Results 91 to 100 of about 2,597 (210)

Physics-Enhanced TinyML for Real-Time Detection of Ground Magnetic Anomalies

, 2023
Space weather phenomena like geomagnetic disturbances (GMDs) and geomagnetically induced currents (GICs) pose significant risks to critical technological infrastructure.
Mahmud, MD Shaad, Siddique, Talha
core  

Dendron: Enhancing Human Activity Recognition With on-Device Tinyml Learning [PDF]

Human activity recognition (HAR) is a research field that employs Machine Learning (ML) techniques to identify user activities. Recent studies have prioritized the development of HAR solutions directly executed on wearable devices, enabling the on-device
Roveri, Manuel, Shalby, Hazem Hesham Yousef   +1 more
core   +1 more source

TinyML4D: Scaling Embedded Machine Learning Education in the Developing World [PDF]

Embedded machine learning (ML) on low-power devices, also known as "TinyML," enables intelligent applications on accessible hardware and fosters collaboration across disciplines to solve real-world problems.
A. Grande, A. Trevisan, B. Chaudhari, B. Murmann, B. Plancher, D. Cuartielles, D. Mendez, E. Gousev, E. Pan, E. Pietrosemoli, G. Barrett, H. Aworinde, J. Bagur, J. Ellis, J. Filho, J. Sotelo, J. Tum, L. Kazimierski, M. Lukic, M. Pavan, M. Rovai, M. Roveri, M. Rüb, M. Verhelst, M. Zennaro, N. Benamar, N. Goveas, P. Ing, P. Manandhar, P. Manzoni, R. Criollo, R. Nordin, R. Paskauskas, S. Abdeljabar, S. Adebayo, S. Buttrich, S. Gizaw, S. Hymel, T. Amberg, T. Pimenta, V. Reddi   +40 more
core   +1 more source

TinyML Inference Enablement and Acceleration on Microcontrollers The Case of Healthcare [PDF]

Controlling high blood pressure can eliminate more than half of the deaths caused by cardiovascular diseases (CVDs). Towards this target, continuous BP monitoring is a must.
Sun, Bailian
core  

Voice-activated home automation system for IoT edge devices using TinyML

Discover Internet of Things
Home automation systems are popular because they enhance the quality of life and the way users interact with the environment. Deploying complex machine learning models on Internet of Things (IoT) devices with limited resources is still difficult.
Timothy Malche, Sandeep Budhani, Pramod Kumar Soni, Govind Murari Upadhyay   +3 more
doaj   +1 more source

Physics-Enhanced TinyML for Real- Time Detection of Ground Magnetic Anomalies

IEEE Access
Space weather phenomena like geomagnetic disturbances (GMDs) and geomagnetically induced currents (GICs) pose significant risks to critical technological infrastructure.
Talha Siddique, Md. Shaad Mahmud
doaj   +1 more source

Tiny Neural Receiver: Enabling On-Device Learning for Scalable and Adaptive 6G Devices

AI
The evolution toward 6G communications requires integrating Tiny Machine Learning (TinyML) principles to enable intelligent, energy-efficient, and adaptable signal processing at the network edge. However, current receiver architectures face a fundamental
Iñigo Bilbao, Eneko Iradier, Jon Montalban, Marta Fernández, Iñaki Eizmendi, Pablo Angueira   +5 more
doaj   +1 more source

Optimized Tiny Machine Learning and Explainable AI for Trustable and Energy-Efficient Fog-Enabled Healthcare Decision Support System

International Journal of Computational Intelligence Systems
The Internet of things (IoT)-based healthcare decision support system plays a crucial role in modern medicine, especially with the rise in chronic illnesses and an aging population necessitating continuous remote health monitoring.
R. Arthi, S. Krishnaveni
doaj   +1 more source

Development and evaluation of a TinyML-based sensor fusion system for medical waste classification on low-cost embedded devices

Medisains
Background: Medical waste management in resource-limited healthcare facilities remains dominated by manual segregation, which is error-prone and difficult to standardize.
Dini Afriani, Irfan Fadil
doaj   +1 more source

Tiny Machine Learning: Progress and Futures

Tiny Machine Learning (TinyML) is a new frontier of machine learning. By squeezing deep learning models into billions of IoT devices and microcontrollers (MCUs), we expand the scope of AI applications and enable ubiquitous intelligence.
Chen, Wei-Ming, Han, Song, Lin, Ji, Wang, Wei-Chen, Zhu, Ligeng   +4 more
core   +1 more source