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Showing 2626–2650 of 3104 papers
Title
Date
Tasks
Status
Hype
Score
A Data-Driven Autopilot for Fixed-Wing Aircraft Based on Model Predictive Control
Feb 1, 2024
Model Predictive Control
Scheduling
—
Unverified
0
0
A Data-Driven Machine Learning Approach for Consumer Modeling with Load Disaggregation
Nov 4, 2020
BIG-bench Machine Learning
energy trading
—
Unverified
0
0
A Data-Driven Polynomial Chaos Expansion-Based Method for Microgrid Ramping Support Capability Assessment and Enhancement
Feb 24, 2023
Scheduling
—
Unverified
0
0
A Deep Learning Approach for Tweet Classification and Rescue Scheduling for Effective Disaster Management
Aug 5, 2019
Feature Engineering
General Classification
—
Unverified
0
0
A Deep Q-Learning based Smart Scheduling of EVs for Demand Response in Smart Grids
Jan 5, 2024
Q-Learning
Scheduling
—
Unverified
0
0
A Deep Reinforcement Learning Approach to Multi-component Job Scheduling in Edge Computing
Aug 26, 2019
Deep Reinforcement Learning
Edge-computing
—
Unverified
0
0
A Deep Reinforcement Learning-Based Charging Scheduling Approach with Augmented Lagrangian for Electric Vehicle
Sep 20, 2022
Deep Reinforcement Learning
Reinforcement Learning (RL)
—
Unverified
0
0
A Differentiable Framework for End-to-End Learning of Hybrid Structured Compression
Sep 21, 2023
Scheduling
—
Unverified
0
0
A Discrete-time Dynamical Model for Optimal Dispatching and Rebalancing of Autonomous Mobility-on-Demand Systems
Feb 3, 2024
Autonomous Vehicles
Model Predictive Control
—
Unverified
0
0
A Distance Similarity-based Genetic Optimization Algorithm for Satellite Ground Network Planning Considering Feeding Mode
Aug 29, 2024
Scheduling
—
Unverified
0
0
A Distributed Neural Linear Thompson Sampling Framework to Achieve URLLC in Industrial IoT
Nov 21, 2023
Scheduling
Thompson Sampling
—
Unverified
0
0
A Distributionally Robust Model Predictive Control for Static and Dynamic Uncertainties in Smart Grids
Mar 25, 2024
Model Predictive Control
Scheduling
—
Unverified
0
0
Advanced Scheduling of Electrolyzer Modules for Grid Flexibility
Dec 26, 2024
Scheduling
—
Unverified
0
0
Advanced Statistical Learning on Short Term Load Process Forecasting
Oct 19, 2021
Decision Making
Management
—
Unverified
0
0
Enhancing Cyber-Resilience in Integrated Energy System Scheduling with Demand Response Using Deep Reinforcement Learning
Nov 28, 2023
Deep Reinforcement Learning
Scheduling
—
Unverified
0
0
Advancing Generative Artificial Intelligence and Large Language Models for Demand Side Management with Internet of Electric Vehicles
Jan 26, 2025
Code Generation
energy management
—
Unverified
0
0
Advancing MG Energy Management: A Rolling Horizon Optimization Framework for Three-Phase Unbalanced Networks Integrating Convex Formulations
Mar 19, 2025
energy management
Management
—
Unverified
0
0
Adversarial Attack by Limited Point Cloud Surface Modifications
Oct 7, 2021
Adversarial Attack
Point Cloud Classification
—
Unverified
0
0
Adversarial Bandits with Knapsacks
Nov 28, 2018
Multi-Armed Bandits
Scheduling
—
Unverified
0
0
Adversarial Network Optimization under Bandit Feedback: Maximizing Utility in Non-Stationary Multi-Hop Networks
Aug 29, 2024
Scheduling
—
Unverified
0
0
Adversarial Training in Low-Label Regimes with Margin-Based Interpolation
Nov 27, 2024
Scheduling
—
Unverified
0
0
A Dynamic Improvement Framework for Vehicular Task Offloading
Jan 20, 2025
Scheduling
—
Unverified
0
0
Ærø: A Platform Architecture for Mixed-Criticality Airborne Systems
Aug 30, 2022
Scheduling
—
Unverified
0
0
A Fast Dynamic Internal Predictive Power Scheduling Approach for Power Management in Microgrids
Sep 25, 2024
Management
Scheduling
—
Unverified
0
0
A Fast Graph Kernel Based Classification Method for Wireless Link Scheduling on Riemannian Manifold
Jun 25, 2021
Binary Classification
Scheduling
—
Unverified
0
0
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