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 ...
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 ...
Nature

Predicting postoperative pain following root canal treatment by using artificial neural network evaluation

This study aimed to evaluate the accuracy of back propagation (BP) artificial neural network model for predicting postoperative pain following root canal treatment (RCT). The BP neural network model ...
Frontiers

Anti-Sway and Positioning Adaptive Control of a Double-Pendulum Effect Crane System With Neural Network Compensation

Cranes are widely used in the field of construction, logistics, and the manufacturing industry. Cranes that use wire ropes as the main lifting mechanism are deeply troubled by the swaying of heavy ...
Quanta Magazine

Symbolic Mathematics Finally Yields to Neural Networks

More than 70 years ago, researchers at the forefront of artificial intelligence research introduced neural networks as a revolutionary way to think about how the brain works. In the human brain, ...