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Sign language interpreting
Sign language interpreting is currently experiencing an unprecedented level of attention even though the profession has already been taught for more...
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Making a Diner with a Rotating Sign
With the knowledge and programming skills you have gained in the previous chapters, you are ready to create your first complete mod. In this chapter,...
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Handling of Simultaneous Morphology of Sign Languages: Concerns for Cross-modal Machine Translation of Marathi to Indian Sign Language
Effective communication can be challenging when individuals are unfamiliar with each other's spoken language. This problem becomes more complex when...
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Real-Time Isolated Sign Language Recognition
Various researchers have proposed models with high recognition rates for sign language recognition. Moreover, with the improvement of GPU processing...
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An extensive study of the effects of different deep learning models on code vulnerability detection in Python code
Deep learning has achieved great progress in automated code vulnerability detection. Several code vulnerability detection approaches based on deep...
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Occlusion robust sign language recognition system for indian sign language using CNN and pose features
The Sign Language Recognition System (SLRS) is a cutting-edge technology that aims to enhance communication accessibility for the deaf community in...
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Techniques for Generating Sign Language a Comprehensive Review
Sign verbal is an important communication medium regarding the community of Deaf and Hard of Hearing, and advances in sign language generation...
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Steganographic Method with Code Control of Information Embedding Based on Multi-level Code Words
AbstractEffective steganographic methods are an integral part of modern information security systems. At the same time, one of the key requirements...
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An exploratory evaluation of code smell agglomerations
Code smell is a symptom of decisions about the system design or code that may degrade its modularity. For example, they may indicate inheritance...
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Scaling Up Sign Spotting Through Sign Language Dictionaries
The focus of this work is sign spotting –given a video of an isolated sign, our task is to identify whether and where it has been signed in a...
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A complementary binary code based phase unwrap** method
Phase unwrap** is used to establish the map** relationship between camera and projector, which is one of the key technologies in fringe...
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A Security Analysis on MQ-Sign
MQ-Sign is a variant of the UOV signature scheme proposed by Shim et al. It has been suggested as a candidate for the standardization of post-quantum...
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Sign Language Classification Using Deep Learning Convolution Neural Networks Algorithm
An individual experiencing hearing impairment faces a persistent challenge when it comes to person-to-person interactions. Sign language has...
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A unified approach for continuous sign language recognition and translation
Sign language recognition (SLR) is an emerging technology that shows potential in facilitating communication between the deaf and the hearing people....
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Photonic radar for contactless vital sign detection
Vital sign detection is used across ubiquitous scenarios in medical and health settings, and contact and wearable sensors have been widely deployed....
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Sign language : a systematic review on classification and recognition
Sign language serves as an alternative communication mode for those with limitations in hearing and speaking abilities. In India, an estimated...
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Alleviating data insufficiency for Chinese sign language recognition
Continuous Chinese sign language recognition (CCSLR) methods have shown their strong ability to learn excellent model architectures from datasets....
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Investigating the readability of test code
ContextThe readability of source code is key for understanding and maintaining software systems and tests. Although several studies investigate the...
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Does code review speed matter for practitioners?
Increasing code velocity is a common goal for a variety of software projects. The efficiency of the code review process significantly impacts how...
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Automation of Software Code Analysis Using Machine Learning Methods
AbstractThe paper presents a description of the developed approach and service for the intelligent analysis of source code in Python. The service...
