Title : ecg based classification for arrhythmia detection using deep learning generative adversarial networks gan method

Type of Material: Thesis
Title: ecg based classification for arrhythmia detection using deep learning generative adversarial networks gan method
Researcher: Shaik Janbhasha
Guide: S Naga Kishore Bhavanam
Department: Department of Computer Science and Engineering
Publisher: Acharya Nagarjuna University, Guntur
Place: Guntur
Year: 2024
Language: English
Subject: Computer Science
Computer Science Interdisciplinary Applications
Engineering and Technology
Computer Science and Applications
Engineering and Technology
Dissertation/Thesis Note: PhD; Department of Computer Science and Engineering, Acharya Nagarjuna University, Guntur, Guntur; 2024
Fulltext: Shodhganga

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040__|aNGJN_522510|dIN-AhILN
041__|aeng
100__|aShaik Janbhasha|eResearcher
110__|aDepartment of Computer Science and Engineering|bAcharya Nagarjuna University, Guntur|dGuntur|ein|0U-0003
245__|aecg based classification for arrhythmia detection using deep learning generative adversarial networks gan method
260__|aGuntur|bAcharya Nagarjuna University, Guntur|c2024
300__|dCD
502__|cDepartment of Computer Science and Engineering, Acharya Nagarjuna University, Guntur, Guntur|d2024|bPhD
518__|d2024|oDate of Award
518__|oDate of Registration|d2021
518__|oDate of Completion|d2024
520__|anewline
650__|aComputer Science and Applications|2UGC
650__|2AIU|aEngineering and Technology
653__|aComputer Science
653__|aComputer Science Interdisciplinary Applications
653__|aEngineering and Technology
700__|eGuide|aS Naga Kishore Bhavanam
856__|uhttp://shodhganga.inflibnet.ac.in/handle/10603/587700|yShodhganga
905__|afromsg

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