Results 71 to 80 of about 762 (197)

Scaling up ConvAtt for Sign Language Recognition [PDF]

Sign language is crucial for communication within the deaf community, making Sign Language Recognition (SLR) essential for bridging the gap between signers and non-signers.
Ronchetti, Franco, Quiroga, Facundo Manuel, Stanchi, Oscar Agustín, Dal Bianco, Pedro Alejandro, Ponte Ahón, Santiago Andrés, Ríos, Gastón Gustavo, Hasperué, Waldo   +6 more
core  

Exploratory Analysis of Sustainable Consumption and Production Factors in Services: Insights From Four Case Studies Using Interpretive Structural Modeling

Sustainable Development, EarlyView.
ABSTRACT This study investigates how 14 sustainable consumption and production (SCP) factors interact across four service categories—Mass Service, Professional Service, Service Factory, and Service Shop—using interpretive structural modeling (ISM). ISM enables the identification and hierarchical classification of interdependencies among SCP factors in ...
Amanda Duarte Feitosa, Fagner José Coutinho de Melo, André Philippi Gonzaga de Albuquerque, Naia Antunis de Rezende, Denise Dumke de Medeiros   +4 more
wiley   +1 more source

An Efficient Attention Model with Critical Frames Identification for Sign Language Recognition (CRAM-SLR)

Journal of Computational and Cognitive Engineering
Sign language recognition (SLR) plays a crucial role in enhancing communication accessibility for individuals who are deaf or hard of hearing. This paper introduces the convolutional recurrent attention model (CRAM), a novel deep learning framework specifically designed to improve recognition performance in low-resource sign languages such as Indian ...
Renjith Sasidharan, Aneesh Varghese, Manazhy Rashmi, Poorna S. Surendran   +3 more
openaire   +1 more source

Sign language number recognition

, 2008
Sign language number recognition system lays down foundation for handshape recognition which addresses real and current problems in signing in the deaf community and leads to practical applications.
Sandjaja, Iwan Njoto
core  

Fragmentation Across Scales, Geography, and Climate Challenges in European Urban Climate Change Adaptation and Mitigation Research: A Bibliometric and Systematic Review

Sustainable Development, EarlyView.
ABSTRACT European urban climate change research lacks integration across scales, geography, and climate challenges, despite Europe's coordinated policy frameworks. Through a hybrid bibliometric and systematic review of 1528 studies (2010–2025) using Cortext Manager and PRISMA 2020 guidelines, this study maps the conceptual patterns, knowledge gaps, and
Isabela Pichardo‐Velázquez, Richard Dean Morales, Antonino Marvuglia   +2 more
wiley   +1 more source

Attention-Based Sign Language Recognition Network Utilizing Keyframe Sampling and Skeletal Features

IEEE Access, 2020
Sign language recognition(SLR) is a multidisciplinary research topic in pattern recognition and computer vision. Due to large amount of data from the continuous frames of sign language videos, selecting representative data to eliminate irrelevant ...
Wei Pan, Xiongquan Zhang, Zhongfu Ye
doaj   +1 more source

A Structured Review of Research‐Informed Instructional Strategies to Support CPA Enabling Competencies in Future Accountants*

Accounting Perspectives, Volume 24, Issue 1, Page 189-249, March 2025.
ABSTRACT CPA enabling competencies underpin the human skills and professional values that all future accountants should possess. Nevertheless, to date, the discourse is limited within the scholarship of teaching and learning on how to best inculcate these competencies in future accountants.
Sanobar Siddiqui
wiley   +1 more source

Sign Languague Recognition without frame-sequencing constraints: A proof of concept on the Argentinian Sign Language

, 2023
Automatic sign language recognition (SLR) is an important topic within the areas of human-computer interaction and machine learning. On the one hand, it poses a complex challenge that requires the intervention of various knowledge areas, such as video ...
Ronchetti, Franco, Quiroga, Facundo Manuel, Lanzarini, Laura, Rosete, Alejandro, Estrebou, César   +4 more
core   +1 more source

Developing Predictive and Explainable Models for Cryptocurrency Delistings: A Case Study of Binance Exchange

Asia-Pacific Journal of Financial Studies, EarlyView.
Abstract This study develops an explainable machine learning model to predict cryptocurrency delistings using Binance data. It combines quantitative indicators (price, volume) with qualitative data from real‐time news and Reddit. Latent Dirichlet Allocation (LDA) is used to extract topic trends and community reactions, which are transformed into time ...
Sungju Yang, Hunyeong Kwon
wiley   +1 more source

Isolated Sign Language Recognition from RGB Video [PDF]

Sign Language Recognition (SLR) is a key task for breaking communication barriers for the deaf community. This thesis addresses major challenges in Isolated SLR (ISLR): data scarcity, complex motion modeling, and reliance on specialized sensors.
Sarhan, Noha
core