Sayed Khushal Shah

Orcid: 0000-0002-9309-5656

According to our database1, Sayed Khushal Shah authored at least 12 papers between 2018 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2022
Feature-Based Fusion Using CNN for Lung and Heart Sound Classification.
Sensors, 2022

Data protections for minors with named entity recognition.
Proceedings of the IEEE International Conference on Big Data, 2022

Twitter Accounts Suggestion: Pipeline Technique SpaCy Entity Recognition.
Proceedings of the IEEE International Conference on Big Data, 2022

2021
Event-Driven Deep Learning for Edge Intelligence (EDL-EI).
Sensors, 2021

2020
Automatic Multimodal Heart Disease Classification using Phonocardiogram Signal.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Real-Time Machine Learning for Air Quality and Environmental Noise Detection.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Multimodal Lung Disease Classification using Deep Convolutional Neural Network.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019
Speech Emotion Detection using IoT based Deep Learning for Health Care.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

IoT based Urban Noise Monitoring in Deep Learning using Historical Reports.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Lung Disease Classification using Deep Convolutional Neural Network.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2018
Smart 311 Request System with Automatic Noise Detection for Safe Neighborhood.
Proceedings of the IEEE International Smart Cities Conference, 2018

Audio IoT Analytics for Home Automation Safety.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018


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