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Found 4 papers, 1 papers with code
Dynamic Task and Weight Prioritization Curriculum Learning for Multimodal Imagery
Our primary objective is to develop a curriculum-trained multimodal deep learning model, with a particular focus on visual question answering (VQA) capable of jointly processing image and text data, in conjunction with semantic segmentation for disaster analytics using the FloodNet\footnote{https://github. com/BinaLab/FloodNet-Challenge-EARTHVISION2021} dataset.
Phase Space Analysis of Cardiac Spectra
This manuscript investigates two different ECG systems produced from normal and abnormal human hearts to introduce an auxiliary phase space method in conjunction with ECG signals for diagnoses of heart diseases.
Understanding of Normal and Abnormal Hearts by Phase Space Analysis and Convolutional Neural Networks
In order to increase accuracy, a straight line is drawn between the highest Q-R distance in the phase space images of the records.
Mathematical and Linguistic Characterization of Orhan Pamuk's Nobel Works
The results are compared with the applications of Zipf's law, which is successfully applied for letters and words, where two concepts, namely Zipf's dimension and Zipf's order, are introduced.
