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 | ||
|
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 | ||
|
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 | ||
|