Results 41 to 50 of about 7,108,814 (163)

On TinyML and Cybersecurity: Electric Vehicle Charging Infrastructure Use Case

IEEE Access
As technology advances, the use of Machine Learning (ML) in cybersecurity is becoming increasingly crucial to tackle the growing complexity of cyber threats.
Fatemeh Dehrouyeh, Li Yang, Firouz Badrkhani Ajaei, Abdallah Shami   +3 more
doaj   +1 more source

An Evolving TinyML Compression Algorithm for IoT Environments Based on Data Eccentricity

Sensors, 2021
Currently, the applications of the Internet of Things (IoT) generate a large amount of sensor data at a very high pace, making it a challenge to collect and store the data.
Gabriel Signoretti, Marianne Silva, Pedro Andrade, Ivanovitch Silva, Emiliano Sisinni, Paolo Ferrari   +5 more
doaj   +1 more source

Physical Reservoir Computing for Smart Manufacturing of PCB Using Crystallinity‐Controlled HfO2 Memristor for Reservoir

Advanced Intelligent Systems, Volume 8, Issue 4, April 2026.
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, Wonhee Lee, Junho Shin, Noah Jang, Hyunjun Kim, Da Ye Kim, Jinkyung Kim, June Soo Kim   +7 more
wiley   +1 more source

Edge Computing in Healthcare Using Machine Learning: A Systematic Literature Review

WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 1, March 2026.
Three key parts of our review. This review examines recent research on integrating machine learning with edge computing in healthcare. It is structured around three key parts: the demographic characteristics of the selected studies; the themes, tools, motivations, and data sources; and the key limitations, challenges, and future research directions ...
Amir Mashmool, Giorgio Delzanno, Hamid Saadatfar, Aakash Ahmad, Rainer Koschke, Roohallah Alizadehsani, U. Rajendra Acharya, Daniele D'Agostino   +7 more
wiley   +1 more source

A TinyML Approach to Real-Time Snoring Detection in Resource-Constrained Wearables Devices

Engineering Proceedings
This study proposes a health monitoring system for snoring detection utilizing Tiny Machine Learning (TinyML) models, specifically designed for resource-constrained wearable Internet of Things (IoT) devices.
Timothy Malche, Sumegh Tharewal, Priti Maheshwary   +2 more
doaj   +1 more source

Use of Automation Technologies and Data Mining in Speech Recognition for Autism

Brain and Behavior, Volume 16, Issue 2, February 2026.
Pipeline analyzes clinical and naturalistic speech using LENA, wav2vec 2.0, and foundation‐model ASR (Whisper) to enable scalable ASD detection and severity estimation. Future work integrates benchmarking, privacy‐preserving collaboration (federated learning), and explainable, edge‐ready AI for clinically credible assessment and longitudinal monitoring.
Rongjie Mao, Yuncheng Zhu
wiley   +1 more source

Microfabricated Neural Biosensors for Detection of Neurotransmitters, Biomarkers, and Small Molecules: Emerging Trends on Self‐Sustained Systems and Energy Harvesting

Advanced Sensor Research, Volume 5, Issue 1, January 2026.
This paper reviews the state of the art and recent developments in thin‐film biosensors for the detection of neurotransmitters, small molecules, and biomarkers within flexible, implantable bioelectronic systems. It covers the main sensing modalities, including electrochemical, plasmonic, acoustic, and magnetic, alongside their materials, transduction ...
Massimo Mariello
wiley   +1 more source

OBJECT DETECTION ALGORITHMS IMPLEMENTATION ON EMBEDDED DEVICES: CHALLENGES AND SUGGESTED SOLUTIONS

Mağallaẗ Al-kūfaẗ Al-handasiyyaẗ
Object detection and image classification are among the most important areas to which scientific research is directed, which are commonly used in various applications based on computer vision.
Ruqaya Alaa, Ehab Hussein, Hilal Al-libawy   +2 more
doaj   +1 more source

From Detection to Countermeasure: A Review of Key Technologies in Counter‐Unmanned Aerial Vehicle Systems

IET Cyber-Systems and Robotics, Volume 8, Issue 1, January/December 2026.
ABSTRACT With the rapid proliferation of unmanned aerial vehicles (UAVs) in the military, logistics and public safety sectors, the threat of illegal intrusion, information theft, and security breaches has increased. This paper provides a comprehensive review of recent developments in counter‐unmanned aerial vehicle (counter‐UAV) systems, focussing on ...
Lei Xing, Can Cui, Miao Wang, Chao Xu
wiley   +1 more source

TinySV: Speaker Verification in TinyML with On-device Learning [PDF]

TinyML is a novel area of machine learning that gained huge momentum in the last few years thanks to the ability to execute machine learning algorithms on tiny devices (such as Internet-of-Things or embedded systems). Interestingly, research in this area
Roveri, Manuel, Pavan, Massimo, Mombelli, Gioele, Sinacori, Francesco   +3 more
core   +1 more source