The Scientist

Postdoc Portrait: Denis Turcu Explores How Neural Circuit Constraints Shape Brain Function

Allen Institute and University of Washington postdoctoral researcher Denis Turcu uses computational models to study how the ...

New tool helps uncover rare genetic mutations in common diseases, including Parkinson's

Studies of genetics conducted in yeast cells, human neurons, mice or other model systems often reveal networks of genes that ...

Inside Elon Musk’s AI Ecosystem: How xAI, Tesla, X, Neuralink, and SpaceX Are Converging

Elon Musk’s AI ecosystem spans xAI, Tesla, X, Neuralink, and SpaceX, connecting chatbots, robots, brain implants, and spacecraft.
GitHub

Through-the-Wall Radar Human Activity Recognition WITHOUT Using Neural Networks

This paper is dedicated to the memory of my grandma. This is probably the only paper in my life that was written in a hospital the entire time. This is also at the same time the very first work in my ...
Scientific Research Publishing

Research on Structural Damage Identification Method Based on Convolutional Neural Network ()

1 College of Finance and Commerce, Guangzhou Railway Polytechnic, Guangzhou, China. 2 School of Intelligent Construction and Civil Engineering, Zhongyuan University of Technology, Zhengzhou, China. 3 ...
IEEE

Neural Network-Based Lower Limb Prostheses Control Using Super Twisting Sliding Mode Control

Abstract: This paper presents a method for controlling the prosthetic leg using surface Electromyography (sEMG) signals, Artificial Neural Network (ANN), and Super Twisting Sliding Mode Control ...
LinkedIn

Heat Transfer Modeling: Tools, AI Integration, MATLAB Implementation, and Applications

Heat transfer, encompassing conduction, convection, and radiation, is a fundamental physical process critical to engineering, environmental science, and materials development. Modeling heat transfer ...
Nature

Prediction of COD in industrial wastewater treatment plant using an artificial neural network

In this investigation, the modeling of the Aksaray industrial wastewater treatment plant was performed using artificial neural networks with various architectures in the MATLAB software. The dataset ...
IEEE

Implementation of Neural Network Control in a Nonlinear Plant Using MATLAB

Abstract: In modern control theory, there are several variations to different controller designs. The same can be said for Neural Network (NN) Controllers. The goal of this paper is to implement a ...
Scientific Research Publishing

Leveraging Pima Dataset to Diabetes Prediction: Case Study of Deep Neural Network ()

Laboratory of Data Science and Digital Inclusion, Institut de Mathématiques et de Sciences Physiques, Université d’Abomey-Calavi, Abomey-Calavi, Bénin. Diabetes is a chronic disease. In 2019, it was ...
InfoQ

Building Neural Networks with TensorFlow.NET

TensorFlow is an open-source framework developed by Google scientists and engineers for numerical computing. TensorFlow.NET is a library that provides a .NET Standard binding for TensorFlow, allowing ...
Frontiers

Using the FA-NAR Dynamic Neural Network Model and Big Data to Monitor Dam Safety

In view of the dynamics of the dam safety monitoring data, the sensitivity to time and space, and the nonlinearity, it has been proposed to use the firefly algorithm to search to determine the delay ...