Results 121 to 130 of about 2,210 (159)

Lightweight Signal Processing and Edge AI for Real-Time Anomaly Detection in IoT Sensor Networks. [PDF]

Sensors (Basel)
Reis MJCS.
europepmc   +1 more source

A TinyMLOps Pipeline for Coarse-Grained Plant Disease Classification in Precision Agriculture. [PDF]

Sensors (Basel)
Aqasizade H, Antonini M, Vecchio M, Antonelli F.   +3 more
europepmc   +1 more source

Deploying TinyML for energy-efficient object detection and communication in low-power edge AI systems. [PDF]

Sci Rep
Bhushan CM, Koppuravuri P, Prasanthi N, Gazi F, Hussain MM, Abdussami M, Devi AA, Faizi J.   +7 more
europepmc   +1 more source

FastKAN-DDD: A novel fast Kolmogorov-Arnold network-based approach for driver drowsiness detection optimized for TinyML deployment. [PDF]

PLoS One
Essahraui S, Lamaakal I, Maleh Y, El Makkaoui K, Bouami MF, Ouahbi I, Elmannai H, Abd El-Latif AA.   +7 more
europepmc   +1 more source

An Intelligent, low-cost water quality monitoring system with on-device machine learning and cloud integration. [PDF]

Sci Rep
Sharma S, Mishra D, Yadav A, Gami B, Madhan ES.   +4 more
europepmc   +1 more source

Secure edge-based IoMT framework for ICU monitoring with TinyML and post-quantum cryptography. [PDF]

Sci Rep
Khan UH, Qamar A, Khan R, Alturise F, Alshaabani AR, Alkhalaf S.   +5 more
europepmc   +1 more source

An optimized stacking-based TinyML model for attack detection in IoT networks. [PDF]

PLoS One
Sharma A, Rani S, Shabaz M.
europepmc   +1 more source

Intelligent Classification of Urban Noise Sources Using TinyML: Towards Efficient Noise Management in Smart Cities. [PDF]

Sensors (Basel)
Remolina Soto MS, Amaya Guzmán B, Aya-Parra PA, Perdomo OJ, Becerra-Fernandez M, Sarmiento-Rojas J.   +5 more
europepmc   +1 more source

Real-time on-device weed identification using a hardware-efficient lightweight CNN. [PDF]

Front Plant Sci
Zhang Y, Lu Y, Martinez-Rau LS, Qiu Q, Bader S.   +4 more
europepmc   +1 more source

Development of a bench system with capacitive sensor, sample compression, and TinyML for iron ore moisture measurement. [PDF]

Sci Rep
Pinto ÉS, Matos SN, Neiva M, Santos GA, Marcolino LS, Ueyama J, Euzébio TAM, Pessin G, Pritzelwitz PV, Segundo AKR.   +9 more
europepmc   +1 more source