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Study uses machine learning to map pH-dependent performance of tin catalysts
Some of the most encouraging results for reaction-enhancing catalysts come from one material in particular: tin (Sn). While ...
IEEE16h
Migraine Classification from EEG Signals Using ML Algorithms
Migraine is a complex neurological disorder with symptoms that often overlap with other conditions, complicating accurate diagnosis. This study applies machine learning (ML) for migraine ...
Exploring interpretable machine learning
I am a computational biologist interested in interpretable machine learning for genomics and health care. Interpretable ...
IEEE20h
Classification of Human Voice Types Using Convolutional Neural Network Algorithm with Extraction of Mel-Frequency Cepstral Coefficients - IEEE Xplore
Detection of human voice types in the context of choir as a learning medium using CNN and MFCC. This research aims to classify the type of human voice so that it can be divided into four labels, ...