SAR ship detection algorithm based on deep dense sim attention mechanism network

H Shan, X Fu, Z Lv, Y Zhang - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
Ship detection is of great significance in the interpretation of synthetic aperture radar (SAR)
images. However, SAR generates inherent speckle noise when producing images, which …

An enhanced SSD with feature cross-reinforcement for small-object detection

L Gong, X Huang, Y Chao, J Chen, B Lei - Applied Intelligence, 2023 - Springer
Due to the limited feature information possessed by small objects in images, it is difficult for a
single-shot multibox detector (SSD) to quickly notice the important regions of these small …

Bidirectional Current WP and CBAR Neural Network Model Based Bearing Fault Diagnosis

J Zhu, T Liu - IEEE Access, 2023 - ieeexplore.ieee.org
In the era of artificial intelligence, the development of an efficient bearing, fault diagnosis
method is of vital importance to ensure smooth production operations and avoid major …

Uso de la Inteligencia Artificial para la traducción de lenguajes de señas: una revisión sistemática de literatura

C Ortiz-Leon, F Yupanqui-Allcca… - Salud, Ciencia y …, 2023 - conferencias.saludcyt.ar
Introducción: en esta revisión sistemática de literatura se analizó el uso de la inteligencia
artificial en la traducción de lenguajes de señas para personas con pérdida de la audición y …

A neural-network based web application on real-time recognition of Pakistani sign language

AA Mujeeb, AH Khan, S Khalid, MS Mirza… - … Applications of Artificial …, 2024 - Elsevier
Communication between deaf and non-deaf individuals is affected by a language barrier, as
the hearing-impaired rely on sign language to communicate. This two-way process requires …

A Bidirectional Arabic Sign Language Framework Using Deep Learning and Fuzzy Matching Score

MAA Mosleh, A Assiri, AH Gumaei, BF Alkhamees… - Mathematics, 2024 - mdpi.com
Sign language is widely used to facilitate the communication process between deaf people
and their surrounding environment. Sign language, like most other languages, is considered …

Research on gesture recognition and classification based on attention mechanism

L Wang, X Chen, W Xiong, Z Li - 2022 IEEE 5th Advanced …, 2022 - ieeexplore.ieee.org
Since the 20th century, the computer field has developed rapidly and human-computer
interaction has become more and more frequent. As an important development area of …

Malaysian Sign Language Alphabet Recognition Through Hand Landmarks Feature and Machine Learning

MAQBZ Abidin, AF Ramli… - 2023 International …, 2023 - ieeexplore.ieee.org
The population of hearing and speaking impairment often experiences difficulties when
others fail to understand them and vice versa. This presents a major issue in terms of …

Detection Method of Coconut Development Intelligence Based on Improved YOLO V5 Model

Q Liu, Y Zhang, M Huang, J Chen… - 2022 6th Asian …, 2022 - ieeexplore.ieee.org
Because of the special structure of coconut, it is difficult to observe the development of its
internal structure accurately, so the research on the development of coconut organs is blank …

A VIRTUAL REALITY APPROACH TO SUPPORT MALAYSIAN SIGN LANGUAGE INTERACTIVE LEARNING FOR DEAF-MUTE CHILDREN

NR Rahim, AAA Rahim - Journal of Pharmaceutical Negative …, 2022 - pnrjournal.com
Malaysian Sign Language (MSL) is a primary sign language in Malaysia for the deaf-mute
people including people with either hearing impairments or physically unable to speak …