Titlebook: Big Data Analytics in Astronomy, Science, and Engineering; 11th International C Shelly Sachdeva,Yutaka Watanobe Conference proceedings 2024

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,Équations aux dérivées partielles, of machine learning models, including Decision Trees, Random Forests (RF), Naive Bayes, K-Nearest Neighbors, Gradient Boosting, AdaBoost, Logistic Regression, and Support Vector Machines (SVM) for comment classification. Furthermore, fundamental voting techniques such as Hard-Voting, Averaging, and

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Introduction aux méthodes numériquesThis paper discusses a method for vector based scenario search using a natural language interface for describing traffic scenarios. We first generate textual descriptions of snapshots of traffic scenarios captured from instrumenting vehicles using image captioning libraries. Next, we create vector e

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Introduction aux méthodes numériquesing, and the second is AQI reduction. AQI Monitoring covers sensing particulate matter (PM), PM2.5, PM10, NO2, and CO and performing analysis over the AQI data before, during, and following Agnihotra (Yagya). According to analysis, there is an approximate 6–7% decrease in CO levels and an approximat

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Topic Modeling Applied to Reddit Posts Reddit, their volume is vast and, typically, only a small subset of posts is studied. To overcame problem of data size, topic modeling can be applied, to extract the main ideas from the documents. However, as it will be shown, different modeling techniques may produce very different results. Specif

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Twitter Sentiment Analysis in Resource Limited Languageuse of existing models which are primarily pre-trained on English. Therefore, previous approaches have focused on building language-specific models for non-English languages. In this work, we investigate the efficacy of low resource language specific models (like GreekBERT) and compare their perform

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Querying Healthcare Data in Knowledge-Based Systemsenges in querying healthcare data lie in the complexity of extracting meaningful insights from vast and heterogeneous datasets. EHRs store different forms of data, and query systems’ scalability and performance, especially considering the increasing volume of EHR data, are the main challenges faced.

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