The digital transformation of organic agriculture through Artificial Intelligence (AI) holds significant promise for enhancing sustainability, productivity, and resilience in farming systems. However, rural communities, particularly in developing regions, face persistent infrastructural limitations that impede the adop...
C. P. Pratiwi, S. Prasetyaningtyas, B. Jabar et al.· International Conferences on...· 0 citations
The food and beverage industry in Jakarta has been influenced by online reviews via digital platforms such as Google Maps, necessitating sentiment analysis in the automated way. Manual analysis of sentiment in the text is unfeasible, whereas models find it difficult to identify localized linguistic phenomena (slang, co...
Sean Spencer, Samuel Rafin Djunaidi, Juan Jonathan Suparmo et al.· International Conferences on...· 0 citations
In recent years, previous studies indicate a shift from Generative Adversarial Networks (GANs) to diffusion-based models, which exposed some limitations to traditional AI-generated face or image detectors. Some of these detectors are known to struggle in generalising beyond generators they were trained on. This study t...
Gabriel Tanod, J. Silalahi, B. Jabar· 2026 International Conferenc...· 0 citations
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