Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Machine learning for health data science, fuelled by proliferation of data and reduced computational ...

aDepartment of Thoracic Surgery and Oncology, The First Affiliated Hospital of Guangzhou Medical University, China State Key Laboratory of Respiratory Disease & National Clinical Research Center for ...

Every once in a while, there comes a time when your garden's soil just can't keep up with your flowers' appetites. That is when many gardeners turn to Epsom salt. Mandevilla, dahlias, wisterias, and ...

The goal of a machine learning binary classification problem is to predict a variable that has exactly two possible values. For example, you might want to predict the sex of a company employee (male = ...

The Iris Flower Classification project is an interactive web application that predicts the species of Iris flowers based on their physical characteristics. This project demonstrates the complete ...

Abstract: Deep learning techniques are used widespread for image recognition and classification problems. Gradually, deep learning architectures have modified to comprise more layers and become more ...

Postpartum depression (PPD) is a common and serious mental health complication after childbirth, with potential negative consequences for both the mother and her infant. This study aimed to develop an ...

Advanced deep learning solution for flower classification using transfer learning with EfficientNet-B0. Achieves 90.23% accuracy on 102 flower species from Oxford Dataset. Lightweight (17.9MB) model ...