Launched at an exclusive VIP event in Baku, ODUN.ONE marks the industry's shift from Deep Packet Inspection to Deep ...
Consumer unmanned surface vessels (USVs) are key robotic platforms that aid efficient aquatic operations. The applications include oceanographic exploration, maritime defense, and environmental ...
An ocean-mining company has funded some of the most comprehensive scientific studies of the deep seabed to date, and peer-reviewed results have begun to emerge. A collage of foraminifera, a kind of ...
The 70-meter antenna, designated DSS-14, at the Deep Space Network site in Goldstone, California. Credit: NASA WASHINGTON — One of the largest antennas in NASA’s Deep Space Network was damaged in ...
1 Chester F. Carlson Center for Imaging Science, Rochester Institute of Technology, Rochester, NY, United States 2 Department of Electrical and Computer Engineering, The University of Texas Rio Grande ...
A team of astronomers led by Michael Janssen (Radboud University, The Netherlands) has trained a neural network with millions of synthetic black hole data sets. Based on the network and data from the ...
ABSTRACT: Offline reinforcement learning (RL) focuses on learning policies using static datasets without further exploration. With the introduction of distributional reinforcement learning into ...
Finding the shortest path in a network is a classical problem, and a variety of search strategies have been proposed to solve it. In this paper, we review traditional approaches for finding shortest ...
The TLE-PINN method integrates EPINN and deep learning models through a transfer learning framework, combining strong physical constraints and efficient computational capabilities to accurately ...
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