Smart home with neural network based object detection by Agyan Panda, Sheila Maria Muniz

Subjects: Get full text

Application of Chaos and Neural Network in Power Load Forecasting by Li Li, Liu Chong-xin

“…The results show that the model in this paper is more effective than classical standard BP neural network model.…”
Get full text

Klasifikasi Ekspresi Wajah Menggunakan Covolutional Neural Network by Ahmad Taufiq Akbar, Shoffan Saifullah, Hari Prapcoyo

“…Penelitian ini mengusulkan arsitektur sederhana Convolutional Neural Network (CNN) untuk meningkatkan efisiensi klasifikasi emosi pada dataset kecil. …”
Get full text

Noise-resilient designs and analysis for optical neural networks by Gianluca Kosmella, Ripalta Stabile, Jaron Sanders

Subjects: Get full text

Comparison of neural networks for suppression of multiplicative noise in images by V.A. Pavlov, A.A. Belov, V.T. Nguen, N. Jovanovski, A.S. Ovsyannikova

Subjects: Get full text

An Enhanced Deep Neural Network for Predicting Workplace Absenteeism by Syed Atif Ali Shah, Irfan Uddin, Furqan Aziz, Shafiq Ahmad, Mahmoud Ahmad Al-Khasawneh, Mohamed Sharaf

“…The efficacy of the proposed method is tested with traditional machine learning techniques, and the results indicate 90.6% performance in Deep Neural Network as compared to 73.3% performance in a single-layer Neural Network and 82% performance in Decision Tree, SVM, and Random Forest. …”
Get full text

ON APPLICATION OF ARTIFICIAL NEURAL NETWORKS FOR MODELING OF WATER CONSUMPTION by Alexander N. Salugin, Roman N. Balkushkin

Subjects: “…artificial neural networks…”

Preprocessing LOFARgram through U-Net++ neural network by Dan Peng, Xichen Xu, Wenhua Song, Dazhi Gao

Subjects: Get full text

Solar Flare Forecasting Using Hybrid Neural Networks by Dan Xu, Pengchao Sun, Song Feng, Bo Liang, Wei Dai

“…We built two solar flare prediction models based on a combination of convolutional neural networks (CNN) and a temporal convolutional network (TCN), called CNN-TCN, and predicted whether a ≥C- or ≥M-class flare event would erupt in ARs in the next 24 hr, respectively. …”
Get full text

The Estimate for Approximation Error of Neural Network with Two Weights by Fanzi Zeng, Yuting Tang

“…The neural network with two weights is constructed and its approximation ability to any continuous functions is proved. …”
Get full text

Robust Linear Neural Network for Constrained Quadratic Optimization by Zixin Liu, Yuanan Liu, Lianglin Xiong

Get full text

Prediction and Evaluation of Rockburst Based on Depth Neural Network by Jin Zhang, Mengxue Wang, Chuanhao Xi

“…Training through existing data. The neural network model shows that the rockburst risk is closely related to the maximum principal stress. …”
Get full text

A Novel Kernel for RBF Based Neural Networks by Wasim Aftab, Muhammad Moinuddin, Muhammad Shafique Shaikh

“…In this work, we introduce a novel RBF artificial neural network (ANN) where the basis function utilizes a linear combination of ED based Gaussian kernel and a cosine kernel where the cosine kernel computes the angle between feature and center vectors. …”
Get full text

Neural Networks in Mechanical System Simulation, Identification, and Assessment by Thomas L. Paez

“…Artificial neural networks (ANNs) have been used in the solution of a variety of mechanical system design, analysis, and control problems. …”
Get full text

GuardianMPC: Backdoor-Resilient Neural Network Computation by Mohammad Hashemi, Domenic Forte, Fatemeh Ganji

Subjects: Get full text

Driver Distraction Identification with an Ensemble of Convolutional Neural Networks by Hesham M. Eraqi, Yehya Abouelnaga, Mohamed H. Saad, Mohamed N. Moustafa

“…The system consists of a genetically weighted ensemble of convolutional neural networks; we show that a weighted ensemble of classifiers using a genetic algorithm yields a better classification confidence. …”
Get full text

Neural Networks Application for the Data of PID Controller for Acrobot by Nguyen Cong Danh

“…Control an Acrobot system, including Neural Network Application for the data of the PID controller (closed form). …”
Get full text

On the Prediction of the Sideslip Angle Using Dynamic Neural Networks by Raffaele Marotta, Salvatore Strano, Mario Terzo, Ciro Tordela

Subjects: Get full text

Methods for Constructing Artificial Neural Networks for Data Classification by L. V. Serebryanaya

Subjects: Get full text

Multilayer magnetic skyrmion devices for spiking neural networks by Aijaz H Lone, Daniel N Rahimi, Hossein Fariborzi, Gianluca Setti

Subjects: Get full text