In this study, a multimodal multi-objective evolutionary algorithm based on deep reinforcement learning (DRL) and large neighborhood search (LNS), called MMOEA-DL, is proposed to solve MRTA problems.

Deep learning, although having witnessed remarkable success in computer vision tasks, still remains underexplored for the multi-view labelling task, due to the lack of labelled multi-view datasets. In ...

Your guide to what the 2024 US election means for Washington and the world Donald Trump relished the thought that his return to the White House would give him the power to take down the “deep ...

Transfer learning employs machine learning techniques through which models built specifically for a particular task are suitably adjusted to fit another assignment. Resnet18, DenseNet121, and ...

College of Computer Science and Engineering, Changchun University of Technology, North Yuanda Street No. 3000, Jilin 130012, China ...

The goal is to inject political loyalists deep into the workings of government, perhaps more so that any other recent president. In a harbinger of what may lie ahead, Trump's team has requested ...

That’s led some to search for them in some pretty wild places. And few places are as outlandish as the ocean deep. But deep-sea mining appears poised to get a boost from the incoming Trump ...

A deep learning pipeline for controlling protein interactions. ScienceDaily . Retrieved February 8, 2025 from www.sciencedaily.com / releases / 2025 / 01 / 250116133809.htm ...

Other feature highlights include an X/Y pad with a fun virtual physics engine, which can be used for creative modulation, a multitude of modelled filter types, flexible effects and a deep multi-lane ...

Anthony Patti, 37, of Providence, faces multiple firearms and drug charges following his arrest by the HIDTA Task Force. Charges include possession of altered firearms and intent to deliver various ...