Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing Software Optimizations and Hardware/Software Codesign /
This book presents recent advances towards the goal of enabling efficient implementation of machine learning models on resource-constrained systems, covering different application domains. The focus is on presenting interesting and new use cases of applying machine learning to innovative application...
Sparad:
| Institutionell upphovsman: | SpringerLink (Online service) |
|---|---|
| Övriga upphovsmän: | Pasricha, Sudeep (Utgivare, redaktör, sammanställare), Shafique, Muhammad (Utgivare, redaktör, sammanställare) |
| Materialtyp: | Elektronisk E-bok |
| Språk: | engelska |
| Publicerad: |
Cham :
Springer Nature Switzerland : Imprint: Springer,
2024.
|
| Upplaga: | 1st ed. 2024. |
| Ämnen: | |
| Länkar: | https://doi.org/10.1007/978-3-031-39932-9 |
| Taggar: |
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Liknande verk
Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing Use Cases and Emerging Challenges /
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Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing Hardware Architectures /
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Project Management in Cloud and IoT Applications
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Machine Learning and Optimization Techniques for Automotive Cyber-Physical Systems
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Embedded Microprocessor System Design using FPGAs
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Cryptography and Embedded Systems Security
av: Hou, Xiaolu, et al.
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av: Hou, Xiaolu, et al.
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Advances in Signal Processing, Embedded Systems and IoT Proceedings of Seventh ICMEET- 2022 /
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Advances in Microelectronics, Embedded Systems and IoT Proceedings of 8th International Conference on Microelectronics, Electromagnetics and Telecommunications (ICMEET 2023) /
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Embedded Systems Design using the MSP430FR2355 LaunchPad™
av: LaMeres, Brock J.
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av: LaMeres, Brock J.
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Random Number Generators Verilog Description, Hardware Implementation and Applications /
av: de la Fraga, Luis Gerardo, et al.
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av: de la Fraga, Luis Gerardo, et al.
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Neuromorphic Solutions for Sensor Fusion and Continual Learning Systems Applications in Drone Navigation and Radar Sensing /
av: Safa, Ali, et al.
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Frontiers of Quality Electronic Design (QED) AI, IoT and Hardware Security /
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Analog Current-Mode Computational Circuits for Artificial Neural Networks
av: Popa, Cosmin Radu
Publicerad: (2025)
av: Popa, Cosmin Radu
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Project Management in Cloud Applications
av: Bhatt, Pramod Chandra P., et al.
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av: Bhatt, Pramod Chandra P., et al.
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Quality-of-Service Aware Design and Management of Embedded Mixed-Criticality Systems
av: Ranjbar, Behnaz, et al.
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av: Ranjbar, Behnaz, et al.
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Efficient Execution of Irregular Dataflow Graphs Hardware/Software Co-optimization for Probabilistic AI and Sparse Linear Algebra /
av: Shah, Nimish, et al.
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av: Shah, Nimish, et al.
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AI on the Edge with Security Foundations and Practices /
av: Sehgal, Naresh Kumar, et al.
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av: Sehgal, Naresh Kumar, et al.
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Hardware Security Training, Hands-on!
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av: Tehranipoor, Mark, et al.
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Hardware Security: Challenges and Solutions
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Logic Locking A Practical Approach to Secure Hardware /
av: Sisejkovic, Dominik, et al.
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av: Sisejkovic, Dominik, et al.
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VLSI for Embedded Intelligence Proceedings of the 27th International Symposium, VDAT 2023 /
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Embedded Machine Learning with Microcontrollers Applications on Arduino Boards /
av: Ünsalan, Cem, et al.
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av: Ünsalan, Cem, et al.
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Embedded Machine Learning with Microcontrollers Applications on STM32 Development Boards /
av: Ünsalan, Cem, et al.
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av: Ünsalan, Cem, et al.
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Switched Inductor Power IC Design
av: Rincón-Mora, Gabriel Alfonso
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av: Rincón-Mora, Gabriel Alfonso
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Imaging Sensors, Power Management, PLLs and Frequency Synthesizers Advances in Analog Circuit Design 2023 /
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In-Memory Computing Hardware Accelerators for Data-Intensive Applications
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Machine Learning for Indoor Localization and Navigation
Publicerad: (2023)
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Graphs in VLSI
av: Bairamkulov, Rassul, et al.
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av: Bairamkulov, Rassul, et al.
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Lifetime Reliability-aware Design of Integrated Circuits
av: Raji, Mohsen, et al.
Publicerad: (2023)
av: Raji, Mohsen, et al.
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Understanding Logic Locking
av: Zamiri Azar, Kimia, et al.
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av: Zamiri Azar, Kimia, et al.
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Enhanced Virtual Prototyping for Heterogeneous Systems
av: Hassan, Muhammad, et al.
Publicerad: (2023)
av: Hassan, Muhammad, et al.
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Advances in Micro-Electronics, Embedded Systems and IoT Proceedings of Ninth International Conference on Microelectronics Electromagnetics and Telecommunications (ICMEET 2024), Volume 1 /
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Towards Heterogeneous Multi-core Systems-on-Chip for Edge Machine Learning Journey from Single-core Acceleration to Multi-core Heterogeneous Systems /
av: Jain, Vikram, et al.
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av: Jain, Vikram, et al.
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Deep Reinforcement Learning Processor Design for Mobile Applications
av: Lee, Juhyoung, et al.
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av: Lee, Juhyoung, et al.
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Machine Learning-based Design and Optimization of High-Speed Circuits
av: Melikyan, Vazgen
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av: Melikyan, Vazgen
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Signal Processing, Telecommunication and Embedded Systems with AI and ML Applications Proceedings of 8th International Conference on Microelectronics Electromagnetics and Telecommunications (ICMEET 2023) /
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Design Automation of Quantum Computers
Publicerad: (2023)
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Design and Applications of Emerging Computer Systems
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On-Chip Training NPU - Algorithm, Architecture and SoC Design
av: Han, Donghyeon, et al.
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av: Han, Donghyeon, et al.
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Approximate Arithmetic Circuit Architectures for FPGA-based Systems
av: Ullah, Salim, et al.
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av: Ullah, Salim, et al.
Publicerad: (2023)
Liknande verk
-
Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing Use Cases and Emerging Challenges /
Publicerad: (2024) -
Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing Hardware Architectures /
Publicerad: (2024) -
Project Management in Cloud and IoT Applications
av: Bhatt, Pramod Chandra P., et al.
Publicerad: (2025) -
Machine Learning and Optimization Techniques for Automotive Cyber-Physical Systems
Publicerad: (2023) -
Embedded Microprocessor System Design using FPGAs
av: Meyer-Baese, Uwe
Publicerad: (2025)