Latest Articles for Resource Management

A new method enhances efficiency in intelligent transportation systems through multi-agent learning.

A look at evolutionary algorithms for solving complex choice problems.

Aladdin optimizes resource management for efficient LLM inference and improved performance.

Explore the latest methods and challenges in distributed graph coloring.

Learn about flexible job shop scheduling and its impact on efficiency.

Effective strategies for distributing quantum entanglement in advanced optical networks.

Combining terrestrial and non-terrestrial networks to enhance connectivity and reduce energy use.

Exploring capability sets to improve decision-making under uncertainty.

Examining average sensitivity for better decision-making in resource allocation.

Learn how distributed learning can improve machine learning efficiency and model training.

New method enhances fluid movement modeling in complex underground environments.

New methods improve decision-making in constrained reinforcement learning.

Improved strategies for efficient job scheduling on parallel machines.

Introducing DEMon, a decentralized monitoring system for efficient edge computing.

COUP improves algorithm configuration by efficiently exploring parameter spaces.

A new approach to scheduling jobs in data processing clusters using decision trees.

This paper discusses prioritizing treatments within budget constraints for better outcomes.

A new approach for understanding expected costs of probabilistic programs using higher-order separation logic.

Exploring the importance of fluid flow prediction for resource extraction.

New techniques improve accuracy and speed in reservoir modeling for oil and gas extraction.

A strategy to improve server allocation for better job execution and reduced delays.

A new approach for optimizing tree structures under load constraints.

A look at vertex cover, set cover, and hitting set problems in graph theory.

Explore how game theory enhances cooperation among agents in complex systems.

ISAC combines sensing and communication for better wireless technology.

Windex optimizes resource allocation for diverse user needs in NextG cellular networks.

Understanding fluid movement through complex porous materials for better resource management.

A method to maximize resource use during disasters and emergencies.

Systems must consider human values in decision-making for fair outcomes.

A look into lexicographic maximization techniques and their practical uses.

Examining the complexities of distributing indivisible items fairly and efficiently.

A computer program simulating fluid movement in porous materials for various research fields.

Exploring innovative scheduling methods to improve quantum resource management using reinforcement learning.

A new approach enhances decision-making in uncertain maritime environments.

A look at efficient resource allocation in quantum networks and the role of EGS.

Fed-Grow allows users to build larger models together while protecting privacy.

A new method combines unsupervised learning with combinatorial optimization to improve decision-making.

Effective resource management is crucial for winning elections.

Examining how groups decide between costly and limited resources.

A novel model enhances accuracy in analyzing complex remote sensing images.