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Scheduling

Project or Job Scheduling

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Showing 1101–1150 of 3104 papers

TitleStatusHype
Cooperation in Space: HAPS-Aided Optical Inter-Satellite Connectivity with Opportunistic Scheduling—0
Conversational Crowdsensing: A Parallel Intelligence Powered Novel Sensing Approach—0
A prediction-based approach for online dynamic patient scheduling: a case study in radiotherapy treatment—0
Convergence Analysis and System Design for Federated Learning over Wireless Networks—0
Control of Renewable Energy Communities using AI and Real-World Data—0
A Bring-Your-Own-Model Approach for ML-Driven Storage Placement in Warehouse-Scale Computers—0
A Holistic Review on Advanced Bi-directional EV Charging Control Algorithms—0
Universal Backdoor Attacks Detection via Adaptive Adversarial Probe—0
Control of bilinear systems using gain-scheduling: Stability and performance guarantees—0
Control-mode as a Grid Service in Software-defined Power Grids: GFL vs GFM—0
Approximation Algorithms for Multi-Robot Patrol-Scheduling with Min-Max Latency—0
Control-Aware Scheduling for Low Latency Wireless Systems with Deep Learning—0
Approximating Trajectory Constraints with Machine Learning -- Microgrid Islanding with Frequency Constraints—0
A History-Guided Regional Partitioning Evolutionary Optimization for Solving the Flexible Job Shop Problem with Limited Multi-load Automated Guided Vehicles—0
Contributions to the development of the CRO-SL algorithm: Engineering applications problems—0
Contract Scheduling With Predictions—0
Approximating Optimal Labelings for Temporal Connectivity—0
Contract Scheduling with Distributional and Multiple Advice—0
Continuous K-Max Bandits—0
Approximate matrix completion based on cavity method—0
A Hierarchical Temporal Planning-Based Approach for Dynamic Hoist Scheduling Problems—0
Adaptive Non-Uniform Timestep Sampling for Accelerating Diffusion Model Training—0
Acela: Predictable Datacenter-level Maintenance Job Scheduling—0
Continual Learning in Linear Classification on Separable Data—0
Context-aware Constrained Reinforcement Learning Based Energy-Efficient Power Scheduling for Non-stationary XR Data Traffic—0
Appointment scheduling model in healthcare using clustering algorithms—0
CONSTRUCTA: Automating Commercial Construction Schedules in Fabrication Facilities with Large Language Models—0
Applying Partial-ACO to Large-scale Vehicle Fleet Optimisation—0
A heuristic method for data allocation and task scheduling on heterogeneous multiprocessor systems under memory constraints—0
Constraint Answer Set Programming: Integrational and Translational (or SMT-based) Approaches—0
Constraint and Mathematical Programming Models for Integrated Port Container Terminal Operations—0
Applying Neural Monte Carlo Tree Search to Unsignalized Multi-intersection Scheduling for Autonomous Vehicles—0
Constrained Pseudo-market Equilibrium—0
Applying Graph-based Deep Learning To Realistic Network Scenarios—0
A Hardware Evaluation Framework for Large Language Model Inference—0
Adaptive Non-Uniform Timestep Sampling for Diffusion Model Training—0
Considering the multi-time scale rolling optimization scheduling method of micro-energy network connected to electric vehicles—0
ConServe: Harvesting GPUs for Low-Latency and High-Throughput Large Language Model Serving—0
CoNo: Consistency Noise Injection for Tuning-free Long Video Diffusion—0
Connection-Based Scheduling for Real-Time Intersection Control—0
Applications of Artificial Intelligence, Machine Learning and related techniques for Computer Networking Systems—0
Application of Reinforcement Learning for 5G Scheduling Parameter Optimization—0
Conflict-free Charging and Real-time Control for an Electric Bus Network—0
Configuring Transmission Thresholds in IIoT Alarm Scenarios for Energy-Efficient Event Reporting—0
Application of Multivariate Data Analysis to machine power measurements as a means of tool life Predictive Maintenance for reducing product waste—0
A gray-box approach for curriculum learning—0
Adaptive Multi-Fidelity Reinforcement Learning for Variance Reduction in Engineering Design Optimization—0
A BCS-GDE Multi-objective Optimization Algorithm for Combined Cooling, Heating and Power Model with Decision Strategies—0
Confidence-Regulated Generative Diffusion Models for Reliable AI Agent Migration in Vehicular Metaverses—0
Confidence-Guided Learning Process for Continuous Classification of Time Series—0
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