Deep order-wavelet convolutional variational autoencoder for fault identification of rolling bearing under fluctuating speed conditions

X Yan, D She, Y Xu - Expert Systems with Applications, 2023 - Elsevier
Because of the complex operating environment of high-end industrial machinery, rolling
bearing is generally operated at fluctuating working conditions such as variable speeds or …

A systematic literature review of visual feature learning: deep learning techniques, applications, challenges and future directions

M Abdullahi, ON Oyelade, AFD Kana… - Multimedia Tools and …, 2024 - Springer
Abstract Visual Feature Learning (VFL) is a critical area of research in computer vision that
involves the automatic extraction of features and patterns from images and videos. The …

[HTML][HTML] Descending stairs and floors classification as control reference in autonomous smart wheelchair

F Utaminingrum, AWSB Johan, IK Somawirata… - Journal of King Saud …, 2022 - Elsevier
Disability is a disruption or limitation of a person's body functions in carrying out daily
activities. A person with physical disabilities needs an assistive device such as a wheelchair …

[HTML][HTML] A data-driven methodology for bridge indirect health monitoring using unsupervised computer vision

AC Hurtado, MM Alamdari, E Atroshchenko… - … Systems and Signal …, 2024 - Elsevier
In recent years, researchers have extensively explored the application of drive-by inspection
technology for bridge damage assessment. This approach involves using the response of a …

Navigating Sarcasm in Multilingual Text: An In-Depth Exploration and Evaluation

H Ghous, MH Malik, J Altaf, S Nayab, I Sehrish… - Journal of Computing & …, 2024 - jcbi.org
Sarcasm means using words when you say something opposite from what you want to say,
either to irritate someone, offend them, or just for fun. Detecting sarcasm in multiple …

Review of the application of in-situ sensing techniques to address the tea growth characteristics from leaf to field

Q Cao, C Zhao, Z Xu, P Jiang, H Yang, X Meng… - International Journal of …, 2024 - ijabe.org
The tea plant is a valuable and evergreen crop that is extensively cultivated in China and
many other countries. Currently, there is growing research interest in this plant. For the tea …

Automatic prediction of plant leaf diseases using deep learning models: a review

MA Lakshmi, V Gomathi - 2021 5th International conference on …, 2021 - ieeexplore.ieee.org
with the development of automated technology in agriculture and food production, there are
still some phases that need an enhancement. One of such necessary phases is the …

Learning Salient Features for Speech Emotion Recognition using Attention-based Residual Bidirectional LSTM with Federated Learning

D Kaur, A Misra, OP Vyas - 2024 Fourth International …, 2024 - ieeexplore.ieee.org
In human communication, expressing human emotion plays an essential role in transferring
information to the other individual. The expression forms of human communication are very …

Penerapan Pembelajaran Mesin (Machine Learning) dan Pembelajaran Dalam (Deep Learning) Berkinerja Tinggi untuk Mendukung Sektor Pertanian di Indonesia

HF Pardede - 2023 - penerbit.brin.go.id
Sektor pertanian adalah salah satu sektor strategis di Indonesia dan penerapan teknologi
pembelajaran mesin dan pembelajaran dalam pada sektor ini dapat menjadi salah satu …

An Unsupervised Learning Method for Indirect Bridge Structural Health Monitoring

A Calderon Hurtado, M Makki Alamdari… - … Vibration Analysis for …, 2023 - Springer
Over the last decade, the use of drive-by inspection technology for bridge damage
assessment has been widely studied by scholars. It consists of identifying bridge damage …