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Showing 2476–2500 of 3104 papers

TitleStatusHype
Quality Analysis of Battery Degradation Models with Real Battery Aging Experiment Data—0
Quality-Aware Hydraulic Control in Drinking Water Networks via Controllability Proxies—0
Quantifying the relationship between student enrollment patterns and student performance—0
Quantile Learn-Then-Test: Quantile-Based Risk Control for Hyperparameter Optimization—0
Quantitative Analysis of Demand Response Using Thermostatically Controlled Loads—0
Quantum Computing based Hybrid Solution Strategies for Large-scale Discrete-Continuous Optimization Problems—0
Quantum Generative Models for Image Generation: Insights from MNIST and MedMNIST—0
Quantum-Inspired Genetic Optimization for Patient Scheduling in Radiation Oncology—0
Quantum Multi-Agent Reinforcement Learning for Cooperative Mobile Access in Space-Air-Ground Integrated Networks—0
Quantum Reinforcement Learning-Based Two-Stage Unit Commitment Framework for Enhanced Power Systems Robustness—0
Quantum Scheduling for Millimeter-Wave Observation Satellite Constellation—0
Query-Age-Optimal Scheduling under Sampling and Transmission Constraints—0
Query Scheduling in the Presence of Complex User Profiles—0
Queueing, Predictions, and LLMs: Challenges and Open Problems—0
Queue Scheduling with Adversarial Bandit Learning—0
Queues with Small Advice—0
Queuing Theory Guided Intelligent Traffic Scheduling through Video Analysis using Dirichlet Process Mixture Model—0
Qwen2.5-1M Technical Report—0
Radio Resource Allocation in 5G New Radio: A Neural Networks Based Approach)—0
Radio Resource Management for V2V Multihop Communication Considering Adjacent Channel Interference—0
RAGServe: Fast Quality-Aware RAG Systems with Configuration Adaptation—0
Railway Operation Rescheduling System via Dynamic Simulation and Reinforcement Learning—0
Railway Scheduling Using Boolean Satisfiability Modulo Simulations—0
Rainbow-link: Beam-Alignment-Free and Grant-Free mmW Multiple Access using True-Time-Delay Array—0
RAISE -- Radiology AI Safety, an End-to-end lifecycle approach—0
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