OM PRAKASH YADAV

Employment

• PES Institute of Technology and Management Professor
  2020 - Present
• Sree Vidyanikethan Engineering College Associate professor
  2019 - 2020
• CSIT DURG FACULTY
  2006 - 2019

Education

• Chhattisgarh Swami Vivekanand Technical University PhD
  2014 - 2019
• GEC RAIPUR MTECH
  2004 - 2006
• MPCT GWALIOR BE
  1999 - 2003

Projects & Funding

Projects & funding information is unavailable.

Publications (11)

• Трансформаційні досягнення в сфері здоров’я серця плода із застосуванням BiLSTM мереж для класифікації фонокардіограми плода
  Известия высших учебных заведений. Радиоэлектроника 2024 DOI: 10.20535/S0021347024030026
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• Transformative Advancements in Fetal Cardiac Health on BiLSTM Networks for FPCG Classification
  Radioelectronics and Communications Systems 2024 DOI: 10.3103/S0735272724030026
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• Role of AI and AI-Derived Techniques in Brain and Behavior Computing
  Intelligent Interactive Multimedia Systems for e-Healthcare Applications 2022 DOI: 10.1007/978-981-16-6542-4_4
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• A novel method of preprocessing and modeling ECG signals with Lagrange–Chebyshev interpolating polynomials
  International Journal of System Assurance Engineering and Management 2021 DOI: 10.1007/s13198-021-01077-z
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• Electrocardiogram estimation using Lagrange interpolation
  Electronics Letters 2021 DOI: 10.1049/ell2.12041
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• FECG Extraction Using 1D Convolution Neural Network
  Algorithms for Intelligent Systems 2021 DOI: 10.1007/978-981-16-1295-4_34
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• Approximation of ECG Signals Using Chebyshev Nodes and Lagrange-interpolation
  American Journal of Biomedical Sciences 2019 DOI: 10.5099/aj190200054
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• Характеристики ЭКГ-сигнала с использованием полиномов Лагранжа-Чебышева
  Известия высших учебных заведений. Радиоэлектроника 2019 DOI: 10.20535/S0021347019020031
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• ECG Signal Characterization Using Lagrange-Chebyshev Polynomials
  Radioelectronics and Communications Systems 2019 DOI: 10.3103/s0735272719020031
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• Piecewise Modeling of ECG Signals Using Chebyshev Polynomials
  Advances in Intelligent Systems and Computing 2019 DOI: 10.1007/978-981-10-8055-5_26
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