Single-Sequence-Based Protein Secondary Structure Prediction using One-Hot and Chemical Encodings of Amino Acids
H Trinh, SK Thittamaranahalli - arXiv preprint arXiv:2407.05173, 2024 - arxiv.org
In protein secondary structure prediction, each amino acid in sequence is typically treated as
a distinct category and represented by a one-hot vector. In this study, we developed two …
a distinct category and represented by a one-hot vector. In this study, we developed two …
A Study of Distance Functions in FastMapSVM for Classifying Seismograms
FastMapSVM is a recently developed Machine Learning framework that combines the
complementary strengths of FastMap and SVMs for classification tasks. It is particularly …
complementary strengths of FastMap and SVMs for classification tasks. It is particularly …
Comparative Analysis of Wavelet and MFCC Features, and Machine Learning Techniques for the Robust Classification of Seismic Signals
The seismic signal classification has numerous real-time applications for objects. Human
and animal footsteps identification is crucial in order to avoid false alarms in security …
and animal footsteps identification is crucial in order to avoid false alarms in security …