Dr Pallavi Adke
Assistant Professor
| Department of Electrical and Electronics Engineering
Dr. Vishwanath Karad MIT World Peace University
Maharashtra
Expertise:
Computer Science Artificial Intelligence
15
Publications
1
Projects
46
Scopus Citations
32
CrossRef
12 Years 1 Month Total Experience
Scopus
46
Citations
5
h-index
CrossRef
32
Citations
4
h-index
Google Scholar
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Professional Recognition
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Community & Membership
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IETE
FellowPersonal Details
Doctor of Philosophy
2021
N/A
Master of Engineering
2012
N/A
Bachelor of Engineering
2009
MUH Jain College of Education, Vill. Chander Kalan, Tohana
Assistant Professor
Jan 2025 – Present
Dr. Vishwanath Karad MIT World Peace University
| Department of Electrical and Electronics Engineering
Assistant Professor
Feb 2022 – Jan 2025
PIMPRI CHINCHWAD EDUCATION TRUST'S PIMPRI CHINCHWAD COLLEGE OF ENGINEERING AND RESEARCH, LAXMINAGAR, RAVET
| Department of Electronics and Telecommunication Engineering
Assistant Professor
Jul 2014 – Dec 2020
M V J College of Engineering, BANGALORE
| Department of Electronics and Communication Engineering
Assistant Professor
Jun 2013 – May 2014
Dr. D. Y. Patil Pratishthan's, D.Y. Patil College of Engineering, Akurdi, Pune
| Department of Electronics and Telecommunication Engineering
Engineering and Technology
Scholarly Work
Design of Portable and User Friendly Ejection Fraction Calculation Device using Deep Learning Technique to Measure Capacity of the Heart from Echocardiographic Image Sequences
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Multi Stamping Eyeliner Applicator for Applying Makeup
Dr. Pallavi Adke
-
Application No. :
202321005722
Filed :
27-01-2023
Published :
10-02-2023
Published
Automatic Ejection Fraction Calculation System From Echocardiographic Images
Dr. Pallavi Adke
Gaurav Adke
-
Application No. :
202221021453
Filed :
11-04-2022
Published :
08-07-2022
Published
Scholarly Publications
Enlighten GAN for Super-Resolution Images from Surveillance Car
Use of Improved Generative Adversarial Network (GAN) Under Insufficient Data
10.1007/978-3-031-48888-7_24
Scopus: 1
Adaptive Thresholding Method for Speckle Reduction of Echocardiographic Images
Fully automatic segmentation of LV from echocardiography images and calculation of ejection fraction using deep learning
Echocardiography image segmentation using semi‐automatic numerical optimisation method based on wavelet decomposition thresholding
A review of echocardiographic image segmentation techniques for left ventricular study
Scopus: 5
A review on echocardiographic image speckle reduction filters
Open AccessIoT Based Fall Detection System
Showing 1 to 8 of 15 publications