to
SEANN: A Domain-Informed Neural Network for Epidemiological Insights

In epidemiology, traditional statistical methods such as logistic regression, linear regression, and other parametric models are commonly employed to...

aaronmarkham
2025-01-21
Computer Science
nova

Enhancing Data Integrity through Provenance Tracking in Semantic Web Frameworks

This paper explores the integration of provenance tracking systems within the context of Semantic Web technologies to enhance data integrity in diver...

aaronmarkham
2025-01-21
Computer Science
nova

Bio-inspired AI: Integrating Biological Complexity into Artificial Intelligence

The pursuit of creating artificial intelligence (AI) mirrors our longstanding fascination with understanding our own intelligence. From the myths of ...

aaronmarkham
2025-01-21
Biology
nova

Quantifying Relational Exploration in Cultural Heritage Knowledge Graphs with LLMs: A Neuro-Symbolic Approach

This paper introduces a neuro-symbolic approach for relational exploration in cultural heritage knowledge graphs, leveraging Large Language Models (L...

aaronmarkham
2025-01-21
Computer Science
nova

GenSC-6G: A Prototype Testbed for Integrated Generative AI, Quantum, and Semantic Communication

We introduce a prototyping testbed, GenSC-6G, developed to generate a comprehensive dataset that supports the integration of generative artificial i...

aaronmarkham
2025-01-21
Computer Science
nova

Shape-Based Single Object Classification Using Ensemble Method Classifiers

Nowadays, more and more images are available. Annotation and retrieval of the images pose classification problems, where each class is defined as the...

aaronmarkham
2025-01-21
Computer Science
nova

Shape-Based Single Object Classification Using Ensemble Method Classifiers

Nowadays, more and more images are available. Annotation and retrieval of the images pose classification problems, where each class is defined as the...

test1
2025-01-21
Computer Science
nova

Large Language Models, Knowledge Graphs and Search Engines: A Crossroads for Answering Users' Questions

Much has been discussed about how Large Language Models, Knowledge Graphs and Search Engines can be combined in a synergistic manner. A dimension lar...

test1
2025-01-21
Computer Science
nova

Leveraging Large Language Models as Knowledge-Driven Agents for Reliable Retrosynthesis Planning

Identifying reliable synthesis pathways in materials chemistry is a complex task, particularly in polymer science, due to the intricate and often no...

test1
2025-01-21
Computer Science
nova