Using deep/machine learning to identify patterns and detecting misinformation for pandemics in the post-covid-19 era

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Original language	English
Title of host publication	Machine Learning in Medical Imaging and Computer Vision
Publisher	Institution of Engineering and Technology
Pages	313-333
Number of pages	21
ISBN (Electronic)	9781839535949
ISBN (Print)	9781839535932
Publication status	Published - 1 Jan 2024
Externally published	Yes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

@inbook{6c6a21a53be64bcf9007eb3cc80019e1,

title = "Using deep/machine learning to identify patterns and detecting misinformation for pandemics in the post-covid-19 era",

author = "Javaria Naeem and G{\"u}l, \{{\"O}mer Melih\}",

year = "2024",

month = jan,

day = "1",

language = "English",

isbn = "9781839535932",

pages = "313--333",

booktitle = "Machine Learning in Medical Imaging and Computer Vision",

publisher = "Institution of Engineering and Technology",

address = "United Kingdom",

}

TY - CHAP

T1 - Using deep/machine learning to identify patterns and detecting misinformation for pandemics in the post-covid-19 era

AU - Naeem, Javaria

AU - Gül, Ömer Melih

PY - 2024/1/1

Y1 - 2024/1/1

UR - https://www.scopus.com/pages/publications/85193534495

M3 - Chapter

AN - SCOPUS:85193534495

SN - 9781839535932

SP - 313

EP - 333

BT - Machine Learning in Medical Imaging and Computer Vision

PB - Institution of Engineering and Technology

ER -