Smitha N Pai

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Dept. of Computer Science and Engineering, Manipal Institute of Technology, Manipal University, Manipal, Karnataka State. Pin 576104
India

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Research activity per year

Education

PhD

Education

29 years

Research interests

Machine learning, Computer Vision, Sensor networks

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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.

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15 Conference contribution
6 Article
2 Chapter
1 Conference article

Comprehensive Analysis of Fruit Variety Classification: Techniques, Challenges, and Application
Sawant, K., Shenoy, A. K. B., Pai, S. & Shirwaikar, R. D., 2025, In: Procedia Computer Science. 258, p. 223-232 10 p.
Research output: Contribution to journal › Conference article › peer-review

Open Access
2 Citations (Scopus)
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
Real-Time Disease Identification of Banana Plants Using Neural Network Models
Rivankar, R. R., Pai, S. N., Rhisheekesan, A., Deekshitha, Prakash, L., Sunil, V. G. & Joseph, A. P., 08-2025, In: IAENG International Journal of Computer Science. 52, 8, p. 2809-2835 27 p.
Research output: Contribution to journal › Article › peer-review
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
34 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

Smitha N Pai

Personal profile

Education

Education

Research interests

Fingerprint

Collaborations and top research areas from the last five years

Dive into details

Comprehensive Analysis of Fruit Variety Classification: Techniques, Challenges, and Application

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

Real-Time Disease Identification of Banana Plants Using Neural Network Models

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

Human Activity Classification Using Supervised Machine Learning Algorithms

Smitha N Pai

Personal profile

Education

Education

Research interests

Fingerprint

Collaborations and top research areas from the last five years

Research output

Comprehensive Analysis of Fruit Variety Classification: Techniques, Challenges, and Application

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

Real-Time Disease Identification of Banana Plants Using Neural Network Models

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

Human Activity Classification Using Supervised Machine Learning Algorithms