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

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