The explosive growth of data generated by artificial intelligence, cloud computing and modern digital infrastructure is ...
A deep reinforcement learning framework optimizes silicon-based photonic crystal fiber modulators, achieving ultra-low ...
Aerospace and Mechanical Insider on MSN
Multi-agent reinforcement learning driving smart factory agility
At the core of Industry 4.0, the smart factory integrates automation, mass customization, and self-organization into a highly ...
Abstract: Revealing the latent low-dimensional geometric structure of high-dimensional data is a crucial task in unsupervised representation learning. Traditional manifold learning, as a typical ...
Abstract: This article introduces a hierarchical learning (HL) framework for discrete-time (DT) systems with strict feedback structures to enable tracking control. Unlike the backstepping approach, ...
Blind text image super-resolution (SR) is challenging as one needs to cope with diverse font styles and unknown degradation. To address the problem, existing methods perform character recognition in ...
“I can’t learn from my current teacher! They don’t teach like you.” Earlier in my career, past students would come back to my class to share this sentiment with me, and initially this brought me a ...
3D point clouds are discrete samples of continuous surfaces which can be used for various applications. However, the lack of true connectivity information, i.e., edge information, makes point cloud ...
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