Lung cancer remains the leading cause of cancer-related mortality worldwide. Early detection of pulmonary nodules is crucial for timely diagnosis and effective treatment.

Abstract: This study aims to compare the performance of two classification methods—Support Vector Machine (SVM) and Convolutional Neural Network (CNN)—in identifying music genres based on audio data ...

Abstract: Quantum Machine Learning (QML) has emerged as a promising frontier within artificial intelligence, offering enhanced data-driven modeling through quantum-augmented representation, ...

Abstract: This study presents a hybrid framework for detecting black leaf spot disease in oil palm seedlings caused by Curvularia infection by combining deep learning with classical machine learning ...

Cite as: {Henkel, M., Sprenger, M., and Lieleg, O., Machine learning for small data sets: an exemplary study on the classification of highly complex surface micromorphologies, unpublished work} The ...

Abstract: Brain tumors are the tenth most common type of tumor affecting people of all ages and are a leading cause of death in humans. However, early detection significantly enhances treatability.

Audie is joined by longtime friend and former NPR colleague Ari Shapiro for a special episode they’re calling Engagement Party – a chance to finally talk on-mic about the culture stories they’ve been ...

Learn how to create a fully functional mini Pepsi vending machine using cardboard in this detailed step-by-step tutorial. From building the dispensing and coin mechanisms to painting and branding, ...

Abstract: Data stream learning is an emerging machine learning paradigm designed for environments where data arrive continuously and must be processed in real time. Unlike traditional batch learning, ...

WASHINGTON – The U.S. Army has established a new career pathway for officers to specialize in artificial intelligence and machine learning (AI/ML), formally designating the 49B AI/ML Officer as an ...