Titlebook: Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing; Use Cases and Emergi Sudeep Pasricha,Muhammad Shafique Book 2024 The

Ganglion-Cyst

nonplus

心神不寧

Book 2024covering different application domains. The?focus is on?presenting interesting and new use cases of?applying machine learning to?innovative application domains, exploring the?efficient hardware design of?efficient machine learning accelerators, memory optimization techniques, illustrating model comp

自愛(ài)

https://doi.org/10.1007/978-3-476-04894-3s (CNNs). Our proposed CNN-based indoor localization framework (.) is validated across several indoor locales and shows improvements over the best-known prior works, with an average localization error of <2?m.

Locale

Cannabinoids, Sleep, and the MCH System,offs, and cross-layered sense–compute co-optimization for ML-driven eHealth applications. We demonstrate the practical use cases of smart eHealth applications in everyday settings, through a sensor–edge–cloud framework for an objective pain assessment case study.

傳染

Host142

Bilal Fawaz,Gordana Rasic,Teviah E. Sachsapter, we first introduce related work on deep learning in autonomous vehicles and discuss respective applications. Afterward, we present the backdoor attack literature, focusing on autonomous vehicle controllers employing deep reinforcement learning models. Finally, we introduce backdoor defenses and analyze their effectiveness.

罐里有戒指

事物的方面

chronology

Edge-Centric Optimization of Multi-modal ML-Driven eHealth Applicationsoffs, and cross-layered sense–compute co-optimization for ML-driven eHealth applications. We demonstrate the practical use cases of smart eHealth applications in everyday settings, through a sensor–edge–cloud framework for an objective pain assessment case study.