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Antlion optimizaed framework for neuromorphic computing

By: Raj, Rohini

Material type: Text

TextPublisher: Hamirpur : National Institute of Technology, 2022Description: xvii, 44pDDC classification: 621.38 Dissertation note: Master of Technology, Department of Electronics and Communication Engineering, National Institute of Technology Hamirpur, Himachal Pradesh, India - 177005. 2022 Guide / Supervisor: Chandel, Rajeevan

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Item type	Current location	Call number	Status	Date due	Barcode
Thesis or Dissertation	Central Library On Display	621.38 RAJ (Browse shelf)	Available		TH-1529
Thesis or Dissertation	Electronics and Communication Engineering (Departmental Library) On Display	621.38 RAJ (Browse shelf)	Available		EC-DR-394

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Previous	621.38 RAI Comparative analysis of low power sram cells	621.38 RAJ Front-end amplifier for bio-medical signal acquisition	621.38 RAJ Deep reinforcement learning based dynamic multichannel access for heterogeneous wireless networks	621.38 RAJ Antlion optimizaed framework for neuromorphic computing	621.38 RAJ Performance analysis of gate- all around field effect	621.38 RAM Implementation of range measurement of a moving object with single moving camera	621.38 RAM Design and implementation of network-on-chip based interconnection network for neuromorphic systems	Next

Master of Technology, Department of Electronics and Communication Engineering, National Institute of Technology Hamirpur, Himachal Pradesh, India - 177005. 2022

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Antlion optimizaed framework for neuromorphic computing

By: Raj, Rohini

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