Review on deep learning classifiers for faults diagnosis of rotating industrial machinery

AA Shaalan, W Mefteh, AM Frihida - Service Oriented Computing and …, 2024 - Springer
Rotating industrial machinery underpins manufacturing and infrastructure, yet robust fault
diagnosis remains crucial for optimizing efficiency and minimizing downtime. This review …

Threat detection model for WLAN of simulated data using deep convolutional neural network

OID Bashi, SM Jameel, YMA Kubaisi, HK Hameed… - Applied Sciences, 2023 - mdpi.com
Security identification solutions against WLAN network attacks according to straightforward
digital detectors, such as SSID, IP addresses, and MAC addresses, are not efficient in …

Leveraging machine learning and low-cost hardware for economical wind-driven water level prediction

RH Sahib, DHM Jawad, AZ Sameen… - … Oriented Computing and …, 2024 - Springer
Although the prospect of the Internet of Things (IoT) is almost unlimited, developing IoT
techniques can look discouraging, demanding a multidomain expertise and complex web …

Optimizing Indoor Localization Accuracy with Neural Network Performance Metrics and Software-Defined IEEE 802.11 az Wi-Fi Set-Up

L Kouhalvandi, S Aygun, L Matekovits… - … Networks and Mobile …, 2023 - ieeexplore.ieee.org
Accurately classifying regions based on Wi-Fi signals can be a difficult task, especially when
considering different frequency values. In this study, we aimed to improve the accuracy of …

[PDF][PDF] Xception transfer learning with early stopping for facial age estimation

МВ Полякова, ВВ Рогачко, ОГ Нестерюк… - Прикладні аспекти …, 2024 - aait.od.ua
The rapid development of deep learning attracts more attention to the analysis of person's
face images. Deep learning methods of facial age estimation are more effective compared to …

Developing Microphone-Based Audio Commands Classifier Using Convolutional Neural Network

SM Mahdi, SA Hussein, HM Salman… - … -European Journal of …, 2023 - papers.ssrn.com
Audio command recognition methods are essential to be recognized for performing user
instructions, especially for people with disabilities. Previous studies couldn't examine and …