Overview: Qiskit remains the world’s most widely used quantum SDK for research and enterprise projects.AI and quantum ...
Optimization algorithms for robotic assembly systems seek to enhance efficiency, flexibility and robustness in automated manufacturing tasks. Central challenges include the sequencing of assembly ...
In large retail operations, category management teams spend significant time deciding which product goes onto which shelf and in which order. Shelf space is very expensive real estate in retail.
This research communication aims to present a curricular proposal to relate the importance of the application of optimal control theory for dynamic supply chains for industrial engineering students ...
ABSTRACT: Depression is a clinically heterogeneous disorder comprising subtypes such as melancholic, atypical, anxious, and unspecified, each characterized by distinct symptom profiles and treatment ...
Abstract: Optimization algorithms are widely employed to tackle complex problems, but designing them manually is often labor-intensive and requires significant expertise. Global placement is a ...
Abstract: This article investigates the application of artificial intelligence (AI) for optimizing wind energy systems through a combined theoretical, analytical, and practical approach. In the ...
portfolio-optimization-rl/ ├── src/ │ ├── envs/ │ │ └── portfolio_env.py # Portfolio optimization environments │ ├── agents/ │ │ └── rl_agents.py # RL agent implementations │ └── config.py # ...
Important Note: This project explores quantum-inspired algorithms using classical implementations. All code is research-grade, not production-ready. Hybrid methods combine tensor operations with ...
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