Results 11 to 20 of about 15,702 (241)

A Tiny Machine Learning Model for Point Cloud Object Classification

APSIPA Transactions on Signal and Information Processing, 2023
The design of a tiny machine learning model which can be deployed in mobile and edge devices for point cloud object classification is investigated in this work. To achieve this objective, we replace the multi-scale representation of a point cloud object with a single-scale representation for complexity reduction, and exploit rich 3D geometric ...
Min Zhang, Jintang Xue, Pranav Kadam, Hardik Prajapati, Shan Liu, C.-C. Jay Kuo   +5 more
doaj   +3 more sources

SENSIPLUS-LM: A Low-Cost EIS-Enabled Microchip Enhanced with an Open-Source Tiny Machine Learning Toolchain

Computers, 2023
The technological step towards sensors’ miniaturization, low-cost platforms, and evolved communication paradigms is rapidly moving the monitoring and computation tasks to the edge, causing the joint use of the Internet of Things (IoT) and machine ...
Michele Vitelli, Gianni Cerro, Luca Gerevini, Gianfranco Miele, Andrea Ria, Mario Molinara   +5 more
doaj   +3 more sources

Tiny Machine Learning for Concept Drift

IEEE Transactions on Neural Networks and Learning Systems
Tiny Machine Learning (TML) is a new research area whose goal is to design machine and deep learning techniques able to operate in Embedded Systems and IoT units, hence satisfying the severe technological constraints on memory, computation, and energy characterizing these pervasive devices.
Simone Disabato, Manuel Roveri
exaly   +5 more sources

Navigating the Challenges and Opportunities of Tiny Deep Learning and Tiny Machine Learning in Lung Cancer Identification

مجلة النهرين للعلوم الهندسية
Lung cancer is the most common dangerous disease that, if treated late, can lead to death. It is more likely to be treated if successfully discovered at an early stage before it worsens.
Yasir Salam Abdulghafoor, Auns Qusai Al-Neami, Ahmed Faeq Hussein   +2 more
doaj   +2 more sources

Secure Tiny Machine Learning on Edge Devices: A Lightweight Dual Attestation Mechanism for Machine Learning

Future Internet
Emerging edge devices are transforming the Internet of Things (IoT) by enabling more responsive and efficient interactions between physical objects and digital networks.
Vlad-Eusebiu Baciu, An Braeken, Laurent Segers, Bruno da Silva   +3 more
doaj   +3 more sources

Tiny Machine Learning: Progress and Futures

CoRR, 2023
arXiv admin note: text overlap with arXiv:2206 ...
Ji Lin 0002, Ligeng Zhu, Wei-Ming Chen, Wei-Chen Wang 0002, Song Han 0003   +4 more
openaire   +3 more sources

Measuring Comfort Behaviours in Laying Hens Using Deep-Learning Tools

Animals, 2022
Image analysis using machine learning (ML) algorithms could provide a measure of animal welfare by measuring comfort behaviours and undesired behaviours.
Marco Sozzi, Giulio Pillan, Claudia Ciarelli, Francesco Marinello, Fabrizio Pirrone, Francesco Bordignon, Alessandro Bordignon, Gerolamo Xiccato, Angela Trocino   +8 more
doaj   +1 more source

MiCrowd: Vision-Based Deep Crowd Counting on MCU

Sensors, 2023
Microcontrollers (MCUs) have been deployed on numerous IoT devices due to their compact sizes and low costs. MCUs are capable of capturing sensor data and processing them. However, due to their low computational power, applications processing sensor data
Sungwook Son, Ahreum Seo, Gyeongseon Eo, Kwangyeon Gill, Taesik Gong, Hyung-Sin Kim   +5 more
doaj   +1 more source

Tiny Machine Learning for Resource-Constrained Microcontrollers

Journal of Sensors, 2022
We use 250 billion microcontrollers daily in electronic devices that are capable of running machine learning models inside them. Unfortunately, most of these microcontrollers are highly constrained in terms of computational resources, such as memory usage or clock speed.
Hämäläinen, Timo, Immonen, Riku
  +7 more sources

Machine learning for microalgae detection and utilization

Frontiers in Marine Science, 2022
Microalgae are essential parts of marine ecology, and they play a key role in species balance. Microalgae also have significant economic value. However, microalgae are too tiny, and there are many different kinds of microalgae in a single drop of ...
Hongwei Ning, Rui Li, Teng Zhou
doaj   +1 more source