Dr Akshay Dhande
Assistant Professor
| Department of Electronics and Telecommunication Engineering
P. R. POTE PATIL COLLEGE OF ENGINEERING AND MANAGEMENT, AMRAVATI
Maharashtra
Expertise:
Electrical and Electronic Engineering
7
Publications
0
Projects
21
Scopus Citations
18
CrossRef
15 Years 3 Months Total Experience
Scopus
21
Citations
3
h-index
CrossRef
18
Citations
3
h-index
Google Scholar
Loading Scholar statistics...
Professional Recognition
Best Teacher Award 2013
2013
P. R. Pote Patil College of Engg. and Mang. Amravati
Best Paper Award
2022
4 th IEEE INTERNATIONAL CONFERENCE on Emerging Smart Computing & Informatics (IEEE ESCI-2022)
Best Project Award 2011
2011
S. S. G. M. C. E. Shegoan
Best Project (Mentor
2016
P. R. Pote College of Engineering and Management Amravati
Community & Membership
Board of Study
MemberAnti Ragging Committe
MemberIndian Society for Technical Education (ISTE)
LM123824The Institution of Electronics and Telecommunication Engineers (IETE)
123Personal Details
Doctor of Philosophy
2024
Priyadarshini Engineering College
Master of Engineering
2012
N/A
Bachelor of Engineering
2010
N/A
Assistant Professor
Nov 2016 – Present
P. R. POTE PATIL COLLEGE OF ENGINEERING AND MANAGEMENT, AMRAVATI
| Department of Electronics and Telecommunication Engineering
Assistant Professor
Jun 2011 – Oct 2016
P. R. POTE PATIL COLLEGE OF ENGINEERING AND MANAGEMENT, AMRAVATI
Engineering and Technology
Scholarly Work
No Data Found
There is currently nothing to display here.
No Data Found
There is currently nothing to display here.
COMPUTATIONAL APPROACHES FOR THE ANALYSIS OF CROP MONITORING USING SATELLITE IMAGE
Dr. A. P. Dhande
-
Application No. :
202211008478 A
Filed :
17-02-2022
Published :
22-04-2022
Published
Scholarly Publications
Optimizing content-based image retrieval: A comparative analysis of classifier ensemble approaches
Design of a High-Efficiency Temporal Engine for Real-Time Spatial Satellite Image Classification Using Augmented Incremental Transfer Learning for Crop Analysis
Empirical Study of Far-Field Crop Quality Examination Models: A Numerical Outlook
Design of a highly efficient crop damage detection ensemble learning model using deep convolutional networks
Experimental Investigation of Crop-Disease Detection and Crop-Yield Analysis Systems: A Numerical Outlook
10.1063/5.0162893
Scopus: 1