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Ashwitha K

vidwan id: 536296
Female

Assistant Professor (Grade-I), Department of Master of Computer Applications
NITTE Institute of Technology, Bangalore

Expertise

  • Computer Science Artificial Intelligence

Publications

Total Articles 9
Books 0
Proceedings 0

Publications

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Scopus

Citations 6
h-index 1

CrossRef

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Citations 8
h-index 1
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Professional Recognition

2024

Best Paper award

ICDSIS-2024 conference

Community & Membership

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IEEE Student

2022
Student

Bio

Data Analysis,Machine learning

Personal Details

  • Female
  • Assistant Professor (Grade-I) , NITTE Institute of Technology, Bangalore
  • Kodigehalli, Bengaluru, Karnataka, India
MCA
St.Joseph College of Engineering and Technology 2013
Assistant Professor (Grade-I) Oct 2021 – Present
NITTE Institute of Technology, Bangalore | Department of Master of Computer Applications
Assistant Professor (Grade-I) Sep 2020 – Jun 2023
NITTE Institute of Technology, Bangalore

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Co-Authors (5)

Arhath

Mr Arhath Kumar

N M A M Institute of Technology, NITTE

Ashwitha

Ashwitha K

BMS Institute of Technology and Management

Balachana

Mr Balachana Rao

N M A M Institute of Technology, NITTE

Preethi

Ms Preethi Salian K

N M A M Institute of Technology, NITTE

Sowmya

Ms Sowmya K

NITTE Institute of Technology, Bangalore

Scholarly Work

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AI-Based Wind Turbine Blade Fault Analysis Device -Design Patent

Ashwitha K
Engineering and Technology Patent No. : 6357992 Filed : 20-03-2024
Published : 17-04-2024 Granted

Innovative Iot Powered Home Automation System

Ashwitha K
Engineering and Technology Patent No. : 202341081602 Filed : 07-09-2023
Published : 20-10-2023 Published

IoT Enabled Soil Classification for sustainable Agriculture

Ashwitha K
- Patent No. : 202341066032 Filed : 07-09-2023
Published : 20-10-2023 Published

Copyright - Revolutionizing Bharathnatyam :Detection and Prediction of Bharathnatyam Mudras using Artificial Intelligence during Dance Movements

Ashwitha K
Engineering and Technology Patent No. : L-135701/2023 Filed : 01-02-2023
Published : 11-08-2023 Granted

Scholarly Publications

Performance Analysis of CNN Models Using MR Images of Pituitary Tumour

Open Access
book-chapter
Authors: