This paper proposes an Encoder-Decoder neural network architecture with Attention Mechanism for solving the DRC-FJSSP using Deep Q-Learning. In the DRC-FJSSP the number of operations to schedule is ...

To effectively monitor and control the fermentation process, an accurate real-time measurement of important variables is necessary. However, given the complexity of microbial fermentation and the ...

Official implementation and desktop software for "Packing Input Frame Context in Next-Frame Prediction Models for Video Generation". Links: Paper, Project Page FramePack is a next-frame ...

This article presents a novel heuristic method named neural-network-driven prediction (NEED) for robot path planning problems. Different from classical heuristic methods, NEED is not designed for some ...

This is an extension of a demo at 14th Cellular Nanoscale Networks and Applications (CNNA) Conference 2014. I have written a blog post, available at Image Processing in CNN with Python on Raspberry Pi ...

What makes this development especially revolutionary in battery research is the integration of physics-informed principles into neural networks. Traditional neural networks are data-driven models that ...