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  2. Details for: Design, Development and Validation of Multi Sensor Fusion Methodologies
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Design, Development and Validation of Multi Sensor Fusion Methodologies

By:
  • Narkhede, Parag Suresh
Contributor(s):
  • Walambe, Rahee (Research Guide)
  • Kotecha, Ketan Co-Supervisor
Material type: TextTextPublication details: Pune. Symbiosis International ( Deemed University). 2023.Description: xi, 125 pSubject(s):
  • Attitude Estimation
  • Complementary Filter
  • Convolutional Neural Network
  • Data Cleaning
  • Data Fusion
  • Gas Detection
  • Inertial Measurement Unit
  • Information Fusion
  • Kalman Filter
  • Landmine Detection
  • Long short-term memory
  • Particle swarm optimization
  • Sensor Fusion
  • Thermal Imaging
DDC classification:
  • NAR
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  • Holdings ( 1 )
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Item type Current library Collection Call number Status Date due Barcode
Thesis (Phd) Thesis (Phd) Symbiosis International University Central Library Dissertation NAR (Browse shelf(Opens below)) Not For Loan SIU-TH-458
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NAI The Politics of Microfinance in India: A Critical Analysis with Special Reference to Maharashtra NAN A Critical Appraisal of Nanotechnology Patenting in India NAP Deep Convolution Neural Network Based Liver Cancer Detection NAR Design, Development and Validation of Multi Sensor Fusion Methodologies NAR Application of Cohort Intelligence Algoritham for Goal Programming problems from Manufacturing Management Domain NAR Design Development and Analysis of Hollow Compact Micro Lattice Heat Exchanger NAT Study of Human Resource Practices in Small Enterprises

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