Artificial intelligence has just turned one of astronomy’s most familiar workhorses into a discovery engine all over again.

For example, a Convolutional Neural Network (CNN) trained on thousands of radar echoes can recognize the unique spatial signature of a small metallic fragment, even when its signal is partially masked ...

Remarkably, human brains have the ability to accurately perceive and process the real-world size of objects, despite vast differences in distance and perspective. While previous studies have delved ...

School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu Rigorous urbanization leads to unprecedented climate change. Pune area in India has witnessed recent ...

Abstract: Drone-view object detection (DroneDet) is a computer-vision method for locating objects and predicting their categories in aerial images. Popular methods are often plagued by high energy ...

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM ...

Abstract: In recent years, with the emergence of convolutional neural networks, object detection technology has made rapid progress. However, object detection in remote sensing images remains a ...

Event-based cameras are sensors inspired by the human eye, offering advantages such as high-speed robustness and low power consumption. Established deep learning techniques have proven effective in ...

The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acs.jcim.5c01525. Efficiency analysis of different normalization strategies ...