Results 41 to 50 of about 793 (174)

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

An Overview of Deep Learning Techniques for Big Data IoT Applications

International Journal of Communication Systems, Volume 39, Issue 4, 10 March 2026.
Reviews deep learning integration with cloud, fog, and edge computing in IoT architectures. Examines model suitability across IoT applications, key challenges, and emerging trends Provides a comparative analysis to guide future deep learning research in IoT environments.
Gagandeep Kaur, Vipin Balyan, Sindhu Hak Gupta   +2 more
wiley   +1 more source

Embedded low-power machine-learning on microcontrollers: systematic literature review

AiBi Revista de Investigación, Administración e Ingeniería
The increasing adoption of artificial intelligence (AI) and machine learning (ML) in engineering systems has traditionally relied on cloud-based processing and high-performance platforms, generating significant computational, energy, and infrastructure ...
Sleiter Ramos-Sanchez, Jinmi Lezama-Calvo, Ronald Paucar-Curasma   +2 more
doaj   +1 more source

Datasheets for machine learning sensors

AI Magazine, Volume 47, Issue 1, Spring 2026.
Abstract Machine learning (ML) is becoming prevalent in embedded AI sensing systems. These “ML sensors” enable context‐sensitive, real‐time data collection and decision‐making across diverse applications ranging from anomaly detection in industrial settings to wildlife tracking for conservation efforts.
Matthew Stewart, Yuke Zhang, Pete Warden, Yasmine Omri, Shvetank Prakash, Jacob Huckelberry, Joao Henrique Santos, Shawn Hymel, Benjamin Yeager Brown, Jim MacArthur, Nat Jeffries, Emanuel Moss, Mona Sloane, Brian Plancher, Vijay Janapa Reddi   +14 more
wiley   +1 more source

Leveraging Lightweight AI for Anomaly Detection in Mechanical Power Transmission At The Edge [PDF]

EPJ Web of Conferences
The integration of IoT and TinyML platforms has revolutionized fault detection and condition monitoring in electromechanical systems, enabling real-time data acquisition and analysis in resource-constrained environments.
Ayadi Walid, Amouri Amar, Ali Saeed, Alzahmi Nada, Khalid Mohammad Nadeem   +4 more
doaj   +1 more source

Next‐Generation Wearable Optical Sensors for Personalized Health and Point‐of‐Care Diagnostics—A Systematic Review

Advanced Healthcare Materials, Volume 15, Issue 10, 13 March 2026.
This review article presents a comprehensive and integrated overview of wearable optical sensors, systematically bridging advanced functional materials with fundamental optical sensing mechanisms. It further highlights their diverse applications across healthcare, fitness monitoring, environmental surveillance, and food safety.
Rituparna Duarah, Helena Torné‐Morató, Guolong Zhang, Youssef Amin, Mahdieh Pabast, Nidhi Sharma, Sailing He, Manash R. Das, Pier Paolo Pompa   +8 more
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

Building an Intelligent Cardiovascular System Platform: Embedding Artificial Intelligence across All Facets of Cardiovascular Medicine

Advanced Intelligent Systems, Volume 8, Issue 3, March 2026.
This paper presents an integrated AI‐driven cardiovascular platform unifying multimodal data, predictive analytics, and real‐time monitoring. It demonstrates how artificial intelligence—from deep learning to federated learning—enables early diagnosis, precision treatment, and personalized rehabilitation across the full disease lifecycle, promoting a ...
Mowei Kong, Xingwei Zhao, Qiuting Li, Yang Yu, Chunxiang Zhang   +4 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

Nanozymes Integrated Biochips Toward Smart Detection System

Advanced Science, Volume 13, Issue 11, 23 February 2026.
This review systematically outlines the integration of nanozymes, biochips, and artificial intelligence (AI) for intelligent biosensing. It details how their convergence enhances signal amplification, enables portable detection, and improves data interpretation.
Dongyu Chen, Wang Zheng, Zhihui Zhang, Shenping Yu, Xinxin Hang, Han Wu, Xiao‐Wei Xiang, Wei Mu, Yanli Jiao, Zaizai Dong, Lingqian Chang   +10 more
wiley   +1 more source