A team of scientists in the United States has combined both spatial and temporal attention mechanisms to develop a new approach for PV inverter fault detection. Training the new method on a dataset ...

Standard concurrent chemoradiotherapy (CCRT) for cervical cancer achieves disease-free survival (DFS) in approximately 70% of ...

CMS employed machine learning to probe rare Higgs decays into charm quarks. The search produced the most stringent limits so ...

Importance Ear disease contributes significantly to global hearing loss, with recurrent otitis media being a primary preventable cause in children, impacting development. Artificial intelligence (AI) ...

Scientists used a deep learning algorithm to map the size and location of nearly 94 million boulders on the lunar surface, highlighting differences in boulder densities and size distributions.

A new show, "Infinite Images" at the Toledo Museum of Art, traces the long history of algorithmic art from the 1960s to today.

These investigations employed several deep learning and machine learning models, showing promising outcomes in segmentation, classification, and recognition of different types of this cancer. 3 The ...

In the early morning hours of July 4, torrential rains triggered flash flooding in central Texas. At least 130 people were killed, including dozens of children who were at summer camps along the ...

Document image classification has a significant difficulty for the retrieval of digital documents and systems management in recent years. The main goal of this study is to investigate the ...

The main objective of this work is 1) to obtain images of coffee fruits during the mechanized harvesting process and 2) to use the YOLOv9 algorithm to identify and classify the degree of ripeness of ...

classify.py is the main python file that trains the model to recognise different types of bears by learning from images We use a neural network (CNN) here to look at 50-100 images of each type of bear ...