Results 71 to 80 of about 551 (165)
This study presents a comprehensive review of more than 100 research papers on sign language recognition (SLR) published between 2020 and 2026. The analysis focuses on deep learning approaches applied to video-based SLR, including spatiotemporal feature ...
Ulmeken Berzhanova +6 more
doaj +1 more source
Neurophysiological Methods in Accounting and Finance
ABSTRACT Recent advances in neuroscience have made neurophysiological methods increasingly accessible, creating a timely opportunity to rethink how accounting and financial decisions are studied. Yet accounting and finance research has been slow to exploit its full potential.
Gaia Bassani, Silvio Vismara
wiley +1 more source
Sign language recognition (SLR) is an important communication tool between the deaf and the external world. It is highly necessary to develop a worldwide continuous and large-vocabulary-scale SLR system for practical usage.
Juan Cheng +3 more
doaj +1 more source
Abstract Objectives Psychological formulation helps to develop an understanding of an individual's experiences and how they make sense of these. There is limited research around staff's perspectives of psychological formulation within the Children and Young People Secure Estate (CYPSE).
Amy Toolis +3 more
wiley +1 more source
Real-Time Norwegian Sign Language Recognition Using MediaPipe and LSTM
The application of machine learning models for sign language recognition (SLR) is a well-researched topic. However, many existing SLR systems focus on widely used sign languages, e.g., American Sign Language, leaving other underrepresented sign languages
Md. Zia Uddin +2 more
doaj +1 more source
Abstract The physiological adaptations of long‐term high‐altitude residents without high‐altitude genetic ancestry remain poorly characterized. This study investigated whether permanent residence at low altitude (1200 m) influences performance at higher altitude (2500 m). We compared exercise responses at 2500 m in endurance‐trained athletes living for
Fabienne Durand +2 more
wiley +1 more source
Integrating the CNN Model with the Web for Indonesian Sign Language (BISINDO) Recognition
Effective communication is challenging for deaf individuals in Indonesia, most of whom use Indonesian Sign Language (BISINDO). Sign Language Recognition (SLR) can bridge this communication gap.
Enisda Libra Kelana +3 more
doaj +1 more source
Overview of AI‐powered surveillance technologies, applications, challenges, limitations, and deployment considerations. ABSTRACT Artificial intelligence (AI) has rapidly transformed smart surveillance systems, significantly leveraging technologies such as deep learning, computer vision, and adaptive monitoring.
Tanzila Kehkashan +7 more
wiley +1 more source
Sign language recognition (SLR) contains the capability to convert sign language gestures into spoken or written language. This technology is helpful for deaf persons or hard of hearing by providing them with a way to interact with people who do not know
Hadeel Alsolai +5 more
doaj +1 more source
ABSTRACT The N‐acylhydrazone scaffold is recognized as a privileged structure for the design of bioactive substances with increasing applications in medicinal chemistry research. Ensuring the safety of newly developed molecules is a critical step for both human health and environmental protection. Accordingly, this study aimed to evaluate the cytotoxic
Larissa Ribeiro Canuto Santos +4 more
wiley +1 more source

