An exploration of kernel combinations in a Sparse Gaussian Process framework to forecast web traffic data, optimizing scalability using inducing points and ELBO maximization.
A comparative study of machine learning techniques, including transfer learning, CNNs, SVMs, and logistic regression, using the Melanoma Skin Cancer Dataset.
A critical review of multi-agent, multi-scenario, and multi-task frameworks in reinforcement learning for recommender systems.
Grants-Self-Service System uses LLMs and RAG techniques to streamline Vanderbilt University's grant applications, providing quick access to prior grant data securely.
A cloud-based system that explores scheduling strategies for task distribution and resource management to efficiently integrate Vision-Language Models for generating accurate and context-rich image captions in real-time.
An Autonomous Vehicle Taxi system combining localization, routing, motion planning, and perception algorithms to navigate a simuated city.
A productivity tool designed for project teams to streamline workflows, enhance collaboration, and maximize efficiency.
A modern flashcard application designed for efficient learning and content management with adaptive study sessions.