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Showing 2601–2650 of 3104 papers

TitleStatusHype
Adaptive Data Transport Mechanism for UAV Surveillance Missions in Lossy Environments—0
Adaptive Diffusion Guidance via Stochastic Optimal Control—0
Adaptive Group Collaborative Artificial Bee Colony Algorithm—0
Adaptive Knowledge-based Multi-Objective Evolutionary Algorithm for Hybrid Flow Shop Scheduling Problems with Multiple Parallel Batch Processing Stages—0
Adaptive Learning of Design Strategies over Non-Hierarchical Multi-Fidelity Models via Policy Alignment—0
Adaptive Methods for Short-Term Electricity Load Forecasting During COVID-19 Lockdown in France—0
Adaptive Multi-Fidelity Reinforcement Learning for Variance Reduction in Engineering Design Optimization—0
Adaptive Non-Uniform Timestep Sampling for Diffusion Model Training—0
Adaptive Non-Uniform Timestep Sampling for Accelerating Diffusion Model Training—0
Universal Backdoor Attacks Detection via Adaptive Adversarial Probe—0
Adaptive Population-based Simulated Annealing for Uncertain Resource Constrained Job Scheduling—0
Adaptive Relaxation based Non-Conservative Chance Constrained Stochastic MPC—0
Adaptive Resource Management for Edge Network Slicing using Incremental Multi-Agent Deep Reinforcement Learning—0
Adaptive scheduling for adaptive sampling in POS taggers construction—0
Adaptive Scheduling for Machine Learning Tasks over Networks—0
Adaptive Scheduling for Multi-Task Learning—0
Adaptive Services Function Chain Orchestration For Digital Health Twin Use Cases: Heuristic-boosted Q-Learning Approach—0
Adaptive Stochastic Resource Control: A Machine Learning Approach—0
Adaptive Structural Hyper-Parameter Configuration by Q-Learning—0
Adaptive Transmission Scheduling in Wireless Networks for Asynchronous Federated Learning—0
Adaptive User-Oriented Direct Load-Control of Residential Flexible Devices—0
AdaServe: Accelerating Multi-SLO LLM Serving with SLO-Customized Speculative Decoding—0
AdaShadow: Responsive Test-time Model Adaptation in Non-stationary Mobile Environments—0
Understanding Reuse, Performance, and Hardware Cost of DNN Dataflows: A Data-Centric Approach Using MAESTRO—0
A Data-Driven Approach to Dataflow-Aware Online Scheduling for Graph Neural Network Inference—0
A Data-Driven Autopilot for Fixed-Wing Aircraft Based on Model Predictive Control—0
A Data-Driven Machine Learning Approach for Consumer Modeling with Load Disaggregation—0
A Data-Driven Polynomial Chaos Expansion-Based Method for Microgrid Ramping Support Capability Assessment and Enhancement—0
A Deep Learning Approach for Tweet Classification and Rescue Scheduling for Effective Disaster Management—0
A Deep Q-Learning based Smart Scheduling of EVs for Demand Response in Smart Grids—0
A Deep Reinforcement Learning Approach to Multi-component Job Scheduling in Edge Computing—0
A Deep Reinforcement Learning-Based Charging Scheduling Approach with Augmented Lagrangian for Electric Vehicle—0
A Differentiable Framework for End-to-End Learning of Hybrid Structured Compression—0
A Discrete-time Dynamical Model for Optimal Dispatching and Rebalancing of Autonomous Mobility-on-Demand Systems—0
A Distance Similarity-based Genetic Optimization Algorithm for Satellite Ground Network Planning Considering Feeding Mode—0
A Distributed Neural Linear Thompson Sampling Framework to Achieve URLLC in Industrial IoT—0
A Distributionally Robust Model Predictive Control for Static and Dynamic Uncertainties in Smart Grids—0
Advanced Scheduling of Electrolyzer Modules for Grid Flexibility—0
Advanced Statistical Learning on Short Term Load Process Forecasting—0
Enhancing Cyber-Resilience in Integrated Energy System Scheduling with Demand Response Using Deep Reinforcement Learning—0
Advancing Generative Artificial Intelligence and Large Language Models for Demand Side Management with Internet of Electric Vehicles—0
Advancing MG Energy Management: A Rolling Horizon Optimization Framework for Three-Phase Unbalanced Networks Integrating Convex Formulations—0
Adversarial Attack by Limited Point Cloud Surface Modifications—0
Adversarial Bandits with Knapsacks—0
Adversarial Network Optimization under Bandit Feedback: Maximizing Utility in Non-Stationary Multi-Hop Networks—0
Adversarial Training in Low-Label Regimes with Margin-Based Interpolation—0
A Dynamic Improvement Framework for Vehicular Task Offloading—0
Ærø: A Platform Architecture for Mixed-Criticality Airborne Systems—0
A Fast Dynamic Internal Predictive Power Scheduling Approach for Power Management in Microgrids—0
A Fast Graph Kernel Based Classification Method for Wireless Link Scheduling on Riemannian Manifold—0
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