In our work, we do not consider these operators since we focus on defining more flexible point-convolutional layers, which are building blocks for several deep-learning solutions for point clouds. Graph Neural Networks. Point clouds can also be handled by Graph Neural Networks (GNNs) [37], [...
Forests are invaluable resources, and fire is a natural process that is considered an integral part of the forest ecosystem. Although fire offers several ecological benefits, its frequent occurrence in different parts of the world has raised concerns in
The increasing body of research has consistently demonstrated the intricate correlation between the human microbiome and human well-being. Microbes can impact the efficacy and toxicity of drugs through various pathways, as well as influence the occurrence and metastasis of tumors. In clinical practice, ...
Forests are invaluable resources, and fire is a natural process that is considered an integral part of the forest ecosystem. Although fire offers several ecological benefits, its frequent occurrence in different parts of the world has raised concerns in the recent past. Covering millions of hectares...
and progression mechanisms of microbe-related diseases, and provides new medical solutions for precision treatment, new drug development, and postoperative intervention. However, the number of proven microbial-disease associations is still far from meeting the demand. Therefore, it is necessary and ...
In this work we propose two solutions to the crowds tracking problem— with a box particle filtering approach and with a convolution particle filtering approach. The developed filters can cope with the measurement origin uncertainty in an elegant way, i.e. resolve the data association problem. ...
Metaheuristic algorithms are optimization algorithms that search for solutions by exploring a large search space and iteratively improving candidate solutions. They have the ability to handle NP-hard problems, which are computationally intractable problems that cannot be solved using exact methods, by provi...
August 6, 2024 28 min read The Math Behind Keras 3 Optimizers: Deep Understanding and Application This is a bit different from what the books say. Peng Qian August 17, 2024 9 min read Latest picks: Time Series Forecasting with Deep Learning and Attention Mechanism ...
modelswerealsoincorporatedintotheMBPCschemerecently[4,5,6].Thesesolutionsareoftentoo complextomakefastreal-wordimplementationbecauseoftheproblemsoffuzzymodelidentification andtherealisationofthecontrolalgorithm. Inordertosolvetheseproblems,theproposedmodellingapproachassumesthattheprocesscan adequatelybemodelledusingthecom...
Even so, this method requires enough marker pixels to train the classifier, which may be hard to obtain in practice. 2. Machine learning includes parametric methods and nonparametric methods. Parametric methods usually use the Gaussian mixture model or an estimation of the correlation betw- een a...