Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Intelligent real-life key-pixel image detection system for early Arabic sign language learners
Lack of an effective early sign language learning framework for a hard-of-hearing population
can have traumatic consequences, causing social isolation and unfair treatment in …
can have traumatic consequences, causing social isolation and unfair treatment in …
Enhancing Arabic sign language interpretation: leveraging convolutional neural networks and transfer learning
In a world essentializing communication for human connection, the deaf community
encounters distinct barriers. Sign language, their main communication method is rich in …
encounters distinct barriers. Sign language, their main communication method is rich in …
Artificial intelligence in sign language recognition: A comprehensive bibliometric and visual analysis
Sign language recognition (SLR) plays a crucial role in bridging the communication gap
between individuals with hearing impairments and the auditory communities. This study …
between individuals with hearing impairments and the auditory communities. This study …
Efhamni: A deep learning-based Saudi sign language recognition application
L Al Khuzayem, S Shafi, S Aljahdali, R Alkhamesie… - Sensors, 2024 - mdpi.com
Deaf and hard-of-hearing people mainly communicate using sign language, which is a set of
signs made using hand gestures combined with facial expressions to make meaningful and …
signs made using hand gestures combined with facial expressions to make meaningful and …
Enhanced weak spatial modeling through CNN-based deep sign language skeletal feature transformation
Recent sign language skeletal-based feature models (SLSm) consist of various distracting
coordinates that lead to complex deep-learning modeling. However, SLSm is not purely a …
coordinates that lead to complex deep-learning modeling. However, SLSm is not purely a …
Applying Swin Architecture to Diverse Sign Language Datasets
In an era where artificial intelligence (AI) bridges crucial communication gaps, this study
extends AI's utility to American and Taiwan Sign Language (ASL and TSL) communities …
extends AI's utility to American and Taiwan Sign Language (ASL and TSL) communities …
[HTML][HTML] Techniques for Detecting the Start and End Points of Sign Language Utterances to Enhance Recognition Performance in Mobile Environments
T Kim, B Kim - Applied Sciences, 2024 - mdpi.com
Recent AI-based technologies in mobile environments have enabled sign language
recognition, allowing deaf individuals to communicate effectively with hearing individuals …
recognition, allowing deaf individuals to communicate effectively with hearing individuals …
[HTML][HTML] Machine Learning and Deep Learning Approaches for Arabic Sign Language Recognition: A Decade Systematic Literature Review
A Alayed - Sensors (Basel, Switzerland), 2024 - pmc.ncbi.nlm.nih.gov
Sign language (SL) is a means of communication that is used to bridge the gap between the
deaf, hearing-impaired, and others. For Arabic speakers who are hard of hearing or deaf …
deaf, hearing-impaired, and others. For Arabic speakers who are hard of hearing or deaf …
A Brief Review of Sign Language Recognition Methods and Cutting-edge Technologies
J Wu, T Yang - 2024 5th International Conference on Computer …, 2024 - ieeexplore.ieee.org
Sign Language Recognition (SLR) has acquired a considerable amount of attentions in
recent years and attracted widespread interests. Sign language recognition methods have …
recent years and attracted widespread interests. Sign language recognition methods have …
[PDF][PDF] Optimized Hybrid Convolution Neural Network with Machine Learning for Arabic Sign Language Recognition.
The World Health Organization stated that the global population of hard of hearing
individuals is estimated to exceed 360 million people, and this number is continuously …
individuals is estimated to exceed 360 million people, and this number is continuously …