In recent years, scientists and researchers have increasingly believed that utilizing large-scale datasets enhances the accuracy of traditional machine learning algorithms and deep learning models ...

Code for "Robust Table Retrieval Under Serialization Shift via Centroid-Aligned Adapters". The project measures how serialization format (CSV, TSV, HTML, Markdown, JSON, etc.) shifts table embeddings ...

Abstract: This study proposes a robust computer vision-based system for autonomous vehicle identification and tracking, utilizing OpenCV with Python for real-time image processing. To precisely ...

Sodium niobate, a lead-free ferroic material, hosts delicately balanced, competing order parameters, including ferroelectric states that can be stabilized by epitaxial strain. Here we show that the ...

Senior Maya Mann shares her research collecting, analyzing and visualizing data on food and grocery store accessibility in major cities, including Baltimore. Senior Maya Mann’s interest in accessible ...

Abstract: The paper focuses on creating an efficient system that can predict the subject's emotional state through analyzing sound environment. Thus, we use open-source audio datasets of various ...

Fiber clustering methods are typically used in brain research to study the organization of white matter bundles from large diffusion MRI tractography datasets. These methods enable exploratory bundle ...

The ultimate pit may affect other aspects in the life of a mine such as economical, technical, environmental, and social aspects. What makes it even more complex is that most often there are many pits ...

One of the most sought-after applications of neuroengineering is the communication between the arm and an artificial prosthetic device for the replacement of an amputated hand or the treatment of ...