This paper proposes a new method of using the sine principle combined with the fuzzy degree of nearness to identify the short circuit current and inrush current of transformers.Under transformer internal and external faults,the three-phase current is mainly sinusoidal.However,the inrush current is ...
Research Paper Recommendation System using Transformer ModelNayse, Snehal S.Deshmukh, Pratiksha R.Grenze International Journal of Engineering & Technology (GIJET)
Research paper:Diffusion Models Beat GANS on Image Synthesis. For a deep-dive into the Denoising DIffusion Probabilistic Model (DDPM) introduced in the paper, check out the following Youtube video:DDPM – Diffusion Models Beat GANs on Image Synthesis (Machine Learning Research Paper Explained) Where...
content typepaper|research areaComputer Vision|Published year2024 AuthorsAleksei Bochkovskii, Amaël Delaunoy, Hugo Germain, Marcel Santos, Yichao Zhou, Stephan R. Richter, Vladlen Koltun On the Limited Generalization Capability of the Implicit Reward Model Induced by Direct Preference Optimization ...
1. During data acquisition, the Hall current transformer transmits the collected current signal to the upper computer for data recording through the acquisition card. Figure 2 Experimental platform. Full size image The experiment in this paper was carried out under the current frequency of 50 Hz,...
Research on transformer fault diagnosis method and calculation model by using fuzzy data fusion in multi-sensor detection system - ScienceDirect In order to achieve the failure of unattended power network equipment, this paper proposes a new transformer fault diagnosis method by using multi band inf....
If you used the latestrtdl==0.0.13installed from PyPI (not from GitHub!) aspip install rtdl, then the same models (MLP, ResNet, FT-Transformer) can be found in thertdl_revisiting_modelspackage, though API is slightly different.
This paper proposes the Ra-RC model, which combines radical features and a deep learning structure to fix this problem. A bidirectional encoder representation of transformer (RoBERTa) is utilized to learn medical features thoroughly. Simultaneously, we use the bidirectional long short-term memory (...
RVT: Robotic View Transformer for 3D Object Manipulation Ankit Goyal, Jie Xu, Yijie Guo, Valts Blukis, Yu-Wei Chao, Dieter Fox Conference on Robot Learning (CoRL) 2023SCONE: A Food Scooping Robot Learning Framework with Active Perception Yen-Ling Tai, Yu Chien Chiu, Yu-Wei Chao, Yi-Ting...
For better efficiency, enable distributed training by --distributed argument, which can run on multiple nodes. Adaptive Attention Span This code can be used for running experiments in Adaptive Attention Span for Transformers paper. The adaptive span allows a model to learn an optimal context size ...