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Naseem Babu
Also published under:
Affiliation
Department of Computer Science and Engineering, Indian Institute of Technology Patna, Patna, Bihar, India
Topic
Mel-frequency Cepstral Coefficients,Breath Sounds,Convolutional Neural Network,Data Augmentation,Deep Learning,Long Short-term Memory,Machine Learning Classifiers,Model Performance,Performance Of Classification Models,Pulmonary Disease,Respiratory Signals,Sound Detection,Stridor,Acoustic Features,Acute Lower Respiratory Infections,Approximation Coefficients,Artificial Neural Network,Audio Classification,Augmentation Methods,Augmentation Techniques,Availability Of Datasets,Binary Classification,Cepstral Coefficients,Class Classification,Classification Methods,Classification Model,Classification Performance,Classification Problem,Confusion Matrix,Considerable Improvement,Continuous Wavelet Transform,Data Augmentation Techniques,Decision Tree,Decision Tree Classifier,Deep Learning Classification,Deep Learning Models,Deep Models,Detailed Comparison,Detection Framework,Different Types Of Algorithms,Different Types Of Diseases,Discrete Fourier Transform,Early-stage Diagnosis,Evaluation Phase,Frequency Domain Features,Gated Recurrent Unit,Good Classification Accuracy,Learning Models,Machine Learning,Machine Learning Models,
Biography
Naseem Babu received the B.Tech. degree in information technology from AKTU University, Lucknow, Uttar Pradesh, India, and the M.Tech. degree in computer engineering from the National Institute of Technology, Jaipur, India. He is currently pursuing the Ph.D. degree in computer science and engineering with Indian Institute of Technology Patna, India. His research interests include audio signal processing, brain–computer interfaces, machine learning, deep learning, and respiratory sound signals.