Constraints—0
Anytime Belief Propagation Using Sparse Domains—0
Anytime Diagnosis for Reconfiguration—0
Anytime-Lidar: Deadline-aware 3D Object Detection—0
AoI-Delay Tradeoff in Mobile Edge Caching: A Mixed-Order Drift-Plus-Penalty Algorithm—0
AoI-minimizing Scheduling in UAV-relayed IoT Networks—0
A Particle Swarm Inspired Approach for Continuous Distributed Constraint Optimization Problems—0
A Polynomial Time Approximation Scheme for a Single Machine Scheduling Problem Using a Hybrid Evolutionary Algorithm—0
A polynomial-time scheduling approach to minimise idle energy consumption: an application to an industrial furnace—0
Application of Deep Learning Long Short-Term Memory in Energy Demand Forecasting—0
Application of Machine Learning Optimization in Cloud Computing Resource Scheduling and Management—0
Application of Multivariate Data Analysis to machine power measurements as a means of tool life Predictive Maintenance for reducing product waste—0
Application of Reinforcement Learning for 5G Scheduling Parameter Optimization—0
Applications of Artificial Intelligence, Machine Learning and related techniques for Computer Networking Systems—0
Applying Graph-based Deep Learning To Realistic Network Scenarios—0
Applying Neural Monte Carlo Tree Search to Unsignalized Multi-intersection Scheduling for Autonomous Vehicles—0
Stability Constrained Optimization in High IBR-Penetrated Power Systems-Part I: Constraint Development and Unification—0
Stabilizing scheduling logic for networked control systems under limited capacity and lossy communication networks—0
Stable Reinforcement Learning with Unbounded State Space—0
Stacked Auto Encoder Based Deep Reinforcement Learning for Online Resource Scheduling in Large-Scale MEC Networks—0
Stackelberg game-based optimal scheduling of integrated energy systems considering differences in heat demand across multi-functional areas—0
Standardized feature extraction from pairwise conflicts applied to the train rescheduling problem—0
State-Aware IoT Scheduling Using Deep Q-Networks and Edge-Based Coordination—0
State-Dependent Processing in Payment Channel Networks for Throughput Optimization—0
State-Novelty Guided Action Persistence in Deep Reinforcement Learning—0
Statistical Adaptive Stochastic Optimization—0
Statistical Analysis and Optimization of a Fifth-Percentile User Rate Constrained Design for FFR/SFR-Aided OFDMA-Based Cellular Networks—0
STDA-Meta: A Meta-Learning Framework for Few-Shot Traffic Prediction—0
Stochastic Event-based Sensor Schedules for Remote State Estimation in Cognitive Radio Sensor Networks—0
Stochastic Lp string stability analysis in predecessor-following platoons under packet losses—0
Stochastic optimal scheduling of demand response-enabled microgrids with renewable generations: An analytical-heuristic approach—0
Stochastic Phased Array Performance Indicators for Quality-of-Service-Enhanced Massive MIMO—0
Stochastic Pre-Event Preparation for Enhancing Resilience of Distribution Systems with High DER Penetration—0
Strategic Data Augmentation with CTGAN for Smart Manufacturing: Enhancing Machine Learning Predictions of Paper Breaks in Pulp-and-Paper Production—0
Learnability with Time-Sharing Computational Resource Concerns—0
Streaming Generation of Co-Speech Gestures via Accelerated Rolling Diffusion—0
StreamRL: Scalable, Heterogeneous, and Elastic RL for LLMs with Disaggregated Stream Generation—0
Strength-Adaptive Adversarial Training—0
Stretching Rubber, Not Budgets: Accurate Parking Utilization on a Shoestring—0
Strict Partitioning for Sporadic Rigid Gang Tasks—0
Strong Priority and Determinacy in Timed CCS—0
Structure-Enhanced Deep Reinforcement Learning for Optimal Transmission Scheduling—0
Structure-Enhanced DRL for Optimal Transmission Scheduling—0
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