Extracting and analyzing relevant medical information from large-scale databases such as biobanks poses considerable challenges. To exploit such "big data," attempts have focused on large sampling ...

Liquid biopsies, which test body fluids that contain cancerous material, including circulating tumor DNA (ctDNA), are a noninvasive way to learn about a cancer's biology. However, technological ...

Mass General Brigham researchers are betting that the next big leap in brain medicine will come from teaching artificial ...

Beijing, Feb. 06, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...

The ESC-50 dataset is a labeled collection of 2000 environmental audio recordings suitable for benchmarking methods of environmental sound classification. The dataset consists of 5-second-long ...

music-classification/ ├── data/ │ ├── audio/ │ │ ├── classical/ │ │ ├── jazz/ │ │ ├── rock/ │ │ ├── pop ...

Abstract: Accurate classification of coffee leaf diseases is essential for early intervention and improved crop yield. However, training deep learning models for this task often requires large labeled ...

In an era of rapidly growing multimedia data, the need for robust and efficient classification systems has become critical, specifically the identification of class names and poses or styles. This ...

Abstract: Accurate fine-grained geospatial scene classification using remote sensing imagery is essential for a wide range of applications. However, existing approaches often rely on manually zooming ...

Urban transportation management increasingly relies on Intelligent Transportation Systems (ITS), where Vehicle Make and Model Recognition (VMMR) plays a vital role in surveillance, traffic monitoring, ...

ABSTRACT: This paper presents a comprehensive machine learning approach for credit score classification, addressing key challenges in financial risk assessment. We propose an optimized CatBoost-based ...