Results 91 to 100 of about 20,260 (228)

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

What Difference Does Language Make? Comparing Systematic Evidence Reviews of Vietnamese and English Language Literatures on Climate Change and the Health of Outdoor Workers

Area, EarlyView.
Short Abstract This paper compares two systematic literature reviews—one in English and one in Vietnamese—to examine how language shapes the production and framing of knowledge on climate change and health. It highlights significant differences in methods, assumptions and policy framings, and argues that linguistic boundaries are not just technical ...
Anh Ngoc Vu, Jonathan Rigg, Felicity Kersting, Ekaterina Tarnovskaya, Loc Duc Nguyen   +4 more
wiley   +1 more source

Multimodal Fusion Based on LSTM and a Couple Conditional Hidden Markov Model for Chinese Sign Language Recognition

IEEE Access, 2019
A novel multimodal fusion approach is proposed for Chinese sign language (CSL) recognition. This framework, the LSTM2+CHMM model, uses dual long short-term memory (LSTM) and a couple hidden Markov model (CHMM) to fuse hand and skeleton sequence ...
Qinkun Xiao, Minying Qin, Peng Guo, Yidan Zhao   +3 more
doaj   +1 more source

American Sign Language Recognition System by Using Surface EMG Signal [PDF]

, 2015
Sign Language Recognition (SLR) system is a novel method that allows hard of hearing to communicate with general society. In this study, American Sign Language (ASL) recognition system was proposed by using the surface Electromyography (sEMG).
Savur, Celal
core   +1 more source

Too good to be true? A systematic literature review about the ambivalent consequences and managerial challenges of purpose implementation

European Management Review, EarlyView.
Abstract Corporate purpose has rapidly gained prominence in management literature and is considered a highly influential concept in business, promising to enable businesses' transformative power. While most existing studies highlight the positive outcomes of incorporating purpose into organizational frameworks, some research highlights negative ...
Nicole Steller, Guido Möllering
wiley   +1 more source

Skeleton-Based Data Augmentation for Sign Language Recognition Using Adversarial Learning

IEEE Access
In recent years, visual-based sign language recognition (SLR) has become an active research area with the advancement of deep learning. However, it is difficult to collect sign language data, and many datasets suffer from data lack and imbalance, leading
Yuriya Nakamura, Lei Jing
semanticscholar   +1 more source

Fine-tuning of sign language recognition models: a technical report

, 2023
Sign Language Recognition (SLR) is an essential yet challenging task since sign language is performed with the fast and complex movement of hand gestures, body posture, and even facial expressions. %Skeleton Aware Multi-modal Sign Language Recognition In
Milevich, Dmitriy, Murtazin, Ruslan, Novopoltsev, Maxim, Verkhovtsev, Leonid, Zemtsova, Iuliia   +4 more
core  

Analysis of the relationship between firm innovation and corporate social responsibility: A systematic literature review

European Management Review, EarlyView.
Abstract Firm innovation and corporate social responsibility (CSR) are key strategic considerations that shape a firm's competitiveness and sustainability. However, studies exploring the relationship between the two are heterogeneous and sometimes obtain contradictory results, making it difficult to draw clear conclusions.
Daniel Alonso‐Martínez, Laura Cabeza‐García, Santiago Mencías‐Calderón   +2 more
wiley   +1 more source

ConvAtt Network: A Low Parameter Approach For Sign Language Recognition

Journal of Computer Science and Technology
Despite recent advances in Large Language Models in text processing, Sign Language Recognition (SLR) remains an unresolved task. This is, in part, due to limitations in the available data.
Gaston Gustavo Rios, Pedro Dal Bianco, Franco Ronchetti, Facundo Quiroga, Santiago Ponte Ahón, Oscar Stanchi, Waldo Hasperué   +6 more
doaj   +1 more source

Supporting Communication for Deaf People with Sign Language Recognition Using Deep Learning Approach [PDF]

Sign language recognition (SLR) plays a crucial role in improving communication for deaf individuals. This paper investigates the recognition of sign language through deep learning models based on action features using Skeleton data from the Argentinian ...
Ho, Thien, Nguyen, Tra, Tran, Huy, Tran, Nha, Tran, Quyen   +4 more
core   +2 more sources