Detecting abnormal sensors via machine learning: An IoT farming WSN-based architecture case study

PSS de Souza, FP Rubin, R Hohemberger, TC Ferreto… - Measurement, 2020 - Elsevier
Precision Agriculture is a broad, systemic, and multidisciplinary subject, dealing with an
integrated information and technology management system, based on the concepts that the …

Privacy and Security in Artificial Intelligence and Machine Learning Systems for Renewable Energy Big Data

S Katamoura, MS Aksoy… - 2024 21st Learning and …, 2024 - ieeexplore.ieee.org
This paper explores the critical intersection of security and privacy in advanced artificial
intelligence (AI) and machine learning (ML) with Internet of Things (IoT) systems and edge …

TiWS-iForest: Isolation forest in weakly supervised and tiny ML scenarios

T Barbariol, GA Susto - Information Sciences, 2022 - Elsevier
Unsupervised anomaly detection tackles the problem of finding anomalies inside datasets
without the labels availability; since data tagging is typically hard or expensive to obtain …

A survey of anomaly detection methods for power grids

S Madabhushi, R Dewri - International Journal of Information Security, 2023 - Springer
The power grid is a constant target for attacks as they have the potential to affect a large
geographical location, thus affecting hundreds of thousands of customers. With the advent of …

Improving Anomaly Detection for Industrial Applications

T Barbariol - 2023 - research.unipd.it
Negli ultimi dieci anni la disponibilità di grandi quantità di dati e potenza di calcolo ha spinto
la comunità scientifica verso lo sviluppo di algoritmi capaci di imparare autonomamente dai …

Real-time industrial systems anomaly detection with on-edge Tiny Machine Learning

A Tiberg - 2022 - diva-portal.org
Embedded system such as microcontrollers has become more powerful and cheaper during
the past couple of years. This has led to more and more development of on-edge …

[PDF][PDF] Comparative analysis of anomaly recognition methods in real time

NV Gololobov, KE Izrailov, IV Kotenko - Research Briefs on …, 2021 - rebicte.org
Comparative analysis of anomaly recognition methods in real time Page 1 Comparative analysis
of anomaly recognition methods in real time Nikita V. Gololobov1, Konstantin E. Izrailov2,3, and …