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1. |
Record Nr. |
UNINA9910865284703321 |
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Autore |
Drias Habiba |
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Titolo |
Quantum Computing: Applications and Challenges / / edited by Habiba Drias, Farouk Yalaoui |
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Pubbl/distr/stampa |
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Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
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ISBN |
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Edizione |
[1st ed. 2024.] |
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Descrizione fisica |
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1 online resource (226 pages) |
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Collana |
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Information Systems Engineering and Management, , 3004-9598 ; ; 2 |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Engineering mathematics |
Engineering - Data processing |
Quantum computers |
Quantum theory |
Mathematical and Computational Engineering Applications |
Quantum Computing |
Quantum Physics |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Chapter 1. An Overview of Quantum Key Agreement Protocols -- Chapter 2. Variational Circuit based Hybrid Quantum-Classical Algorithm VC-HQCA -- Chapter 3 Quantum computing in Non Destructive Testing of Materials -- Chapter 4. Enhanced Gaussian Quantum Particle Swarm Optimization for the Clustering of Biomedical Data -- Chapter 5. Quantum Inspired Grey Wolf Optimizer for Convolutional Neural Network Hyperparameter Optimization -- Chapter 6. Frequent itemsets mining using new quantum inspired elephant swarm algorithm -- Chapter 7. Quantum Slime Mould Algorithm and application to urgent transportation -- Chapter 9. Quantum FP-Growth for Association Rules Mining -- Chapter 10 Gaussian Quantum-behaved PSO strategy for Lithium Battery model optimization -- Chapter 11. Quantum Recurrent Neural Networks for Soil Profiles Prediction in Türkiye -- Chapter 12. Q-CODA: Co-Designing Quantum Codes and Architectures for Hardware-Aware Quantum Error Correction -- Chapter 13. Quantum Computing for Computer Vision: Applications, |
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Challenges, and Research Tracks -- Chapter 14. A multiparty efficient semi-quantum secret sharing protocol of specific bits -- Chapter 15. Quantum Convolution for Convolutional Neural Networks -- Chapter 16. A Quantum-Inspired Deep Learning Models for Skin Lesion Classification. |
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Sommario/riassunto |
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This book is intended for academics, researchers, Ph.D. students, and industrials to learn about quantum computing and prepare them to understand the future with its cutting-edge tools. Quantum computing holds great promise in terms of human life quality especially when combined with artificial intelligence. In addition to quantum computing, the book focuses on quantum artificial intelligence, quantum machine and deep learning, quantum cryptography, and quantum logistics optimization. Applications in weather forecasting, digital soil mapping, skin lesion classification, combinatorial optimization, and urgent transportation, among others, are presented. . |
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2. |
Record Nr. |
UNINA9911034945703321 |
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Autore |
Kala Deepak |
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Titolo |
Nanosensors in Biomedical Technology / / edited by Deepak Kala, Harsh Kumar, Nadeem Akhtar |
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Pubbl/distr/stampa |
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Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
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ISBN |
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Edizione |
[1st ed. 2025.] |
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Descrizione fisica |
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1 online resource (583 pages) |
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Collana |
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Smart Nanomaterials Technology, , 3004-8281 |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Materials |
Detectors |
Chemical detectors |
Biomedical engineering |
Sensors and biosensors |
Sensors |
Biomedical Devices and Instrumentation |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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The Basics of Nanosensors -- Nanosensor Fabrication Techniques -- Principles of Nanosensor Operation -- Nanomaterials for Nanosensor Construction -- Nanosensors for Disease Diagnostics -- Nanosensor for Drug Delivery -- Nanosensors for Theranostics -- Nanosensors for Personalized Medicine -- Nanosensors in Wearable Health Devices -- Nanosensors for breath sensing -- Nanosensors for Point-of-Care Testing -- Nanosensor Technology in Telemedicine -- Nanosensors in Neural Health and Brain-Machine Interfaces -- AI-Enhanced Nanosensors for Advanced Diagnostics -- The Future of Biological Imaging: Nanosensors -- Future Prospects of Nanosensors in Health Sectors -- Ethical and Safety Considerations of Nanosensors -- Regulatory Challenges and Approvals. |
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Sommario/riassunto |
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This book highlights the significance of nanosensors for applications in the biomedical and healthcare sector. The topics emphasize the fundamental principles of nanosensors, their fabrication process, and their applications in different areas, such as biosensing, point-of-care (POC) development, drug delivery, biomedical imaging, and tissue engineering. The chapters cover the advancements in these areas by considering personalized medicine, telemedicine, and artificial intelligence (AI)-driven biosensing strategies. The book not only focuses on the advancements, but also highlights the challenges in this area from both technical and regulatory perspectives. Its content is written by experienced subject experts in a manner suited to the general public and researchers who are interested in nanotechnology and its applications in biomedical. |
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