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Scheduling

Project or Job Scheduling

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Showing 2451–2500 of 3104 papers

TitleStatusHype
Proactive Scheduling of Hydrogen Systems for Resilience Enhancement of Distribution Networks—0
Probabilistic Broken-Stick Model: A Regression Algorithm for Irregularly Sampled Data with Application to eGFR—0
Probabilistic Dynamic Line Rating Forecasting with Line Graph Convolutional LSTM—0
Probabilistic Planning for Continuous Dynamic Systems under Bounded Risk—0
Probabilistic Scheduling of UFLS to Secure Credible Contingencies in Low Inertia Systems—0
Probabilistic Tube-based Control Synthesis of Stochastic Multi-Agent Systems under Signal Temporal Logic—0
Production planning in 3DPrinting factories—0
Production Ready Chatbots: Generate if not Retrieve—0
Programmable FPGA-based Memory Controller—0
Prompt-Aware Scheduling for Efficient Text-to-Image Inferencing System—0
PROMPT: Learning Dynamic Resource Allocation Policies for Network Applications—0
Proportional Fair Scheduling Using Water-Filling Technique for SC-FDMA Based D2D Communication—0
Protecting Privacy through Distributed Computation in Multi-agent Decision Making—0
ProTuner: Tuning Programs with Monte Carlo Tree Search—0
Public Transportation Demand Analysis: A Case Study of Metropolitan Lagos—0
Pull-Based Query Scheduling for Goal-Oriented Semantic Communication—0
PV-VLM: A Multimodal Vision-Language Approach Incorporating Sky Images for Intra-Hour Photovoltaic Power Forecasting—0
Q-greedyUCB: a New Exploration Policy for Adaptive and Resource-efficient Scheduling—0
Q-learning-based Hierarchical Cooperative Local Search for Steelmaking-continuous Casting Scheduling Problem—0
Q-Learning Scheduler for Multi-Task Learning through the use of Histogram of Task Uncertainty—0
Q-Learning Scheduler for Multi Task Learning Through the use of Histogram of Task Uncertainty—0
QMNet: Importance-Aware Message Exchange for Decentralized Multi-Agent Reinforcement Learning—0
Intelligent Resource Scheduling for Co-located Latency-critical Services: A Multi-Model Collaborative Learning Approach—0
QoS-Aware Scheduling in New Radio Using Deep Reinforcement Learning—0
QoS-Oriented Sensing-Communication-Control Co-Design for UAV-Enabled Positioning—0
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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