Comparisons of the performance of five text embedding models TF-IDF, Word2Vec, FastText, BERT, and GPT combined with five binary classification algorithms highlight the critical role of selecting appropriate embedding and classification models to enhance accuracy in semantically ambiguous sentence classification for th...
Sutriawan, S. Rustad, G. F. Shidik et al.· 8 citations
A redundancy-aware dual-attention architecture, termed ATSA-DenseNet, is proposed, which integrates the spatial branch of the Convolutional Block Attention Module (CBAM-Spatial) with Efficient Channel Attention within a DenseNet121 backbone.
A. Anton, S. Rustad, G. F. Shidik et al.· International Journal of Adv...· 0 citations
This review highlights the need for more temporally sensitive, context-specific, and resource-oriented research, and proposes an integrative framework to guide future research and support the design of healthier and sustainable digital workplaces.
Sharmila Rani Moganadas, Gerald Guan Gan Goh, Chew Sze Cheah et al.· Societies· 0 citations
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