… We present a deep CNN for point source detection called DeepSource, which is able to learn
… is able to successfully detect fainter sources. We compare DeepSource to the Python Blob …

… We then explored training with multiple sources and two types of acoustic receivers and
achieved similar success with detecting point sources. Networks trained with simulated data …

… neural networks, we propose to leverage the power of deep learning models to automatically
learn a VP detector. Our … to estimate vanishing point adapted from deep learning. We train a …

… source localization researches using machine learning are based on conventional classifiers
or shallow feed-forward neural networks (… test point source of a search grid. When the test …

… future, we apply a deep learning source detection network built on YOLO v4 object detection
framework to detect sources and design a new deep learning classification network named …

… In this paper, we have evaluated the use of Deep Learning methods to deal with multi-source
data (… on a problem of detection and localization of urban trees in multi-source aerial data. …

… machine learning and deep learning were evaluated in this study. First, the model is constructed
using multisource satellite imagery and geospatial point … approach to detect rural areas …

… it is used in contaminant source parameters identification in emergency … machine learning
algorithm (MLA) models such as artificial neutral network(ANN) and support vector machine (…

… to automatically detect scattering points in the migration dip angle domain using deep learning.
By taking … Convolutional neural networks are a class of deep learning algorithms able to …

… multi-source deep learning. We also propose a new multi-source deep learning strategy that
… level fusion strategies to improve object detection accuracy from semantically enriched data …