Results 231 to 240 of about 16,826 (269)

A dual-modal vision system for non-invasive real-time monitoring of broiler diarrhea under low-light conditions. [PDF]

Poult Sci
Zhang W, Sun J, Sun J, Yang K, Xie X, Chen C.   +5 more
europepmc   +1 more source

SMC-LUD:Large-Scale B-Mode Liver Ultrasound Dataset for Hepatocellular Carcinoma and Hemangioma Classification. [PDF]

Sci Data
Tak J, Ko RE, Kwon RD, Abbas Z, Cho YH, Kim J, Seo S, Oh N, Lee SW.   +8 more
europepmc   +1 more source

Incremental On-Device Tiny Machine Learning [PDF]

Proceedings of the 2nd International Workshop on Challenges in Artificial Intelligence and Machine Learning for Internet of Things, 2020
Tiny Machine Learning (TML) is a novel research area aiming at designing and developing Machine Learning (ML) techniques meant to be executed on Embedded Systems and Internet-of-Things (IoT) units. Such techniques, which take into account the constraints on computation, memory, and energy characterizing the hardware platform they operate on, exploit ...
Disabato S., Roveri M.
openaire   +3 more sources

Machine Learning on Commodity Tiny Devices [PDF]

, 2022
This book aims at the tiny machine learning (TinyML) software and hardware synergy for edge intelligence applications. This book presents on-device learning techniques covering model-level neural network design, algorithm-level training optimization and hardware-level instruction acceleration.
Guo, Song, Zhou, Qihua
openaire   +3 more sources

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Tiny Machine Learning (Tiny-ML) for Efficient Channel Estimation and Signal Detection

IEEE Transactions on Vehicular Technology, 2022
Hongfu Liu, Ziping Wei, Chenglin Zhao
exaly   +2 more sources

Tiny Machine Learning Business Intelligence in the Semiconductor Industry: A Case Study [PDF]

, 2023
This paper sets its primary objective to  understand the transformative potential of Tiny Machine  Learning (Tiny ML) and Artificial Intelligence (AI) in  enhancing industrial efficiency.
Danilo Pau
exaly   +2 more sources

Efficient and Scalable Tiny Machine Learning [PDF]

Machine learning (ML) has revolutionized computing, but for ML to become fully ubiquitous, it must be deployed on the billions of ultra-low-power sensing devices that already permeate society. This requires extreme levels of efficiency that are typically achieved through expensive specialization and optimization; however, this is impractical given the ...
Banbury, Colby Richard
openaire   +2 more sources