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Works (20)

Deep Learning-Based Estimation of Remaining Useful Life of Bearing Using Time–Frequency Spectrogram

Smart Innovation, Systems and Technologies
2025 | Book chapter
Part of ISBN: 9789819777167
Part of ISBN: 9789819777174
Part of ISSN: 2190-3018
Part of ISSN: 2190-3026
Contributors: R. Subha; Radhakrishnan Rekha; M. Selvadass
Source: Self-asserted source
Subha R

Real-time data-driven estimation of production for point bottom sealing and cutting machines using machine learning

Systems and Soft Computing
2025-12 | Journal article | Author
Part of ISSN: 2772-9419
Contributors: Subha R; Diana F.R.I. M; Selvadass M
Source: Self-asserted source
Subha R

Scalable bearing fault diagnosis using metaheuristic feature selection and machine learning for diverse operating conditions

Systems Science & Control Engineering
2025-12-31 | Journal article
Part of ISSN: 2164-2583
Contributors: B. R. Nayana; R. Subha; Rekha Radhakrishnan; P. Geethanjali
Source: Self-asserted source
Subha R

Machine learning based prediction of production using real time data of a point bottom sealing and cutting machine

Indonesian Journal of Electrical Engineering and Computer Science
2025-02-01 | Journal article | Author
Part of ISSN: 2502-4760
Part of ISSN: 2502-4752
Contributors: Diana F.R.I.M; Subha R; Selvadass M
Source: Self-asserted source
Subha R

Computational intelligence for early detection of infertility in women

Engineering Applications of Artificial Intelligence
2024 | Journal article
Contributors: Subha, R.; Nayana, B. R.; Radhakrishnan, Rekha; Sumalatha, P.
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Machine Learning‐Based Intelligent Power Systems

Automated Secure Computing for Next‐Generation Systems
2024-05-03 | Book chapter
Part of ISBN: 9781394213597
Part of ISBN: 9781394213948
Contributors: Kusumika Krori Dutta; S. Poornima; R. Subha; Lipika Deka; Archit Kamath
Source: Self-asserted source
Subha R
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A Particle Swarm Optimization-Based Maximum Power Point Tracking Scheme Employing Dynamic Inertia Weight Strategies

Lecture Notes in Electrical Engineering
2023 | Book chapter
Part of ISBN: 9789811949746
Part of ISBN: 9789811949753
Part of ISSN: 1876-1100
Part of ISSN: 1876-1119
Contributors: Suraj Joshi; R. Subha
Source: Self-asserted source
Subha R
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A Study on Prediction of Myocardial Infarction Using Computational Intelligence and Machine Learning Algorithms

Second International Conference on Trends in Electrical, Electronics, and Computer Engineering (TEECCON)
2023 | Conference paper
Contributors: R, S.; B R, N.; M, S.
Source: check_circle
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Identification and Validation of Prominent Features for Predicting Mortality in Heart Patients with Left Ventricular Dysfunction Using Machine Learning

Lecture Notes in Electrical Engineering
2023 | Book chapter
Part of ISBN: 9789811949746
Part of ISBN: 9789811949753
Part of ISSN: 1876-1100
Part of ISSN: 1876-1119
Contributors: R. Subha; Rekha Radhakrishnan; P. Sumalatha; B. R. Nayana
Source: Self-asserted source
Subha R
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An Efficient, Precise and User Friendly AI based Virtual Assistant

2023 International Conference on the Confluence of Advancements in Robotics, Vision and Interdisciplinary Technology Management (IC-RVITM)
2023-11-28 | Conference paper
Contributors: Aman Anand; R Subha; Sanjith Rajan; Nisha Bharathi; Aryan Kumar Srivastava
Source: Self-asserted source
Subha R
grade
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Smart Toll Collection: A GPS Based Automated System

2023 International Conference on the Confluence of Advancements in Robotics, Vision and Interdisciplinary Technology Management (IC-RVITM)
2023-11-28 | Conference paper
Contributors: R Subha; Jude Pinto; Navya Venugopal; Neelabru Pal; Swastik Singh
Source: Self-asserted source
Subha R
grade
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A Comparative Study of Firefly and BAT Algorithm-Based Maximum Power Point Tracking for Partially Shaded Photovoltaic Systems

Proceedings of International Conference on Data Science and Applications
2022 | Book chapter
Part of ISBN: 9789811651199
Part of ISBN: 9789811651205
Part of ISSN: 2367-3370
Part of ISSN: 2367-3389
Contributors: Rekha Radhakrishnan; P. Sumalatha; R. Subha
Source: Self-asserted source
Subha R
grade
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Hybrid Machine Learning Model Using Particle Swarm Optimization for Effectual Diagnosis of Alzheimer's Disease from Handwriting

2022 4th International Conference on Circuits, Control, Communication and Computing (I4C)
2022-12-21 | Conference paper
Contributors: Subha R; Nayana B R; M Selvadass
Source: Self-asserted source
Subha R
grade
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Performance Evaluation of Nature Inspired Algorithms for MPPT in Solar PV Systems with Partial Shading

2019 2nd International Conference on Power and Embedded Drive Control (ICPEDC)
2019-08 | Conference paper
Contributors: R Subha.; S Himavathi.
Source: Self-asserted source
Subha R
grade
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Active power control of a photovoltaic system without energy storage using neural network-based estimator and modified P&O algorithm

IET Generation, Transmission & Distribution
2017-10 | Journal article
Part of ISSN: 1751-8687
Contributors: Subha R.; Himavathi S.
Source: Self-asserted source
Subha R via Crossref Metadata Search

MPPT of PV systems under partial shaded conditions using flower pollination algorithm

2017 International Conference on Innovations in Electrical, Electronics, Instrumentation and Media Technology (ICEEIMT)
2017-02 | Conference paper
Part of ISBN: 9781509045273
Contributors: R. Subha; S. Himavathi
Source: Self-asserted source
Subha R via Crossref Metadata Search

A Performance Comparison of PSO based MPPT Algorithms for Various Partial Shading Conditions

Indian Journal of Science and Technology
2016 | Journal article
Part of ISSN: 0974-5645
Contributors: R. Subha; S. Himavathi
Source: Self-asserted source
Subha R via Crossref Metadata Search

Accelerated particle swarm optimization algorithm for maximum power point tracking in partially shaded PV systems

2016 3rd International Conference on Electrical Energy Systems, ICEES 2016
2016 | Conference paper
EID:

2-s2.0-84982156051

Contributors: Subha, R.; Himavathi, S.
Source: Self-asserted source
Subha R via Scopus - Elsevier
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Simplified accelerated particle swarm optimisation algorithm for efficient maximum power point tracking in partially shaded photovoltaic systems

IET Renewable Power Generation
2016 | Journal article
EID:

2-s2.0-85017447898

Contributors: Rajendran, S.; Srinivasan, H.
Source: Self-asserted source
Subha R via Scopus - Elsevier

Neural network based maximum power point tracking scheme for PV systems operating under partially shaded conditions

2014 International Conference on Advances in Green Energy, ICAGE 2014
2014 | Conference paper
EID:

2-s2.0-84949925973

Contributors: Subha, R.; Himavathi, S.
Source: Self-asserted source
Subha R via Scopus - Elsevier
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Peer review (1 review for 1 publication/grant)

Review activity for Engineering applications of artificial intelligence. (1)