ML-DSP: Machine Learning with Digital Signal Processing for ultrafast, accurate, and scalable genome classification at all taxonomic levels
Background Although software tools abound for the comparison, analysis, identification, and
classification of genomic sequences, taxonomic classification remains challenging due to …
classification of genomic sequences, taxonomic classification remains challenging due to …
An effective machine learning approach for classifying artefact-free and distorted capnogram segments using simple time-domain features
Capnogram signal analysis has received considerable attention owing to its important
applications in assessing cardiopulmonary functions. However, the automatic elimination of …
applications in assessing cardiopulmonary functions. However, the automatic elimination of …
Automatic classification of regular and irregular capnogram segments using time-and frequency-domain features: A machine learning-based approach
IM El-Badawy, OP Singh… - Technology and Health …, 2021 - content.iospress.com
BACKGROUND: The quantitative features of a capnogram signal are important clinical
metrics in assessing pulmonary function. However, these features should be quantified from …
metrics in assessing pulmonary function. However, these features should be quantified from …
Improved singular value decomposition-based exons prediction approach using forward-backward filtering
IM El-Badawy, Z Omar - 2019 IEEE International Conference on …, 2019 - ieeexplore.ieee.org
Exons prediction is a significant task in genomic signal processing to identify the locations of
protein-coding regions in deoxyribonucleic acid (DNA) sequences. Singular value …
protein-coding regions in deoxyribonucleic acid (DNA) sequences. Singular value …
[PDF][PDF] FRAMEWORK FOR MACHINE LEARNING ARTEFACT REMOVAL AND EMPIRICAL MODE DECOMPOSITION FOR CAPNOGRAM-BASED ASTHMA …
IMIB ELBADAWY - 2023 - eprints.utm.my
Capnography has received considerable attention owing to its important applications in
assessing asthma and other pulmonary diseases. Monitoring abnormal changes in the …
assessing asthma and other pulmonary diseases. Monitoring abnormal changes in the …
[PDF][PDF] An Effective Machine Learning Approach for Classifying Artefact-Free and Distorted Capnogram Segments Using Simple Time-Domain
OMP SINGH - academia.edu
Capnogram signal analysis has received considerable attention owing to its important
applications in assessing cardiopulmonary functions. However, the automatic elimination of …
applications in assessing cardiopulmonary functions. However, the automatic elimination of …