Abstract: The world applications are transforming with the latest technologies in various fields. Artificial intelligence and machine learning models replaces the traditional methodologies due to ...
Abstract: Timely identification of fault-prone modules is essential for improving software quality, enhancing customer satisfaction, and optimizing testing efforts. This study explores fault ...
Henry Krumb School of Mines, Earth and Environmental Engineering Department, Columbia University, New York, New York 10027, United States ...
1 Centre Hospitalier Universitaire Vaudois (CHUV), Lausanne, Switzerland 2 Laboratory of Biomechanical Orthopaedics, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland The final, ...
Generative AI has gone from a curiosity to a cornerstone of enterprise productivity in just a few short years. From copilots embedded in office suites to dedicated large language model (LLM) platforms ...
A comprehensive machine learning project for classifying images of fruits and vegetables using Convolutional Neural Networks (CNNs). This project includes both a training pipeline and a web ...
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