[52]. Examples ofdeep learningapplications inmicrogridsincludemicrogridmanagement, improving microgrid performance, optimal load transmission, load forecasting, and real-timeenergy management[53,54]. Moreover, DL has a significant impact on microgrids in many aspects. As mentioned in [55], the ...
Building-Detection -> Raster Vision experiment to train a model to detect buildings from satellite imagery in three cities in Latin America Multi-building-tracker -> Multi-target building tracker for satellite images using deep learning Boundary Enhancement Semantic Segmentation for Building Extraction ...
SATIN: A persistentmusical database for music information retrieval and asupporting deep learning experiment on song instrumentalclassification. Multimed. Tools Appl. 2019, 78, 2703–2718. [Google Scholar] [CrossRef] Chua, T.J.; Yu, W.; Zhao, J. Resource Allocation for Mobile Metaverse with ...
Dive-into-DL-PyTorch 9.6k 本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。 stanford-tensorflow-tutorials 9.6k This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research. horovod 9.6k Distributed training framework for ...
+1 Drum machine AI experiment Yet another Google AI experiment. The experiment itself might not be running any deep learning model, that is why it is not counted. But it is so cool that I cannot help but put it here. It allows you to build your drum machine with daily sounds like dog...
This work emphasizes the power of deep learning in precluding degradation experiments and highlights the promise of rapid development of battery management algorithms for new-generation batteries using only previous experimental data.Similar content being viewed by others Physics-informed neural network for ...
Accurate recognition of agricultural pests is crucial for effective pest management and reducing pesticide usage. In recent research, deep learning models based on residual networks have achieved outstanding performance in pest recognition. However, challenges arise from complex backgrounds and appearance chan...
This deep dreaming technique has been used by a group of researchers from the university of Sussex, to create a hallucination Machine which allows users to experience psycho-pathological conditions or psychoactive substances through a virtual reality. This successful experiment further opens up possibiliti...
plant morphology the weed recognition challenge will be simpler than those where the crop and weed plants are very similar. The majority of previous weed recognition methods were based on conventional computer vision and machine learning techniques in both colour and multispectral imagery. These ...
The use of machine learning techniques has been proven to be a viable solution for smart home energy management. These techniques autonomously control heating and domestic hot water systems, which are the most relevant loads in a dwelling, helping consumers to reduce energy consumption and also impr...