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pro vyhledávání: '"REN, HAOYU"'
Recent advances in Tiny Machine Learning (TinyML) empower low-footprint embedded devices for real-time on-device Machine Learning. While many acknowledge the potential benefits of TinyML, its practical implementation presents unique challenges. This
Externí odkaz:
http://arxiv.org/abs/2405.07601
The field of Tiny Machine Learning (TinyML) has made substantial advancements in democratizing machine learning on low-footprint devices, such as microcontrollers. The prevalence of these miniature devices raises the question of whether aggregating t
Externí odkaz:
http://arxiv.org/abs/2307.06822
Tiny machine learning (TinyML) is a rapidly growing field aiming to democratize machine learning (ML) for resource-constrained microcontrollers (MCUs). Given the pervasiveness of these tiny devices, it is inherent to ask whether TinyML applications c
Externí odkaz:
http://arxiv.org/abs/2304.05201
Nearly 300,000 older adults experience a hip fracture every year, the majority of which occur following a fall. Unfortunately, recovery after fall-related trauma such as hip fracture is poor, where older adults diagnosed with Alzheimer's Disease and
Externí odkaz:
http://arxiv.org/abs/2303.03502
Autor:
Ren, Haoyu, Dorofeev, Kirill, Anicic, Darko, Hammad, Youssef, Eckl, Roland, Runkler, Thomas A.
Internet of Things (IoT) is transforming the industry by bridging the gap between Information Technology (IT) and Operational Technology (OT). Machines are being integrated with connected sensors and managed by intelligent analytics applications, acc
Externí odkaz:
http://arxiv.org/abs/2207.08818
Publikováno v:
In Chemical Engineering Journal 1 November 2024 499
Autor:
Su, Haiwen, Ma, Yanyu, Li, Wenhan, Ren, Haoyu, Maimaitikelimu, Xiayidan, Lin, Fangsiyu, Zhang, Hongbo, Liu, Shuai, Chen, Quanchi, Wang, Huan
Publikováno v:
In Chemical Engineering Journal 1 January 2025 503
Publikováno v:
In Journal of Environmental Sciences January 2025 147:462-473
Tiny machine learning (TinyML) has gained widespread popularity where machine learning (ML) is democratized on ubiquitous microcontrollers, processing sensor data everywhere in real-time. To manage TinyML in the industry, where mass deployment happen
Externí odkaz:
http://arxiv.org/abs/2202.09113
Publikováno v:
In Decision Support Systems September 2024 184