Dhananjay Eknath Upasani
VIDWAN ID: 350136

Dr Dhananjay Eknath Upasani

Male Doctor of Philosophy
Professor | MIT School of Engineering & Science
MIT Art, Design and Technology University, Pune
Maharashtra
Expertise: Telecommunications
8 Publications
0 Projects
13 Scopus Citations
5 CrossRef
7 Years 3 Months Total Experience
Publications
8 Total
Articles
5
Proceedings
3
Activity

No publication activity to display.

Scopus Scopus
13 Citations
2 h-index
CrossRef CrossRef
5 Citations
2 h-index
Google Scholar Google Scholar

Loading Scholar statistics...

Professional Recognition

No Data Found

There is currently nothing to display here.

Community & Membership

No Data Found

There is currently nothing to display here.

No Data Found

There is currently nothing to display here.

Personal Details

Doctor of Philosophy
N/A
Professor
Jun 2019 – Present
MIT Art, Design and Technology University, Pune | MIT School of Engineering & Science
Engineering and Technology
Telecommunications

Related Profiles

Scholarly Work

No Data Found

There is currently nothing to display here.

No Data Found

There is currently nothing to display here.

No Data Found

There is currently nothing to display here.

Scholarly Publications

Potato Disease Detection Using Transfer Learning: An Ensemble Technique Approach

Journal Article
Authors: Dr. AJAY KUMAR KUSHWAHA

A Knowledge Based Framework for Cardiovascular Disease Prediction

Open Access
Journal Article
Authors: Marathe, A.; Shete, V.; Upasani, D.

Machine Learning Approaches for Detection of Cardiovascular Disease

Conference Paper
Year: 2023. Pages: 1-5 .
Authors: Marathe, A.; Shete, V.; Upasani, D.

Review and Trends on Hand Gesture Recognition of Sign Language based on Deep Learning Approaches

Conference Paper
Year: 2023. Pages: 182-188 .
Authors: Snehal Abhijeet Gaikwad; Dhananjay Upasani; Virendra Shete

Scopus Q3 View of “Analysis Of Om (AUM) Chanting Using Machine Learning”

Journal Article
Year: 2024.
Authors: Dr Dhananjay Upasani

EEG Signal Processing for the Identification of Sleeping Disorder Using Hybrid Deep Learning with Ensemble Machine Learning Classifier

Journal Article

Analysis of Critical Diseases from ECG Signal Using Hybrid CNN and LSTM

Journal Article
Authors: Chaudhari, L.; Upasani, D.E.; Gawhale, S.; Khankal, D.V.; Kumar, J.R.R.; Upadhye, N.A.

Analysis and examination of heart distress from ecg signal using artificial intelligence

Open Access
Conference Paper
E3S Web of Conferences. Year: 2020. Volume: 170 , Pages: 03008 .
Authors: Chaudhari, L.B.; Upasani, D.E.