Smitha N Pai

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Phone+91-9980250304
Emailsmitha.paimanipaledu
Websitehttps://manipal.edu/mit/department-faculty/faculty-list/smitha-n-pai0.html

MIT Campus, Manipal, Karnataka State. Pin 576104
India

h-index

Research activity per year

Education

PhD

Education

29 years

Research interests

Machine learning, Computer Vision, Sensor networks

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

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Dive into the research topics where Smitha N Pai is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

6 Similar Profiles

15 Conference contribution
5 Article
2 Chapter

Emotion Classification from Speech Waveform Using Machine Learning and Deep Learning Techniques
Pai, S. N., Punnath, S. & Balakrishnan, 2025, In: Current Applied Science and Technology. 25, 1, e0257184.
Research output: Contribution to journal › Article › peer-review

Open Access
Early stage black pepper leaf disease prediction based on transfer learning using ConvNets
Kini, A. S., Prema, K. V. & Pai, S. N., 12-2024, In: Scientific Reports. 14, 1, 1404.
Research output: Contribution to journal › Article › peer-review

Open Access
16 Citations (Scopus)
Human Activity Classification Using Supervised Machine Learning Algorithms
Akhila, Rao, V. S., Jayalakshmi, N. S., Pai, S. N. & Kolekar, S. V., 2024, Control and Information Sciences - Select Proceedings of CISCON 2022. George, V. I., Santhosh, K. V. & Lakshminarayanan, S. (eds.). Springer Science and Business Media Deutschland GmbH, p. 149-162 14 p. (Lecture Notes in Electrical Engineering; vol. 1140 LNEE).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Performance Comparison of Machine Learning Models for Handwritten Devanagari Numerals Classification
Gummaraju, A., Shenoy, A. K. B. & Pai, S. N., 2023, In: IEEE Access. 11, p. 133363-133371 9 p.
Research output: Contribution to journal › Article › peer-review

Open Access
4 Citations (Scopus)
Techniques of deep learning and image processing in plant leaf disease detection: a review
Kini, A. S., Reddy, P. K. V. & Pai, S. N., 06-2023, In: International Journal of Electrical and Computer Engineering. 13, 3, p. 3029-3040 12 p.
Research output: Contribution to journal › Article › peer-review

Open Access
12 Citations (Scopus)

Smitha N Pai

Personal profile

Education

Education

Research interests

Expertise related to UN Sustainable Development Goals

Fingerprint

Collaborations and top research areas from the last five years

Dive into details

Emotion Classification from Speech Waveform Using Machine Learning and Deep Learning Techniques

Early stage black pepper leaf disease prediction based on transfer learning using ConvNets

Human Activity Classification Using Supervised Machine Learning Algorithms

Performance Comparison of Machine Learning Models for Handwritten Devanagari Numerals Classification

Techniques of deep learning and image processing in plant leaf disease detection: a review

Smitha N Pai

Personal profile

Education

Education

Research interests

Expertise related to UN Sustainable Development Goals

Fingerprint

Collaborations and top research areas from the last five years

Research output

Emotion Classification from Speech Waveform Using Machine Learning and Deep Learning Techniques

Early stage black pepper leaf disease prediction based on transfer learning using ConvNets

Human Activity Classification Using Supervised Machine Learning Algorithms

Performance Comparison of Machine Learning Models for Handwritten Devanagari Numerals Classification

Techniques of deep learning and image processing in plant leaf disease detection: a review