EurekAlert!

As worms and jellyfish wriggle, new AI tools track their neurons

Three new neural network-based tools enable fast, accurate alignment and annotation of images even in very wiggly subjects.
Scientific Research Publishing

Hinton, G.E. and Salakhutdinov, R.R. (2006) Reducing the Dimensionality of Data with Neural Networks. Science, 313, 504-507.

ABSTRACT: With the deepening of oil and gas exploration, the exploration targets have gradually shifted from structural oil and gas reservoirs to lithological oil and gas reservoirs. The fluvial ...
Hosted on MSN

Deep neural network from scratch in Python – fully connected feedforward tutorial

Learn how to build a fully connected, feedforward deep neural network from scratch in Python! This tutorial covers the theory, forward propagation, backpropagation, and coding step by step for a hands ...
Scientific Research Publishing

Research on the Identification Method of Fluvial Sandstone Reservoirs Based on U-Net Networks ()

With the deepening of oil and gas exploration, the exploration targets have gradually shifted from structural oil and gas reservoirs to lithological oil and gas reservoirs. The fluvial sandstone ...
Frontiers

Analysis of breast region segmentation in thermal images using U-Net deep neural network variants

1 IoT and Wireless Communication Protocols Laboratory, Department of Electrical and Computer Engineering, International Islamic University Malaysia (IIUM), Kuala Lumpur, Malaysia 2 Faculty of Computer ...
The Aviationist

Norway Takes Control of U.S. Network-Enabled GBU-53s Launched by F-15Es During Test

The groundbreaking test saw Norwegian soldiers take control of two GBU-53 glide bombs released by two F-15Es and direct them towards the target. The Norwegian Armed Forces disclosed a recent military ...
IEEE

Benchmarking Artificial Neural Networks and U-Net Convolutional Architectures for Wildfire Susceptibility Prediction: Innovations in Geospatial Intelligence

Abstract: Effective wildfire susceptibility mapping (WfSM) is critical for managing forest fire risks, especially in vulnerable regions like Lamington National Park, Queensland, Australia. This study ...
Frontiers

MSGU-Net: a lightweight multi-scale ghost U-Net for image segmentation

U-Net and its variants have been widely used in the field of image segmentation. In this paper, a lightweight multi-scale Ghost U-Net (MSGU-Net) network architecture is proposed. This can efficiently ...