Detection of Autism in Infant via EEG Using Optimization Algorithms
(Sprache: Englisch)
This book deals with the detection of Autism in Infants via EEG.In chapter 1, the introduction, scope, and objectives of the research work and also the background of ASD and EEG are discussed. The remaining thesis is arranged as:Chapter 2 categorizes and...
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This book deals with the detection of Autism in Infants via EEG.In chapter 1, the introduction, scope, and objectives of the research work and also the background of ASD and EEG are discussed. The remaining thesis is arranged as:Chapter 2 categorizes and briefly reviews the significant background of ASD and EEG and also reviews its optimization approaches and machine learning techniques.Chapter 3 presents the recognition of autism in kids by means of electroencephalogram behavior utilizing a PSO-centered ANFIS classifier.Chapter 4 presents the detection of autism in children by the EEG behavior using hybrid bat algorithm based ANFIS classifierChapter 5 illustrates the result section of both the proposed techniques with their corresponding performance evaluation. This section as well includes the comparison chart and analysis of the proposed technique with existing conventional methods. The chart illustrated the proposed work's performance. Chapter 6 Perform the conclusion task and it sufficiently highlights the prospects and future scope for further investigation.
Autoren-Porträt von Satheesh Kumar N, MAHIL J
N, Satheesh KumarDr.N. Satheesh Kumar earned his bachelor's degree in engineering from Bharathiar University, Coimbatore in 2002, his master's degree in engineering from Anna University Chennai, in 2004, and his Ph.D. in engineering from Anna University, Chennai in 2019. He has 18 years of teaching experience and is currently working as a Professor in the Depart
Bibliographische Angaben
- Autoren: Satheesh Kumar N , MAHIL J
- 2021, 208 Seiten, Maße: 22 cm, Kartoniert (TB), Englisch
- Verlag: LAP Lambert Academic Publishing
- ISBN-10: 6203854905
- ISBN-13: 9786203854909
Sprache:
Englisch
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