Iraqi Stock Market Prediction Using Artificial Neural Network and Long Short-Term Memory by Sama Hayder Abdulhussein AlHakeem, Nashaat Jasim Al-Anber, Hayfaa Abdulzahra Atee, Mahmod Muhamad Amrir

“…In this paper, two models were proposed to predict the Iraqi stock markets index through the use of artificial neural networks (ANN) and a long short-term memory (LSTM) algorithm where Iraqi stock market data were used from 2017 to 2021 and good results were achieved in the prediction where the long short-term memory (LSTM) algorithm reached a mean square error (MSE) rate of as little as 0.0016 while the artificial neural network (ANN) algorithm reached error rate 0.0055. …”
Get full text

Approximation-Aware Training for Efficient Neural Network Inference on MRAM Based CiM Architecture by Hemkant Nehete, Sandeep Soni, Tharun Kumar Reddy Bollu, Balasubramanian Raman, Brajesh Kumar Kaushik

Subjects: Get full text

Intelligent　Flow　Control　Technique　of　ABR　Service　in　ATM　Networks　Based　on　Fuzzy　Neural　Networks by Zhang Liangjie Li Yanda Li Qinghua Wang Pu (Dept of Automation, Tsinghua University, Beijing 100084)

Get full text

Detection of Malignancy Associated Changes in Cervical Cell Nuclei Using Feed-Forward Neural Networks by Roger A. Kemp, Calum MacAulay, David Garner, Branko Palcic

“…The correct classification rate using feed‐forward neural networks is compared to linear discriminant analysis when applied to detecting MACs. …”
Get full text

Wavefront-aberration-tolerant diffractive deep neural networks using volume holographic optical elements by Ikuo Hoshi, Koki Wakunami, Yasuyuki Ichihashi, Ryutaro Oi

Subjects: “…Diffractive deep neural network…”
Get full text

Tracking Control Based on Recurrent Neural Networks for Nonlinear Systems with Multiple Inputs and Unknown Deadzone by J. Humberto Pérez-Cruz, José de Jesús Rubio, E. Ruiz-Velázquez, G. Solís-Perales

“…Subsequently, by a proper control law, the state of the neural network is compelled to follow a bounded reference trajectory. …”
Get full text

Image-Based Concrete Crack Detection Using Convolutional Neural Network and Exhaustive Search Technique by Shengyuan Li, Xuefeng Zhao

“…To overcome these challenges, this paper proposes an image-based crack detection method using a deep convolutional neural network (CNN). A CNN is designed through modifying AlexNet and then trained and validated using a built database with 60000 images. …”
Get full text

Empirical Modeling of Ionospheric Current Using Empirical Orthogonal Function Analysis and Artificial Neural Network by Charles Owolabi, Haibing Ruan, Yosuke Yamazaki, Jinfeng Li, Jiahao Zhong, A. V. Eyelade, Shishir Priyadarshi, Akimasa Yoshikawa

Subjects: Get full text

Correction: Correction: A neural network model for online one-shot storage of pattern sequences. by PLOS One Staff

Get full text

Development of Deep Convolutional Neural Network with Adaptive Batch Normalization Algorithm for Bearing Fault Diagnosis by Chao Fu, Qing Lv, Hsiung-Cheng Lin

“…Many previous works using a deep convolutional neural network (CNN) have achieved excellent performance in finding fault information from feature extraction of detected signals. …”
Get full text

Classification and Localization of Faults in AC Microgrids Through Discrete Wavelet Transform and Artificial Neural Networks by J. A. R. R. Jayasinghe, J. H. E. Malindi, R. M. A. M. Rajapaksha, V. Logeeshan, Chathura Wanigasekara

Subjects: Get full text

Incorporating edge convolution and correlative self-attention into graph neural network for material properties prediction by Zexi Yang, Qi Yu, Yapeng Zhan, Jiying Liu

Subjects: “…graph convolutional neural network…”
Get full text

Rockburst Prediction Model Based on Entropy Weight Integrated with Grey Relational BP Neural Network by Yuchao Zheng, Heng Zhong, Yong Fang, Wensheng Zhang, Kai Liu, Jing Fang

“…The training sample of the BP neural network is selected by threshold determination. …”
Get full text

Automatic Classification System of Drainage Hole Blockage Based on Convolution Neural Network Transfer Learning by Jianbing Lv, Weijun Wu, Xiaoyu Kang, Juan Huang, Gongfa Chen, Shuai Teng, Hejie Gao

“…This paper studies an algorithm for the automatic classification of drainage hole blockage degree based on convolutional neural network transfer learning to explore the intelligent detection method of drainage hole blockage. …”
Get full text

RETRACTED: Forecasting rolling stock indicators in the market of transport services using the neural network method by Zadorozhniy Vyacheslav, Zyryankina Ksenia, Bakalov Maksim

Get full text

Ischemic Stroke Lesion Segmentation on Multiparametric CT Perfusion Maps Using Deep Neural Network by Ankit Kandpal, Rakesh Kumar Gupta, Anup Singh

Get full text

Inversion of Mechanical Parameters of Tunnel Surrounding Rock Based on Improved GWO-BP Neural Network by Chen Zhang, Qiunan Chen, Wenbing Zhou, Xiaocheng Huang

Subjects: Get full text

Convolutional neural network prediction of the particle size distribution of soil from close-range images by Enrico Soranzo, Carlotta Guardiani, Wei Wu

“…In this study, we propose a convolutional neural network approach for predicting the particle size distribution using soil image analysis. …”
Get full text

Investigation of a transformer-based hybrid artificial neural networks for climate data prediction and analysis by Shangke Liu, Ke Liu, Zheng Wang, Yuanyuan Liu, Bin Bai, Rui Zhao

“…While they have achieved some success, these models still face issues such as complexity, high computational cost, and insufficient handling of multivariable nonlinear relationships.MethodsIn light of this, this paper proposes a hybrid deep learning model based on Transformer-Convolutional Neural Network (CNN)-Long Short-Term Memory (LSTM) to improve the accuracy of climate predictions. …”
Get full text

Enhancing Physical Spatial Resolution of Synthetic Aperture Sonar Images Based on Convolutional Neural Network by Pan Xu, Dongbao Gao, Shui Yu, Guangming Li, Yun Zhao, Guojun Xu

Subjects: Get full text