Glaciers carved the deep valleys of Banff, eroded Ontario to deposit the fertile soils of the Prairies, and continue to ...

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This is a valuable computational study of odor responses in the early olfactory system of insects and vertebrates. The study addresses the question of how information about odor concentration is ...

A machine learning model developed to predict 5-year survival in stage III colorectal cancer patients highlights key ...

Machine learning models showed strong predictive performance for 5-year survival in stage III colorectal cancer patients, with AUC values between 0.766 and 0.791. Key prognostic factors identified ...

Sai Krishna's work in text mining has earned him well-deserved recognition within his organization. His development of an ...

Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable can only take binary values. Some real world examples where Logistic ...

However, it has also raised concerns regarding security and the procedures of network swaps, more known as handovers. This paper proposes using machine learning in 5G mobile networks, employing a ...

Logistic Regression is a fundamental machine learning algorithm used for binary classification tasks. In the context of lung cancer prediction, Logistic Regression analyzes the relationship between ...

In the second part of the analysis, three machine learning models—Logistic Regression, Random Forest, and XGBoost—were implemented for predictive performance. Logistic Regression outperformed others ...