Sound-based drone fault classification using multitask learning
Apr 23, 2023 · We employ multitask learning (MTL) and incorporate the direction classification task as an auxiliary task to make the classifier learn more general audio features. The test …
We developed a novel Sequential Multitask Cascaded Neural Network (SMTCNN) architecture, which in-corporates three sequential tasks: change-point de-tection (CPD), refinement of CPD …
Fault-MTL: A Multi-task Deep Learning Approach for Simultaneous Fault ...
Aug 11, 2024 · This research proposes a fully automated, integrated multi-task deep learning-based framework called the Fault-MTL (multi-task learning) model for performing fault …
Simultaneous Fault Diagnosis and Size Estimation Using Multitask ...
May 31, 2024 · For this end, this article proposes a multitask federated incremental learning (multitask-FIL) framework. First of all, a multitask feature sharing network is established by …
Fault detection and classification using artificial neural networks
Jan 1, 2018 · In this paper, deep neural networks are applied to the problem of fault detection and classification to illustrate their capability. First, the fault detection and classification problems …
Internet of Things Fault Detection and Classification via Multitask ...
Dec 15, 2023 · We propose SMTCNN for fault detection and category classification in IIoT, evaluating its performance on real-world data. SMTCNN achieves superior specificity (3.5%) …
Multilocation fault detection with piezoelectric arrays and multitask …
May 9, 2024 · This article presents an innovative method for monitoring rotating instruments using piezoelectric array sensors and multi-task CNN (convolutional neural network) learning. The …
Internet of Things Fault Detection and Classification via Multitask ...
Jul 3, 2023 · This paper presents a comprehensive investigation into developing a fault detection and classification system for real-world IIoT applications. The study addresses challenges in …
Defect Classification and Detection Using a Multitask Deep One …
Sep 14, 2021 · This article describes a method that does not require abnormal images for training a convolutional neural network (CNN) in order to perform one-class defect classification …
Multi-task federated learning-based system anomaly detection …
Oct 1, 2024 · Multi-task federated learning is utilized to address multiple microservices’ anomaly detection and classification needs. Simultaneously, the approach leverages the similarity and …