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24 articles for “Text Clustering”
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CHROMAWEAR: An AI Assisted Personalized Fashion Design Recommender System for Diverse Skin Tones to Enhance Fashion Choices
Abstract: In the age of fashion, we receive the same question every day: What should I wear today to look nice? The fashion industry is always changing, welcoming inclusivity and diversity. Still, despite the advancements, there are difficulties meeting people's varied needs, especially with regard to skin tone. This research work presents a personalized fashion design recommender system with artificial intelligence support to improve the fashion choices of people with different …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 2, 2024 · pp. 49–58 Read article
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Term Frequency Inverse Document Frequency
Abstract: Recent advances in computers and technology have resulted in an ever increasing set of documents that will be difficult and time-consuming for the user to retrieve useful information from them. The need is to find a set of data of high relevance from the given document. In this paper, we will apply Term Frequency Inverse Document Frequency (TF-IDF) to determine what set of words in a collection of written text …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 7, Issue 1, 2020 · pp. 1–6 Read article
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Phishing Website Detection
Abstract: As another type of malevolent software, phishing websites show up much of the time as of late, which cause extraordinary damage to online budgetary administrations and information security. In this paper, we plan and execute an insightful model for recognizing phishing sites. In this model, we remove 10 distinct kinds of highlights, for example, title, watchword and connection text data to speak to the site. Heterogeneous classifiers are then assembled …
Published in Journal of Advances in Shell Programming · Vol. 7, Issue 2, 2020 · pp. 6–10 Read article
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Modulation of Receptor Proteins: A Recent Paradigm in Drug Discovery and Target
Abstract: The main aim in drug discovery is to design different ligands those work on specific drug targets. However, various effective drugs work through the modulation of many proteins than single target. Advancement in system biology are establishing a phenotypic strength and a network structure, which suggests that, the excellent selective compounds may be performed less than desired clinical efficacy in comparison to multi-target drugs. In this new appreciation of the …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 5, Issue 1, 2018 · pp. 14–24 Read article