Cited by Embedded Deep NN with Convolution NN-ID to Binominal Sentiment Prediction

Transfer Learning-Based Health Monitoring of Robotic Rotate Vector Reducer Under Variable Working Conditions DOI

Muhammad Umar Elahi, Izaz Raouf, Salman Khalid

et al.

Machines, Journal Year: 2025, Volume and Issue: 13(1), P. 60 - 60

Published: Jan. 16, 2025

Due to their precision, compact size, and high torque transfer, Rotate vector (RV) reducers are becoming more popular in industrial robots. However, repetitive operations varying speed conditions mean that these components prone mechanical failure. Therefore, it is important develop effective health monitoring (HM) strategies. Traditional approaches for HM, including those using vibration acoustic emission sensors, encounter such challenges as noise interference, data inconsistency, computational costs. Deep learning-based techniques, which use current electrical embedded within robots, address issues, offering a efficient solution. This research provides transfer learning (TL) models the HM of RV reducers, eliminate need train from scratch. Fine-tuning pre-trained architectures on operational three different conditions, healthy, faulty, faulty aged, improves fault classification across motion profiles variable conditions. Four TL models, EfficientNet, MobileNet, GoogleNet, ResNET50v2, considered. The accuracy generalization capabilities suggested were assessed diverse circumstances, low speed, fluctuations. Compared other proposed EfficientNet model showed most promising results, achieving testing an F1-score 98.33% each, makes best suited robotic reducers.

Language: Английский

Citations

Real-time determination of weld penetration status during A-TIG welding of stainless steel employing deep learning approach DOI

N. Chandrasekhar,

Vasudevan Muthukumaran,

C. R. Das

et al.

Welding in the World, Journal Year: 2025, Volume and Issue: unknown

Published: April 30, 2025

Language: Английский

Citations

Oral cavity carcinoma detection using BAT algorithm-optimized machine learning models with transfer learning and random sampling DOI

Sakinat Oluwabukonla Folorunso,

Akinshipo Abdulwarith,

Abidemi Emmanuel Adeniyi

et al.

Computers in Biology and Medicine, Journal Year: 2025, Volume and Issue: 192, P. 110250 - 110250

Published: May 5, 2025

Language: Английский

Citations

Speculative Analysis of CNN's and ResNet50 for the Identification of Emotion From Facial Expressions DOI

Bathinapatla Hemanth Kumar,

S. Gokila

Published: April 4, 2024

Language: Английский

Citations

Embedded Deep NN with Convolution NN-ID to Binominal Sentiment Prediction DOI

S. Gokila,

S. Rajeswari,

D. Helen

et al.

Published: April 4, 2024

Language: Английский

Citations