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Lung cancer detection method based on optimised cnn model using pso and aco algorithm / Tejasvini Gurung.

By: Gurung, Tejasvini

Material type: Text

TextPublisher: Hamirpur : National Institute of Technology, 2024Description: ix, 56pDDC classification: 621.38 Dissertation note: Master of Technology, Department of Electronics and Communication Engineering, National Institute of Technology Hamirpur, Himachal Pradesh, India - 177005. 2024 Guide / Supervisor: Kumar, Aman

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Item type	Current location	Call number	Status	Date due	Barcode
Thesis or Dissertation	Central Library	621.38 GUR (Browse shelf)	Available		TH-2408

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Previous	621.38 GUP Psychological stress detection using wearable sensors /	621.38 GUP Design and optimization of matamaterial-based solar cell absorbers for enhanced energy harvesting /	621.38 GUR Investigation of double gate fdsoi mosfet for analog applications	621.38 GUR Lung cancer detection method based on optimised cnn model using pso and aco algorithm /	621.38 HAF Enhancement of wsn lifetime through new clustering algorithm	621.38 HAR Design and analysis of reconfigurable microstrip bandpass filter for WIMAX applications.	621.38 HUR Performance evaluation and analysis of epon for radio over fiber optical networks	Next

Master of Technology, Department of Electronics and Communication Engineering, National Institute of Technology Hamirpur, Himachal Pradesh, India - 177005. 2024

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Lung cancer detection method based on optimised cnn model using pso and aco algorithm / Tejasvini Gurung.

By: Gurung, Tejasvini

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