Covid-19 Detection from Chest X-Ray Images and Hybrid Model Recommendation with Convolutional Neural Networks by Furkan Eryılmaz, Hacer Karacan

“…In this context, a hybrid approach with high accuracy classification based on convolutional neural network has been proposed for the detection of COVID-19 pneumonia. …”
Get full text

Online Traffic Accident Spatial-Temporal Post-Impact Prediction Model on Highways Based on Spiking Neural Networks by Duowei Li, Jianping Wu, Depin Peng

“…To this end, we build a 3-stage TAPIP model on highways, using the technology of spiking neural networks (SNNs) and convolutional neural networks (CNNs). …”
Get full text

A High-Performance Lossless Compression Scheme for EEG Signals Using Wavelet Transform and Neural Network Predictors by N. Sriraam

“…This paper presents a new and efficient high performance lossless EEG compression using wavelet transform and neural network predictors. The coefficients generated from the EEG signal by integer wavelet transform are used to train the neural network predictors. …”
Get full text

Existence and Global Exponential Stability of Periodic Solution to Cohen-Grossberg BAM Neural Networks with Time-Varying Delays by Kaiyu Liu, Zhengqiu Zhang, Liping Wang

“…We investigate first the existence of periodic solution in general Cohen-Grossberg BAM neural networks with multiple time-varying delays by means of using degree theory. …”
Get full text

Comparison and verification of detection accuracy for late deceleration with and without uterine contractions signals using convolutional neural networks by Ikumi Sato, Ikumi Sato, Yuta Hirono, Yuta Hirono, Eiri Shima, Hiroto Yamamoto, Kousuke Yoshihara, Chiharu Kai, Chiharu Kai, Akifumi Yoshida, Fumikage Uchida, Naoki Kodama, Satoshi Kasai

Subjects: Get full text

Research on RTD Fluxgate Induction Signal Denoising Method Based on Particle Swarm Optimization Wavelet Neural Network by Xu Hu, Na Pang, Haibo Guo, Rui Wang, Fei Li, Guo Li

Subjects: Get full text

Variable Torque Control of Offshore Wind Turbine on Spar Floating Platform Using Advanced RBF Neural Network by Lei Wang, Shan Zuo, Y. D. Song, Zheng Zhou

“…The robust RBF neural network weight adaptive rules are acquired based on the Lyapunov stability analysis. …”
Get full text

A Multilayer Feed Forward Small-World Neural Network Controller and Its Application on Electrohydraulic Actuation System by Xiaohu Li, Feng Xu, Jinhua Zhang, Sunan Wang

“…However, the performance of neural network controller is directly determined by neural network model. …”
Get full text

Investigating the Two Optimization Algorithms (GWO and ACO) Coupling with Radial Basis Neural Network to Estimate the Pile Settlement by Ehsanolah Assareh, Reza Poultangari

“…For this reason, a new hybrid model containing a Radial Basis Function Neural Network (RBFNN) joining with Grey Wolf Optimization (GWO) and Ant Colony Optimization (ACO) were used in a framework. …”
Get full text

Research on the Combined Prediction Model of Residential Building Energy Consumption Based on Random Forest and BP Neural Network by Xuenan Zhang, Jinxin Zhang, Jinhua Zhang, YuChuan Zhang

“…Compared with the random forest, BP neural network model, and other existing models, respectively, it is proven by the experimental results that the RF-BPNN model possesses higher prediction accuracy and better stability.…”
Get full text

An Artificial Neural Network Developed in MATLAB-Simulink for Reconstruction a Distorted Secondary Current Waveform. Part 2 by Yu. V. Rumiantsev, F. A. Romaniuk

Subjects: “…artificial neural network…”
Get full text

Design and implementation of state-of-charge estimation based on back-propagation neural network for smart uninterruptible power system by Shuo Li, Song Li, Haifeng Zhao, Yuan An

“…In this article, a method for estimating the state of charge of lithium battery based on back-propagation neural network is proposed and implemented for uninterruptible power system. …”
Get full text

Fault Diagnosis of Wind Turbine Gearbox based on EEMD Wavelet Threshold Denoising and CS-BP Neural Network by Wang Hongjun, Zhao Yuanlu, Zhao Hui, Yue Youjun

“…The cuckoo search is used to optimize the BP neural network to diagnose the preprocessed signals. The wavelet threshold can better denoise the high frequency components in the EEMD decomposition,and the CS-BP neural network has accurate pattern recognition accuracy and excellent global optimization ability. …”
Get full text

Cascaded neural network surrogate modeling for real-time decision-making in long-distance water supply distribution by Lin Shi, Jian Zhang, Sheng Chen, Yi Liu, Wenlong Zhao

Subjects: Get full text

Diagnosis of Coronary Heart Disease via Robust Artificial Neural Network Classifier by Adaptive Synthetic Sampling Approach by Elahe Moradi

Subjects: “…artificial neural network…”
Get full text

Retracted: A Classroom Emotion Recognition Model Based on a Convolutional Neural Network Speech Emotion Algorithm by Occupational Therapy International

Get full text

Enhancing navigation performance in unknown environments using spiking neural networks and reinforcement learning with asymptotic gradient method by Xiaode Liu, Yufei Guo, Yuanpei Chen, Jie Zhou, Yuhan Zhang, Weihang Peng, Xuhui Huang, Zhe Ma

Subjects: “…Spiking neural networks (SNN)…”
Get full text

Long-Term Rainfall Information Forecast by Utilizing Constrained Amount of Observation through Artificial Neural Network Approach by Muhammed E. Akiner

“…The study demonstrates a modern approach utilizing a created artificial neural network (ANN) method that may be an alternative strategy to conventional factual procedures for advancing rainfall estimate execution. …”
Get full text

Optimal Learning Behavior Prediction System Based on Cognitive Style Using Adaptive Optimization-Based Neural Network by Ghada Aldabbagh, Daniyal M. Alghazzawi, Syed Hamid Hasan, Mohammed Alhaddad, Areej Malibari, Li Cheng

“…Therefore, being motivated by the problems mentioned above, this paper proposes the concept of adaptive optimization-based neural network (AONN). The learning behavior and browsing behavior features are extracted and incorporated into the input of artificial neural network (ANN). …”
Get full text

Convolutional neural network (CNN) configuration using a learning automaton model for neonatal brain image segmentation. by Iran Sarafraz, Hamed Agahi, Azar Mahmoodzadeh

Get full text