Innovations in Computer Vision and Data Classification From Pandemic Data Analysis to Environmental and Health Monitoring /
This book delves into the dynamic realm of data classification, focusing on its real-world applications. Through an insightful journey, readers are introduced to the practical applications of reconfigurable hardware, machine learning, computer vision, and neuromorphic circuit design across diverse d...
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| Format: | Electrònic eBook |
| Idioma: | anglès |
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Cham :
Springer Nature Switzerland : Imprint: Springer,
2024.
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| Edició: | 1st ed. 2024. |
| Col·lecció: | EAI/Springer Innovations in Communication and Computing,
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| Accés en línia: | https://doi.org/10.1007/978-3-031-60140-8 |
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Taula de continguts:
- Introduction
- Accelerating the classification of pandemic data using reconfigurable hardware (FPGA) and machine learning
- Computer vision based automated diagnosis for skin cancer detection
- Design and development of an integrated analytics platform for environmental data classification
- Design and development of multimodal healthcare data sensing and classification using Deep Neural Networks (DNNs)
- Low-power analogue design with Spiking Neural Networks (SNN)
- Full custom design of a sustainable, low-power environmental monitoring node
- Real-time performance analysis of Maximum-Power-Point Tracking (MPPT) algorithm for energy conversion on hardware platform (FPGA)
- Computer-vision based real data generation for object classification
- Conclusion.