1 Lobachevsky State University of Nizhny Novgorod, The Institute of Biology and Biomedicine, Russia 2 Russian Academy of Sciences, Federal Scientific Research Centre "Crystallography and Photonics, ...

Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by making a Neural Network in Python from Scratch. We will not use any build in ...

Accurate and efficient crop row detection is essential for the visual navigation of agricultural machinery. However, existing deep learning–based methods often suffer from high computational costs, ...

This repository is organized into multiple subdirectories, where each subdirectory represents an independent project. Each project explores different neural network tools, techniques, or novel ideas ...

Abstract: Graph Neural Networks (GNNs) have gained popularity in numerous domains, yet they are vulnerable to backdoor attacks that can compromise their performance and ethical application. The ...

A simulation model for the digital reconstruction of 3D root system architectures. Integrated with a simulation-based inference generative deep learning model.

A project run by Eaton and NREL has developed a tool that can detect powerline faults otherwise difficult to detect, enabling utility companies to reduce the chance of both power outages and wildfires ...

Institute of Physics, Faculty of Physics, Astronomy and Informatics, Nicolaus Copernicus University, Grudziądzka 5, 87-100 Toruń, Poland ...

ABSTRACT: Background: Treatment-resistant depression (TRD) poses significant clinical challenges, with many patients inadequately responding to augmentation strategies like aripiprazole. Pramipexole, ...