Results 61 to 70 of about 20,260 (228)
Two-Stream Network for Sign Language Recognition and Translation
Sign languages are visual languages using manual articulations and non-manual elements to convey information. For sign language recognition and translation, the majority of existing approaches directly encode RGB videos into hidden representations.
Chen, Yutong +5 more
core
Abstract Heart failure (HF) creates a considerable clinical, humanistic and economic burden on patients and caregivers as well as on healthcare systems. To attenuate the significant burden of HF, there is a need for enhanced management of patients with HF.
Javed Butler +8 more
wiley +1 more source
An Efficient Hybrid Attention-Guided Frame-Wise Temporal Reasoning for Sign Language Recognition
Sign Language Recognition (SLR) plays a crucial role in enabling inclusive communication by translating sign gestures into spoken or written language.
S. Renjith, Aneesh Varghese
doaj +1 more source
Sri Lanka Country Profile [PDF]
[From Introduction] This country study for Sri Lanka is part of the ILO project \u27Employment of People with Disabilities – the Impact of Legislation\u27 which aims to enhance the capacity of national governments in selected countries of Asia and East ...
InFocus Programme on Skills, Knowledge and Employability +1 more
core +1 more source
A STUDY OF WORLDWIDE PATTERNS IN ALPHABET SIGN LANGUAGE RECOGNITION USING CONVOLUTIONAL AND RECURRENT NEURAL NETWORKS [PDF]
Sign Language Recognition (SLR) has become an essential area of research due to its potential to promote understanding between the deaf and hearing communities through communication.
Rakhmadi, Aris +2 more
core +2 more sources
ABSTRACT This study aims to classify pivotal fintech innovations and explore the prospects and pitfalls associated with emerging fintech services extensively discussed in the literature. We conducted a multistage systematic review of research published on fintech over the past decade from a technological perspective. Using the Preferred Reporting Items
Muhammad Imran Qureshi, Nohman Khan
wiley +1 more source
Cross Attentive Multi-Cue Fusion for Skeleton-Based Sign Language Recognition
Sign language, the primary communication medium of the Deaf, uses visual cues from upper body, hands, and face. Sign Language Recognition (SLR) aims to learn salient representations from these cues to bridge the communication gap between Deaf and hearing
Ogulcan Ozdemir +2 more
doaj +1 more source
Huge datasets are important to build powerful pipelines and ground well to new images. In Computer Vision, the most basic problem is image classification. The classification of images may be a tedious job, especially when there are a lot of amounts.
Irma Permata Sari
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
Toward better public health reporting using existing off the shelf approaches: The value of medical dictionaries in automated cancer detection using plaintext medical data [PDF]
Objectives Existing approaches to derive decision models from plaintext clinical data frequently depend on medical dictionaries as the sources of potential features.
Dixon, Brian E. +6 more
core +1 more source

