Accurate and efficient traffic speed prediction is crucial for improving road safety and efficiency. With the emerging deep ...

A new study published in Scientific Reports has introduced a promising diagnostic tool that could dramatically shorten the ...

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 framework ...

As online news grows exponentially, hotspot classification is becoming increasingly important. Although traditional machine learning-based text classification methods, such as plain Bayes, support ...

Today, lung tumors is the major cause of malignancy death. Doctors use the CT scan, x-ray, and manual method for lung nodule detection and diagnosis. However, such methods fail to correctly classify ...

Background: The implementation of deep learning models for medical image classification poses significant challenges, including gradual performance degradation and limited adaptability to new diseases ...

In this paper, we demonstrated a new method of deep-learning-based classification for neuroscience data, paired trial classification (PTC). Rather than using a DNN to classify a trial's category ...