Anjali Yadav

According to our database1, Anjali Yadav authored at least 10 papers between 2017 and 2020.

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

Timeline

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PhD thesis 
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Links

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Bibliography

2020
Machine learning-based classification of cardiac diseases from PCG recorded heart sounds.
Neural Comput. Appl., 2020

Machine Learning Based Automatic Classification of Respiratory Signals using Wavelet Transform.
Proceedings of the 43rd International Conference on Telecommunications and Signal Processing, 2020

Low Cost Portable Diagnostic Device for Automatic Classification of the Abnormal Cardiac Sound using PGC Recording.
Proceedings of the APPIS 2020: 3rd International Conference on Applications of Intelligent Systems, 2020

Transfer Learning based Computer Vision Technology for Assisting Visually Impaired for detection of Common Places.
Proceedings of the APPIS 2020: 3rd International Conference on Applications of Intelligent Systems, 2020

2019
Automatic Extraction of Micro-aneurysms and Haemorrhages from Digital Fundus Image.
Proceedings of the 42nd International Conference on Telecommunications and Signal Processing, 2019

Machine learning based improved automatic diagnosis of cardiac disorder.
Proceedings of the 2nd International Conference on Applications of Intelligent Systems, 2019

Automatic framework for extraction of red lesion using gabor filter from fundus image.
Proceedings of the 2nd International Conference on Applications of Intelligent Systems, 2019

2018
Image processing based acrylamide detection from fried potato chip images using continuous wavelet transform.
Comput. Electron. Agric., 2018

Automatic Classification of Normal and Abnormal PCG Recording Heart Sound Recording Using Fourier Transform.
Proceedings of the IEEE International Work Conference on Bioinspired Intelligence, 2018

2017
Automatic Identification of Botanical Samples of leaves using Computer Vision.
Proceedings of the International Conference and Workshop on Bioinspired Intelligence, 2017


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