[HTML][HTML] Applications of Machine Learning in Subsurface Reservoir Simulation—A Review—Part II

A Samnioti, V Gaganis - Energies, 2023 - mdpi.com
In recent years, Machine Learning (ML) has become a buzzword in the petroleum industry,
with numerous applications which guide engineers in better decision making. The most …

[HTML][HTML] Deep learning architecture for detecting SQL injection attacks based on RNN autoencoder model

M Alghawazi, D Alghazzawi, S Alarifi - Mathematics, 2023 - mdpi.com
SQL injection attacks are one of the most common types of attacks on Web applications.
These attacks exploit vulnerabilities in an application's database access mechanisms …

[HTML][HTML] Extruder Machine Gear Fault Detection Using Autoencoder LSTM via Sensor Fusion Approach

JH Lee, CN Okwuosa, JW Hur - Inventions, 2023 - mdpi.com
In industrial settings, gears play a crucial role by assisting various machinery functions such
as speed control, torque manipulation, and altering motion direction. The malfunction or …

[HTML][HTML] A comparison of deep learning algorithms for anomaly detection in discrete mechanical systems

FM Bono, L Radicioni, S Cinquemani, G Bombaci - Applied Sciences, 2023 - mdpi.com
The application of intelligent systems for structural health monitoring is investigated. A
change in the nominal configuration can be related to a structural defect that has to be …

CECvT: Initial Diagnosis of Anomalies in Thermal Images

D Kim, H Hwang, H Kim - IEEE Access, 2023 - ieeexplore.ieee.org
Given the global competitive landscape, it is imperative that businesses maintain and
manage their facilities continuously to enhance efficiency and productivity for sustaining …

[HTML][HTML] Anomaly Detection Methods for Industrial Applications: A Comparative Study

MA Panza, M Pota, M Esposito - Electronics, 2023 - mdpi.com
Anomaly detection (AD) algorithms can be instrumental in industrial scenarios to enhance
the detection of potentially serious problems at a very early stage. Of course, the “Industry …

Unsupervised constrained discord detection in IoT-based online crane monitoring

A Mukherjee, M Sasidharan, M Herrera… - Advanced Engineering …, 2024 - Elsevier
Maritime transport is an indispensable element of the global logistics network. Most maritime
loading-unloading operations are supported by quay cranes, making their availability and …

[HTML][HTML] Vibration data-driven anomaly detection in UAVs: A deep learning approach

EC Ozkat - Engineering Science and Technology, an International …, 2024 - Elsevier
Abstract Unmanned Aerial Vehicles (UAVs) are employed for diverse applications, including
aerial surveillance and package delivery. However, the occurrence of faults, especially …

[HTML][HTML] Anomaly Detection in Gas Turbines Using Outlet Energy Analysis with Cluster-Based Matrix Profile

MB Ghazvini, M Sànchez-Marrè, D Naderi, C Angulo - Energies, 2024 - mdpi.com
Gas turbines play a key role in generating power. It is really important that they work
efficiently, safely, and reliably. However, their performance can be adversely affected by …

Active power load data dimensionality reduction using autoencoder

V Veeramsetty, P Kiran, M Sushma, AM Babu… - Power Quality in …, 2023 - Springer
Dimensionality reduction is a machine learning based technique used to convert the data
from higher dimensionality space to lower dimensionality space. This technique helps to …