Info
Convergence of AI, Federated Learning, and Blockchain for Sustainable Development / / edited by Mohit Kumar, Anand Nayyar, Ashutosh Kumar Singh, Yanhui Guo
| Convergence of AI, Federated Learning, and Blockchain for Sustainable Development / / edited by Mohit Kumar, Anand Nayyar, Ashutosh Kumar Singh, Yanhui Guo |
| Autore | Kumar Mohit |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (519 pages) |
| Disciplina | 338.927 |
| Altri autori (Persone) |
NayyarAnand
SinghAshutosh Kumar GuoYanhui |
| Collana | Advances in Science, Technology & Innovation, IEREK Interdisciplinary Series for Sustainable Development |
| Soggetto topico |
Sustainability
Blockchains (Databases) Artificial intelligence Blockchain Artificial Intelligence |
| ISBN | 3-031-80949-1 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Convergence of AI, Federated learning and Blockchain -- AI for expert system -- Natural Language processing for industry 4.0 -- Design and development of autonomous systems -- Decision-Making Techniques for Analytical Systems -- Smart Computational Techniques for IoT applications -- Federated Learning for advanced healthcare -- Federated learning for privacy preserving -- Secure computation for IoT applications -- Analysis and Implementation of Security using Federated Systems -- Development of Federated Learning Recommendation Systems -- Development of Intelligent Productive Federated Learning Systems -- AI and Federated Learning for Sustainable Development Systems Industry 4.0 -- Role of Blockchain Techniques for Sustainable Development -- Blockchain with smart contacts for real-time applications -- Trustworthy AI in Cybersecurity -- Case study based upon smart cities, home and agriculture using AI and Blockchain -- Sustainable Development using Blockchain Technology -- Traceability and Transparency issues in Transactions using Blockchain Techniques -- Emerging Trends and future directions of AI assisted Blockchain and Federated Learning for Sustainable Development Systems. |
| Record Nr. | UNINA-9911020416103321 |
Kumar Mohit
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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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 |
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Koundal Deepika
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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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 |
| ISBN |
9789819921546
9819921546 |
| 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 |
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Koundal Deepika
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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