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Dr Nagamma Patil

vidwan id: 54572
Female

Assistant Professor, Information Technology
National Institute of Technology Karnataka

Expertise

  • Computer Science Artificial Intelligence

Publications

Total Articles 21
Books 0
Proceedings 0

Publications

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Scopus

Citations 471
h-index 9

CrossRef

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Citations 296
h-index 7
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Bio

Data Mining; Soft Computing; Applying Data Mining; Techniques to Biological Data; Big Data Analytics; Machine Learning

Personal Details

  • Female
  • Assistant Professor , National Institute of Technology Karnataka
  • P. O. Srinivasnagar, Mangalore
Ph.D
Other Institute 2010
Assistant Professor Dec 2013 – Present
National Institute of Technology Karnataka | Information Technology

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Organisations (261+)

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Co-Authors (6)

Durga

Dr Durga Toshniwal

Indian Institute of Technology Roorkee

C. D.

Dr C. D. Jaidhar

National Institute of Technology Karnataka

Sanjay

Dr Sanjay Bankapur

National Institute of Technology, Puducherry

Sunil

Dr Sunil C K

Indian Institute of Information Technology, Dharwad

Mohammed Rabius

Dr Mohammed Rabius Sunny

Indian Institute of Technology Kharagpur

Unnikrishnan

Dr Unnikrishnan Cheramangalath

Indian Institute of Technology, Palakkad

Scholarly Work

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Scholarly Publications

Optimizing Machine Learning Operators and Models for Specific Hardware Using Apache-TVM

Open Access
Conference Paper
Authors: Madathil K.T.;Dugar A.;Patil N.;Cheramangalath U.

Systematic study on deep learning-based plant disease detection or classification

Open Access
Article

Tomato plant disease classification using Multilevel Feature Fusion with adaptive channel spatial and pixel attention mechanism

Open Access
Article

An Effective Multi-Label Protein Sub-Chloroplast Localization Prediction by Skipped-Grams of Evolutionary Profiles Using Deep Neural Network

Open Access
Article

Cardamom Plant Disease Detection Approach Using EfficientNetV2

Open Access
Article

Binary class and multi-class plant disease detection using ensemble deep learning-based approach

Open Access
Article

An Enhanced Protein Fold Recognition for Low Similarity Datasets Using Convolutional and Skip-Gram Features with Deep Neural Network

Open Access
Article

Enhanced protein structural class prediction using effective feature modeling and ensemble of classifiers

Open Access
Article