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Multimodal Deep Learning Framework for Mental Disorder Recognition @ FG'20

Type inference for Machine Learning pipelines

Our project revolutionizes seismic image interpretation with advanced deep learning, using Convolutional Neural Networks (CNNs) to automate workflows and improve accuracy in subsurface exploration. Trained on synthetic seismic data from coal mines, our algorithm excels in identifying faults, folds, and flat layers.

The aim of this literature review is to provide the reader with a structured overview of the state-of-the-art for the detection of mind wandering from multimodal data streams.

Lung Ultrasound - automatic detection of pathologies (COVID-19 and pneumonia).

A simple golang project to determine which pokemon and move to use against a specific target pokemon using the Pokeapi.