Federated learning (FL) has the potential to boost deep learning in neuroimaging but is rarely deployed in real-world scenarios, where its true potential lies. We propose FLightcase, a new FL toolbox ...

1 Amazon Web Services, Seattle, USA. 2 Rajiv Gandhi University of Knowledge Technologies, Nuzvid, India. Optical Coherence Tomography (OCT) is a non-invasive imaging modality widely employed for ...

Global Partnerships and Programs is a global gateway that brings Purdue's university-wide internationally-focused units onto one unified platform. This site reflects Purdue’s commitment to fostering a ...

TATS (Toolbox for Augmenting Time Series) is a MATLAB-based research toolbox designed for systematic evaluation of time series augmentation methods in supervised classification tasks. The toolbox ...

Abstract: The numerous toolboxes within MATLAB [12] to aid student engagement and learning largely require deep understanding of coding, as well as the associated engineering. This paper discusses ...

1. Demonstrate that scientific knowledge applies across multiple scales of size and/or time. Climate impacts, local vs global. Climate change timescales, long term (geologic timescale) to short term ...

The ongoing revolution in deep learning is reshaping research across many fields, including economics. Its effects are especially clear in solving dynamic economic models. These models often lack ...

This project presents a complete workflow for cone detection in Formula Student Driverless scenarios using deep learning. It demonstrates how to use MATLAB® and Simulink® for data preparation and ...

Cloud content management giant Box Inc. today is expanding its artificial intelligence capabilities with the launch of new AI agents for search, deep research and data extraction that will automate ...

Abstract: Deep learning algorithms have improved much the detection of skin cancer. This research introduces a new method to improve efficiency and accuracy in the diagnosis of skin cancer using ...