top

  Info

  • Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.

  Info

  • Utilizzare questo link per rimuovere la selezione effettuata.
Data Analysis for Neurodegenerative Disorders [[electronic resource] /] / edited by Deepika Koundal, Deepak Kumar Jain, Yanhui Guo, Amira S. Ashour, Atef Zaguia
Data Analysis for Neurodegenerative Disorders [[electronic resource] /] / edited by Deepika Koundal, Deepak Kumar Jain, Yanhui Guo, Amira S. Ashour, Atef Zaguia
Autore Koundal Deepika
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (267 pages)
Disciplina 616.800285
Altri autori (Persone) JainDeepak Kumar
GuoYanhui
AshourAmira S
ZaguiaAtef
Collana Cognitive Technologies
Soggetto topico Medical informatics
Image processing—Digital techniques
Computer vision
Image processing
Machine learning
Artificial intelligence—Data processing
Health Informatics
Computer Imaging, Vision, Pattern Recognition and Graphics
Image Processing
Machine Learning
Data Science
Soggetto non controllato Internal Medicine
Medical
ISBN 981-9921-54-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chapter 1. Introduction to neurodegenerative disorders -- Chapter 2. Neurodegenerative Disorders and available therapies: A review -- Chapter 3. Role of peptides in Neurodegenerative disorders by using Machine Learning techniques -- Chapter 4. Deep learning based classification of neurodegenerative disorders -- Chapter 5. EEG Processing and Machine Learning based Categorization of Epilepsy -- Chapter 6. An Automatic Edge-Region Based Level set Method for MRI Brain Image Segmentation -- Chapter 7. Multimodal Medical Image Fusion for identification of Neurodegenerative disorders Using Neutrosophic CNN Technique -- Chapter 8. Automated EEG temporal lobe signal processing for diagnosis of Alzheimer disease -- Chapter 9. Alzheimer Disease Identification based on the EEG Processing and Machine Learning -- Chapter 10. Deep Learning Models for Automatic Classification and Prediction of Alzheimer’s Disease -- Chapter 11. Machine learning models for Alzheimer Disease Detection using medical images -- Chapter 12. Transfer learning for precise classification of Parkinson disease from EEG signals -- Chapter 13. Analysis of Convolutional Neural Network Based Architecture for Parkinson -- Chapter 14. Challenges and Possible research directions.
Record Nr. UNISA-996546828003316
Koundal Deepika  
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Data Analysis for Neurodegenerative Disorders / / edited by Deepika Koundal, Deepak Kumar Jain, Yanhui Guo, Amira S. Ashour, Atef Zaguia
Data Analysis for Neurodegenerative Disorders / / edited by Deepika Koundal, Deepak Kumar Jain, Yanhui Guo, Amira S. Ashour, Atef Zaguia
Autore Koundal Deepika
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (267 pages)
Disciplina 616.800285
Altri autori (Persone) JainDeepak Kumar
GuoYanhui
AshourAmira S
ZaguiaAtef
Collana Cognitive Technologies
Soggetto topico Medical informatics
Image processing—Digital techniques
Computer vision
Image processing
Machine learning
Artificial intelligence—Data processing
Health Informatics
Computer Imaging, Vision, Pattern Recognition and Graphics
Image Processing
Machine Learning
Data Science
Soggetto non controllato Internal Medicine
Medical
ISBN 981-9921-54-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chapter 1. Introduction to neurodegenerative disorders -- Chapter 2. Neurodegenerative Disorders and available therapies: A review -- Chapter 3. Role of peptides in Neurodegenerative disorders by using Machine Learning techniques -- Chapter 4. Deep learning based classification of neurodegenerative disorders -- Chapter 5. EEG Processing and Machine Learning based Categorization of Epilepsy -- Chapter 6. An Automatic Edge-Region Based Level set Method for MRI Brain Image Segmentation -- Chapter 7. Multimodal Medical Image Fusion for identification of Neurodegenerative disorders Using Neutrosophic CNN Technique -- Chapter 8. Automated EEG temporal lobe signal processing for diagnosis of Alzheimer disease -- Chapter 9. Alzheimer Disease Identification based on the EEG Processing and Machine Learning -- Chapter 10. Deep Learning Models for Automatic Classification and Prediction of Alzheimer’s Disease -- Chapter 11. Machine learning models for Alzheimer Disease Detection using medical images -- Chapter 12. Transfer learning for precise classification of Parkinson disease from EEG signals -- Chapter 13. Analysis of Convolutional Neural Network Based Architecture for Parkinson -- Chapter 14. Challenges and Possible research directions.
Record Nr. UNINA-9910728935403321
Koundal Deepika  
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Neutrosophic multi-criteria decision making / / special issue editors, Florentin Smarandache, Jun Ye, Yanhui Guo
Neutrosophic multi-criteria decision making / / special issue editors, Florentin Smarandache, Jun Ye, Yanhui Guo
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2018
Descrizione fisica 1 electronic resource (206 p.)
Soggetto topico Artificial intelligence
Computer science
Soggetto non controllato Neutrosophic optimization
Neutrosophic medical diagnosis
Neutrosophic data mining
Neutrosophic operations used in MCDM
NMCD Neutrosophic applications
Neutrosophic fault diagnosis
Neutrosophic computational modelling
Neutrosophic image processing using MCDM
Neutrosophic clustering analysis
Neutrosophic decision making theories and methods
ISBN 3-03897-289-4
3-03897-288-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910346680103321
MDPI - Multidisciplinary Digital Publishing Institute, 2018
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui