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J. N. Chandra Sekhar

Observed names: Chandra Sekhar J N, Chandra Sekhar J. N, Chandra Sekhar J. N., Chandra Sekhar J.N, Dr. J. N. Chandra Sekhar, Dr. J.N. Chandra Sekhar, J N Chandra Sekhar, J N Chandra sekhar, J.N. Chandra Sekhar, J.N.Chandra Sekhar, Sekhar, J., Sekhar, J. N. Chandra
ORCID: 0000-0003-2767-2467
Observed ORCID: 0000-0003-2767-2467
OpenAlex ID: A5013482759
Prediction of Battery Remaining Useful Life Using Machine Learning Algorithms
2023 · J. N. Chandra Sekhar, Bullarao Domathoti, et al. · Sustainability · 66
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An Overview of Remaining Useful Life Prediction of Battery Using Deep Learning and Ensemble Learning Algorithms on Data‐Dependent Models
2025 · Sravanthi C. L., Chandra Sekhar J. N., et al. · International Transactions on Electrical Energy Systems · 23
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Deep Learning based Multilingual Speech Synthesis using Multi Feature Fusion Methods
2023 · Praveena Nuthakki, Madhavi Katamaneni, et al. · ACM Transactions on Asian and Low-Resource Language Information Processing · 17
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Enhanced FOPID Controller Based Cascaded Inverter for Grid-Connected Photovoltaic System
2024 · W.V. Jahnavi, J.N. Chandra Sekhar · Electric Power Components and Systems · 12
Speed Control of Induction Motor by Using Intelligence Techniques
2015 · S. Riaz Ahamed, J. N. Chandra Sekhar, et al. · 11
Modeling and Simulation of IM Drive Performance Using PI, ANN and FLC
2013 · D. Nikhitha, J. N. Chandra Sekhar · International Conference on IT Convergence and Security (ICITCS) · 11
A comprehensive review on application of ai algorithms for GRID connected Solar Photovoltaic Systems
2024 · W.V. Jahnavi, J.N.Chandra Sekhar · ITEGAM- Journal of Engineering and Technology for Industrial Applications (ITEGAM-JETIA) · 9
Predicting Remaining Useful Life of Lithium-Ion Batteries for Electric Vehicles Using Machine Learning Regression Models
2025 · Sravanthi C L, J N Chandra sekhar · ITEGAM- Journal of Engineering and Technology for Industrial Applications (ITEGAM-JETIA) · 8
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Direct Torque Control of Induction Motor Using Enhanced Firefly Algorithm — ANFIS
2017 · J. N. Chandra Sekhar, G. V. Marutheswar · Journal of Circuits Systems and Computers · 8
Advances in Nano Metal Oxides and Nanotechnology for Lithium-Ion Batteries in EV: A Comprehensive Review
2025 · Sravanthi C L, Chandra Sekhar J N · Journal of Modern Technology · 6
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Classification and Comparative Evaluation of Text and Emoji‐Based Tweets With Deep Neural Network Models
2024 · J. N. Chandra Sekhar, M. Kiran Mayee, et al. · Journal of Electrical and Computer Engineering · 6
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Development in intelligent autonomous agents for the high-level cognitive functions like reasoning, planning, learning and abstraction
2023 · N. Neelima, J. N. Chandra Sekhar, et al. · Journal of Interdisciplinary Mathematics · 5
Data Augmentation based Cross-Lingual Multi-Speaker TTS using DL with Sentiment Analysis
2023 · Lalitha B., Madhurima V, et al. · ACM Transactions on Asian and Low-Resource Language Information Processing · 4
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Comparative Analysis of Flying Capacitor and H-Bridge Multilevel Matrix Converters for DFIG Based Wind Energy Conversion System
2019 · G. Pandu Ranga Reddy, J. N. Chandra Sekhar, et al. · Lecture notes in electrical engineering · 4
Microscopical Observations on Cissus Vitiginea L.
2015 · Pratap, G. Penchala, Sudarsanam, G., et al. · International Journal of Ayurveda and Pharma Research · 4
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Ensemble Learning-Based Battery Health Estimation: A Comparative Study of RUL, SOC, and SOH Prediction Using Machine Learning Models
2026 · Sravanthi C.L, Chandra Sekhar J.N · International Research Journal of Multidisciplinary Technovation · 3
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Enhanced Torque Estimation Based on a Cognitive Training Model for Robust PMSM in EV Applications
2024 · Sudeep Gaduputi, J.N.Chandra Sekhar · ITEGAM- Journal of Engineering and Technology for Industrial Applications (ITEGAM-JETIA) · 3
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Limitation of Fault Currents by Positioning of Superconducting Fault Current Limiter in AC and DC Microgrid
2015 · K. Sreedhar Kumar, J N Chandra Sekhar · International Journal of Advanced Research in Electrical Electronics and Instrumentation Engineering · 2
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Enhanced physical and electrochemical properties of selenium-doped zinc cobalt oxide for hybrid supercapacitors
2026 · Obula Reddy Ankinapalli, J.N.Chandra Sekhar, et al. · Journal of Alloys and Compounds · 1
Supervised learning for fast inverse motor control mapping: a comparative study on SRM and BLDC motors
2025 · S. Sudheer Kumar Reddy, J. N. Chandra Sekhar · International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering · 1
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Implementation of DTC in Induction Motor Using Anfis Pi Controller
2018 · Prasanna, K. Lakshmi, Sekhar, J. N. Chandra, et al. · Zenodo (CERN European Organization for Nuclear Research) · 1
Remaining Useful Life Estimation of Lithium-Ion Batteries Using Machine Learning Algorithms
2026 · Sravanthi C L, J N Chandra Sekhar · IEEE International Conference on Renewable Energy and Sustainable E-Mobility (RESEM)
An electro-optic sequence detector to detect 1010 bits with a lithium niobate-based Mach-Zehnder interferometer
2026 · Pratheethi Blessina Nandyala, Chandra Sekhar J. N, et al. · Journal of Optics
Boosting trifunctional electrocatalytic activity of Zn2.64Co0.15V2O11H6 with graphitic carbon nitride for efficient hydrogen evolution and zinc-air batteries
2026 · Obula Reddy Ankinapalli, J.N.Chandra Sekhar, et al. · Journal of Energy Storage
Optimal Control Strategies of BLDC Motor in Electric Vehicle Applications Using Machine Learning Algorithms
2026 · S Sudheer Kumar Reddy, J N Chandra Sekhar · Journal of Emerging Technologies and Innovative Research
Works count: 35
Citation count: 205
H-index: 8
I10-index: 6
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