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Showing 1101–1150 of 3104 papers

TitleStatusHype
Capacity Credit Evaluation of Generalized Energy Storage Considering Strategic Capacity Withholding and Decision-Dependent Uncertainty—0
Capacity-Constrained Online Learning with Delays: Scheduling Frameworks and Regret Trade-offs—0
A New Time Series Similarity Measure and Its Smart Grid Applications—0
Capacity-Aware Planning and Scheduling in Budget-Constrained Monotonic MDPs: A Meta-RL Approach—0
Can Q-Learning be Improved with Advice?—0
A New State-of-the-Art Transformers-Based Load Forecaster on the Smart Grid Domain—0
A Fuzzy Reinforcement LSTM-based Long-term Prediction Model for Fault Conditions in Nuclear Power Plants—0
A new neighborhood structure for job shop scheduling problems—0
Camera-Driven Representation Learning for Unsupervised Domain Adaptive Person Re-identification—0
A New Hybrid Multi-Objective Scheduling Model for Hierarchical Hub and Flexible Flow Shop Problems—0
CaMDN: Enhancing Cache Efficiency for Multi-tenant DNNs on Integrated NPUs—0
ENOVA: Autoscaling towards Cost-effective and Stable Serverless LLM Serving—0
Calendar.help: Designing a Workflow-Based Scheduling Agent with Humans in the Loop—0
Adaptive Beamwidth Configuration for Millimeter Wave V2X Scheduling—0
Event-triggered Hybrid Energy-aware Scheduling in Manufacturing Systems—0
CADS: Core-Aware Dynamic Scheduler for Multicore Memory Controllers—0
Caching Placement and Resource Allocation for Cache-Enabling UAV NOMA Networks—0
A new CP-approach for a parallel machine scheduling problem with time constraints on machine qualifications—0
A New Arc-Routing Algorithm Applied to Winter Road Maintenance—0
Enhancing Courier Scheduling in Crowdsourced Last-Mile Delivery through Dynamic Shift Extensions: A Deep Reinforcement Learning Approach—0
Enhancing Convergence, Privacy and Fairness for Wireless Personalized Federated Learning: Quantization-Assisted Min-Max Fair Scheduling—0
Building HVAC Scheduling Using Reinforcement Learning via Neural Network Based Model Approximation—0
A full-time scale energy management and battery size optimization for off-grid renewable power to hydrogen systems: A battery energy storage-based grid-forming case in Inner Mongolian—0
Adaptive and Robust Cross-Voltage-Level Power Flow Control of Active Distribution Networks—0
Enhancing Constraint Programming via Supervised Learning for Job Shop Scheduling—0
Enhancing Column Generation by Reinforcement Learning-Based Hyper-Heuristic for Vehicle Routing and Scheduling Problems—0
Building Better Nurse Scheduling Algorithms—0
Enhancing Adaptive Mixed-Criticality Scheduling with Deep Reinforcement Learning—0
Enhancing Diffusion Models for High-Quality Image Generation—0
Enhancing Kubernetes Automated Scheduling with Deep Learning and Reinforcement Techniques for Large-Scale Cloud Computing Optimization—0
Enhancing Microgrid Resilience with Green Hydrogen Storage—0
Effects of Safety State Augmentation on Safe Exploration—0
Enhancing Traffic Prediction with Textual Data Using Large Language Models—0
Enhancing Virtual Try-On with Synthetic Pairs and Error-Aware Noise Scheduling—0
Enhance Low-Carbon Power System Operation via Carbon-Aware Demand Response—0
Ensuring Fair LLM Serving Amid Diverse Applications—0
Entertaining and Opinionated but Too Controlling: A Large-Scale User Study of an Open Domain Alexa Prize System—0
Entropic Time Schedulers for Generative Diffusion Models—0
Entropy Regularization for Mean Field Games with Learning—0
Environment-Aware Scheduling of URLLC and Sensing Services for Smart Industries—0
Building a Truly Distributed Constraint Solver with JADE—0
Can Dynamic TDD Enabled Half-Duplex Cell-Free Massive MIMO Outperform Full-Duplex Cellular Massive MIMO?—0
A New Approach for Resource Scheduling with Deep Reinforcement Learning—0
EquiBench: Benchmarking Large Language Models' Understanding of Program Semantics via Equivalence Checking—0
Equitable 6G Access Service via Cloud-Enabled HAPS for Optimizing Hybrid Air-Ground Networks—0
Buffer Pool Aware Query Scheduling via Deep Reinforcement Learning—0
Escaping from Zero Gradient: Revisiting Action-Constrained Reinforcement Learning via Frank-Wolfe Policy Optimization—0
Enhanced Machine Learning Techniques for Early HARQ Feedback Prediction in 5G—0
ESOD:Edge-based Task Scheduling for Object Detection—0
A Full-Stack Search Technique for Domain Optimized Deep Learning Accelerators—0
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