This project is a Deep Learning-based Streamlit web application that detects plant diseases from leaf images using a Convolutional Neural Network (CNN). It provides real-time predictions with ...
Abstract: In this paper, we propose a model of a parameter estimator filter for Black Box-type Stochastic Systems (BBSS), that is, only its inputs and outputs are known; considering its intrinsic ...
Abstract: Graph neural networks (GNNs) have become the prevailing methodology for addressing graph data-related tasks, permeating critical domains like recommendation systems and drug development. The ...
Existing methods use flat enviornments to conduct the graph invariant learning. There are two limitations in flat environment infernece: Provided (Real): neglect local similarity among the numerous ...
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