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Prof Neelam Turk

vidwan id: 269372
Female

Professor, Department of Electronics Engineering
J.C. Bose University of Science and Technology

Expertise

  • Electrical and Electronic Engineering

Publications

Total Articles 20
Books 0
Proceedings 0

Publications

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Scopus

Citations 28
h-index 3

CrossRef

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Citations 3
h-index 1
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Bio

Signal Processing , MCSA, Wireless Communiaction , Communication System, IoT

Personal Details

  • Female
  • Professor , J.C. Bose University of Science and Technology
  • JC Bose University of Science and Technology, YMCA Faridabad
PhD
Other Institute 2011
Professor Jan 2008 – Present
J.C. Bose University of Science and Technology | Department of Electronics Engineering
Professor Jan 2008 – Jan 2008
J.C. Bose University of Science and Technology | Department of Electronics Engineering

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Organisations (196+)

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Ashima

Dr Ashima Sharma

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Co-Authors (5)

Dipali

Dr Dipali Bansal

Graphic Era University, Dehradun

Navdeep

Prof Navdeep Kaur

Sri Guru Granth Sahib World University, Fatehgarh Sahib

Ratna

Prof Ratna Dahiya

National Institute of Technology Kurukshetra

Sangeeta

Dr Sangeeta Kamboj

Thapar Institute of Engineering & Technology

Sonam

Dr Sonam Khera

J.C. Bose University of Science and Technology

Scholarly Work

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Scholarly Publications

Rolling Element Bearing Fault Diagnosis using Empirical Mode Decomposition and Hjorth Parameters

Open Access
conference-paper

A practical approach to energy consumption in wireless sensor networks

Open Access
Article

Health monitoring of induction motors through embedded systems-simulation of broker rotor bar fault and abnormal gear teeth fault

Open Access
Article

Optimal Statistical Feature Subset Selection for Bearing Fault Detection and Severity Estimation

Open Access
journal-article

Eccentricity fault diagnosis in BLDC motor using finite element and frequency research

Open Access
journal-article

ASR system for isolated words using ANN with back propagation and fuzzy based DWT

Open Access
Article

Condition monitoring of induction motors through simulation of bearing fault and air gap eccentricity fault

Open Access
Article

Classification and detection of faults in induction motor using dwt with deep learning methods under the time-varying and constant load conditions

Open Access
journal-article
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