Chandra Sekhar K
VIDWAN ID: 455015

Dr Chandra Sekhar K

Male Doctor of Philosophy
Associate Professor
Aditya University (2024)
Andhra Pradesh
Expertise: Computer Science Artificial Intelligence
39 Publications
0 Projects
192 Scopus Citations
161 CrossRef
1 Year Total Experience
Publications
39 Total
Articles
25
Chapters
5
Proceedings
9
Activity

No publication activity to display.

Scopus Scopus
192 Citations
6 h-index
CrossRef CrossRef
161 Citations
7 h-index
Google Scholar Google Scholar

Loading Scholar statistics...

Professional Recognition

WIPRO Certified Faculty - Wipro Talent Next
2020
WIPRO
Best Teacher Award
2019
KL University

Community & Membership

NAAC
ASSOCIATE PROFESSOR
Jan 2023
NBA - Criteria 1 and 2
ASSOCIATE PROFESSOR
Jan 2021
ISTE
Life Member
Jan 2021
The IRED
Life Member
Jan 2019
SDIWC
Life Member
Jan 2019
CSTA
Life Member
Jan 2014
IAENG
Life Member
Jan 2013
IACSIT
Life Member
Jan 2013

Personal Details

Doctor of Philosophy
2021
Institute of Cytology and Preventive Oncology
Master of Engineering
2011
KING GEORGE MEDICAL UNIVERSITY
Associate Professor
Nov 2024 – —
Aditya University
Engineering and Technology
Computer Science Artificial Intelligence

Related Profiles

Scholarly Work

No Data Found

There is currently nothing to display here.

No Data Found

There is currently nothing to display here.

A Method for A Fraud Detection in A Bank Transaction with A Wrapper Model and A Harris Water Optimization- Based Deep Recurrent Neural Network

Mohan Kumar
V V Krishna Reddy
K Raja Sekhar
- Patent No. : 2021106075 Filed : 20-08-2021
Published : 10-11-2021 Granted

ATM CARD AND FINGERPRINT BASED AUTHENTICATION SYSTEM FOR ONLINE BANKING USING SMARTPHONE

Chandra Sekhar Kolli
V V Krishna Reddy
Dr.K.Chokkanathan
Binu Dennis
Rajakumar B. R.
- Application No. : 11690 Filed : 07-04-2020
Published : 05-06-2020 Published

Scholarly Publications

Efficient Development of Supervised Learning Algorithm for kidney Stone Prediction

Journal Article
Year: 2022. Pages: 1373-1379 .
Authors: Kolli, Chandra Sekhar; Raghunath, Mutkule Prasad; Meenakshi, S.; Maheshwari, K.; Britto, Christopher Francis; Kushwaha, Sumit

Machine Learning based Predictive Analysis and Algorithm for Analysis Severity of Breast Cancer

Journal Article
Year: 2023. Pages: 83-97 .
Authors: B. Radha; Chandra Sekhar Kolli; K R Prasanna Kumar; Perumalraja Rengaraju; S. Kamalesh; Ahmed Mateen Buttar

Underwater Image Quality Enhancement using Multiscale Image Fusion

Conference Paper
Year: 2023. Pages: 1064-1070 .
Authors: Kolli, C.S.; Faiz Ahamed, S.; Kumar, G.A.K.S.R.; Maddila, S.K.; Komali, Y.; Rao Bheesetty, S.

YOLO Algorithm for Helmet Detection in Industries for Safety Purpose

Conference Paper
Year: 2022. Pages: 225-230 .
Authors: Dr. Chandra Sekhar Kolli; N.K Anushkannan; Vijaya R. Kumbhar; Suresh Kumar Maddila; Chandra Sekhar Kolli; B Vidhya; R. G Vidhya

An Efficient and Robust Deep Learning Approach to Predict Air Pollution by Employing Long Short-Term Memory

Conference Paper
Year: 2022. Pages: 423-428 .
Authors: Srinivas Nagineni; Chandra Sekhar Kolli; Hemachandra Gudimindla; Nayani Sateesh; Chockalingam Alagappan; Urmila R. Pol; Siva Ramkumar M

Modelling a Dense N Model for Anomaly Prediction in IoT Environment

Conference Paper
Year: 2022. Pages: 410-415 .
Authors: Mohan Kumar Chandol; M Kameswara Rao; Chandra Sekhar Kolli

Deep Ensemble Model for Spam Classification in Twitter via Sentiment Extraction: Bio-Inspiration-Based Classification Model

Journal Article
International Journal of Image and Graphics. Year: 2022. Volume: 23 , Issue: 04 , Pages: 2350034 .
Authors: Dr. Chandra Sekhar Kolli

An effective optimization enabled deep learning based Malicious behaviour detection in cloud computing

Journal Article
International Journal of Intelligent Robotics and Applications. Year: 2022. Volume: 7 , Issue: 3 , Pages: 575-588 .
Authors: Sukhada Bhingarkar; S. Thanga Revathi; Chandra Sekhar Kolli; Hiren K. Mewada
Showing 1 to 8 of 39 publications