Results 51 to 60 of about 2,597 (210)
Two significant issues in biosensors that can't be solved by conventional analytical methods are selectivity among likely biological interfering molecules and background noise in clinical samples.
José Ilton de Oliveira Filho +4 more
doaj +1 more source
Trends and Challenges in AIoT/IIoT/IoT Implementation
For the next coming years, metaverse, digital twin and autonomous vehicle applications are the leading technologies for many complex applications hitherto inaccessible such as health and life sciences, smart home, smart agriculture, smart city, smart car
Kun Mean Hou +5 more
doaj +1 more source
Optimization and Benchmarking of Lightweight Neural Networks for Efficient Embedded AI Deployment
A hardware‐aware optimization and benchmarking framework for lightweight neural networks is presented for deployment on heterogeneous embedded platforms including CPU, GPU, TPU, and MCU architectures. Model compression techniques such as quantization, pruning, knowledge distillation, and mixed‐precision computation reduce inference latency, memory ...
Vidapankal Mohammad Fridous +4 more
wiley +1 more source
An Adaptable and Unsupervised TinyML Anomaly Detection System for Extreme Industrial Environments [PDF]
Industrial assets often feature multiple sensing devices to keep track of their status by monitoring certain physical parameters. These readings can be analyzed with machine learning (ML) tools to identify potential failures through anomaly detection ...
Fabio Antonelli +3 more
core +1 more source
Comparing training window selection methods for prediction in non‐stationary time series
Abstract The widespread adoption of smartphones creates the possibility to passively monitor everyday behaviour via sensors. Sensor data have been linked to moment‐to‐moment psychological symptoms and mood of individuals and thus could alleviate the burden associated with repeated measurement of symptoms.
Fridtjof Petersen +6 more
wiley +1 more source
A Novel Active RFID and TinyML based system for livestock Localization in Pakistan
Localization of livestock is a vital component of good livestock management in Pakistan. This abstract describes a unique method for livestock localization in Pakistan that makes use of Active RFID technology and Tiny Machine Learning (TinyML ...
Syed Atir Raza Shirazi +3 more
doaj +1 more source
This study introduces an affordable machine learning platform for simultaneous dengue and zika detection using fluorine‐doped tin oxide thin films modified with gold nanoparticles and DNA aptamers. Designed for low‐cost, hardware‐limited devices (< $25), the model achieves 95.3% accuracy and uses only 9.4 kB of RAM, demonstrating viability for resource‐
Marina Ribeiro Batistuti Sawazaki +3 more
wiley +1 more source
The application of tiny machine learning (TinyML) in human-computer interaction is revolutionizing gesture recognition technologies. However, there remains a significant gap in the literature regarding the effective recognition of complex scripts, such ...
Ismail Lamaakal +5 more
doaj +1 more source
We address multilayer PCB anomaly detection for smart manufacturing by physical reservoir computing with HfO2‐based memristors. Crystallinity‐tuned HfO2 suppresses ferroelectricity while preserving the high‐k insulating state and confers strong short‐term memory.
Yongho Lee +7 more
wiley +1 more source
EcoPull:Sustainable IoT Image Retrieval Empowered by TinyML Models [PDF]
This paper introduces EcoPull, a sustainable Internet of Things (IoT) framework powered by Tiny Machine Learning (TinyML) models for efficient image retrieval from multiple devices.
Croisfelt, Victor +3 more
core +2 more sources

