Výsledky vyhľadávania - TinyML ANN Edge computing Anomaly Detection Structural Health Monitoring

TinyML meets vibration-based Structural Health Monitoring: solving a binary classification problem at the edge

Autori: federica zonzini francesca romano antonio carbone a ďalší

Predmety: TinyML ANN Edge computing Anomaly Detection Structural Health Monitoring

Prístupová URL adresa: https://www.youtube.com/watch?v=RmUQzFTnGGY
https://hdl.handle.net/11585/832294

Integrating Machine Learning for Predictive Maintenance on Resource-Constrained PLCs: A Feasibility Study.

Autori: Mennilli, Riccardo Mazza, Luigi Mura, Andrea

Zdroj: Sensors (14248220); Jan2025, Vol. 25 Issue 2, p537, 14p

Predmety: ARTIFICIAL neural networks, CONVOLUTIONAL neural networks, PROGRAMMABLE controllers, STRUCTURAL health monitoring, INDUSTRIAL robots, DATA transmission systems

Reliable ECG Anomaly Detection on Edge Devices for Internet of Medical Things Applications.

Autori: Hizem, Moez Bousbia, Leila Ben Dhiab, Yassmine a ďalší

Zdroj: Sensors (14248220); Apr2025, Vol. 25 Issue 8, p2496, 24p

Predmety: INTERNET of medical things, MACHINE learning, ARTIFICIAL intelligence, ANOMALY detection (Computer security), INTERNET usage monitoring

The convergence of artificial intelligence and structural health monitoring: a comprehensive review of methodologies, advancements, and future trajectories.

Autori: Sarma, I. V. Chanda, Sarit Reddy, M. Srinivasa

Zdroj: Life Cycle Reliability & Safety Engineering; Dec2025, Vol. 14 Issue 4, p531-543, 13p

Reviewing a Decade of Structural Health Monitoring in Footbridges: Advances, Challenges, and Future Directions.

Autori: Liew, JP Rashidi, Maria Le, Khoa a ďalší

Zdroj: Remote Sensing; Aug2025, Vol. 17 Issue 16, p2807, 64p

Predmety: STRUCTURAL health monitoring, FOOTBRIDGES, REMOTE sensing, INFORMATION processing, ARTIFICIAL intelligence, FAILURE analysis, CROWDSOURCING, INFRASTRUCTURE (Economics)

Geografický termín: UNITED States

Structural health monitoring of arch dams with deep learning: a comparative study of recurrent neural networks in daily, bi-monthly, and monthly predictions.

Autori: Baharan, Kiarash Mirzabozorg, Hassan Babadi, Amir Masoud

Zdroj: Journal of Civil Structural Health Monitoring; Oct2025, Vol. 15 Issue 7, p2197-2212, 16p

Unsupervised deep learning framework for temperature-compensated damage assessment using ultrasonic guided waves on edge device.

Autori: Kashyap, Pankhi Shivgan, Kajal Patil, Sheetal a ďalší

Zdroj: Scientific Reports; 2/15/2024, Vol. 14 Issue 1, p1-14, 14p

Predmety: ULTRASONIC waves, DEEP learning, MACHINE learning, STRUCTURAL health monitoring, GRAPHICS processing units, SANDWICH construction (Materials)

An Impact Localization Solution Using Embedded Intelligence—Methodology and Experimental Verification via a Resource-Constrained IoT Device †.

Autori: Katsidimas, Ioannis Kostopoulos, Vassilis Kotzakolios, Thanasis a ďalší

Zdroj: Sensors (14248220); Jan2023, Vol. 23 Issue 2, p896, 22p

Predmety: STRUCTURAL health monitoring, ARTIFICIAL neural networks, RANDOM forest algorithms, INTERNET of things, PIEZOELECTRIC transducers, STRESS waves, SMART devices, NANOPOSITIONING systems

Artificial Intelligence in Edible Mushroom Cultivation, Breeding, and Classification: A Comprehensive Review.

Autori: Jacob, Muharagi Samwel Xu, Anran Qian, Keqing a ďalší

Zdroj: Journal of Fungi; Nov2025, Vol. 11 Issue 11, p758, 32p

Predmety: ARTIFICIAL intelligence, CLASSIFICATION, NUTRITIONAL value, CROSSBREEDING, GENOME editing, MUSHROOM culture, CROP yields

Lightweight and mobile artificial intelligence and immersive technologies in aviation.

Autori: Wild, Graham Nanyonga, Aziida Iqbal, Anam a ďalší

Zdroj: Visual Computing for Industry, Biomedicine & Art; 9/3/2025, Vol. 8 Issue 1, p1-32, 32p

Machine Learning Meets Compressed Sensing in Vibration-Based Monitoring.

Autori: Zonzini, Federica Carbone, Antonio Romano, Francesca a ďalší

Zdroj: Sensors (14248220); Mar2022, Vol. 22 Issue 6, p2229, 19p

Predmety: STRUCTURAL health monitoring, ARTIFICIAL neural networks, ARTIFICIAL intelligence, SENSOR networks, DATA analytics

Spiking Neural Network-Based Near-Sensor Computing for Damage Detection in Structural Health Monitoring.

Autori: Barchi, Francesco Zanatta, Luca Parisi, Emanuele a ďalší

Zdroj: Future Internet; Aug2021, Vol. 13 Issue 8, p219, 1p

Predmety: STRUCTURAL health monitoring, WIRELESS sensor networks, RECURRENT neural networks, VIRTUAL reality, ALGORITHMS, ENERGY consumption

Enhancing resilience in complex energy systems through real-time anomaly detection: a systematic literature review.

Autori: Aghazadeh Ardebili, Ali Hasidi, Oussama Bendaouia, Ahmed a ďalší

Zdroj: Energy Informatics; 10/4/2024, Vol. 7 Issue 1, p1-39, 39p

Predmety: MACHINE learning, ANOMALY detection (Computer security), TECHNOLOGICAL innovations, INFRASTRUCTURE (Economics), CYBER physical systems

Personalized health monitoring using explainable AI: bridging trust in predictive healthcare.

Autori: Vani, M. Sree Sudhakar, Rayapati Venkata Mahendar, A. a ďalší

Zdroj: Scientific Reports; 8/29/2025, Vol. 15 Issue 1, p1-23, 23p

Predmety: DEEP learning, RISK assessment, MEDICAL forecasting, MEDICAL technology

Bioelectronic Implantable Devices for Physiological Signal Recording and Closed‐Loop Neuromodulation.

Autori: Oh, Saehyuck Jekal, Janghwan Liu, Jia a ďalší

Zdroj: Advanced Functional Materials; 10/8/2024, Vol. 34 Issue 41, p1-52, 52p

Predmety: EARLY diagnosis, ARTIFICIAL intelligence, EDGE computing, BIOELECTRONICS, ELEMENTAL analysis

When Mathematical Methods Meet Artificial Intelligence and Mobile Edge Computing.

Autori: Liang, Yuzhu Bi, Xiaotong Shen, Ruihan a ďalší

Zdroj: Mathematics (2227-7390); Jun2025, Vol. 13 Issue 11, p1779, 38p

Predmety: ARTIFICIAL intelligence, MOBILE computing, EDGE computing, ARCHITECTURAL designs, DATA integration

A comprehensive survey on securing the social internet of things: protocols, threat mitigation, technological integrations, tools, and performance metrics.

Autori: Patil, Deepa Ashok G., Shyamala

Zdroj: Scientific Reports; 11/17/2025, Vol. 15 Issue 1, p1-66, 66p

Predmety: BLOCKCHAINS, INTERNET of things, TRUST, ONLINE social network security, DATA protection, MACHINE learning

Charting the Intelligence Frontiers Edge AI Systems Nexus.

Autori: Vermesan, Ovidiu Pagani, Alain Meloni, Paolo

Zdroj: River Publishers Series in Communications; 2025, piii-410, 430p

Predmety: ARTIFICIAL intelligence, EDGE computing, SMART cities, TECHNOLOGICAL innovations, RESOURCE allocation

Evolving landscape of wireless sensor networks: a survey of trends, timelines, and future perspectives.

Autori: Ojha, Amritesh Gupta, Bharat

Zdroj: Discover Applied Sciences; Aug2025, Vol. 7 Issue 8, p1-58, 58p

A Survey of AI-Based Anomaly Detection in IoT and Sensor Networks.

Autori: DeMedeiros, Kyle Hendawi, Abdeltawab Alvarez, Marco

Zdroj: Sensors (14248220); Feb2023, Vol. 23 Issue 3, p1352, 33p

Predmety: ANOMALY detection (Computer security), ARTIFICIAL intelligence, INTERNET of things, EVIDENCE gaps, DEEP learning, WIRELESS sensor networks, SENSOR networks