Coverage Properties of a Neural Network Estimator of Finite Population Total in High-Dimensional Space by Festus A. Were, George O. Orwa, Romanus O. Otieno, Nicholas Makumi, Ramy Aldallal

“…The results presented in this paper show good performance in terms of bias, MSE, and mean absolute error for the feedforward backpropagation neural network estimator as compared to other identified existing estimators of finite population total in high-dimensional datasets. …”
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Reconstruction of U.S. Regional-Scale Soybean SIF Based on MODIS Data and BP Neural Network by YAO Jianen, LIU Haiqiu, YANG Man, FENG Jinying, CHEN Xiu, ZHANG Peipei

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Retracted: Ancient Stone Inscription Image Denoising and Inpainting Methods Based on Deep Neural Networks by Discrete Dynamics in Nature and Society

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Graph Neural Network-Based Approach for Detecting False Data Injection Attacks on Voltage Stability by Shahriar Rahman Fahim, Rachad Atat, Cihat Kececi, Abdulrahman Takiddin, Muhammad Ismail, Katherine R. Davis, Erchin Serpedin

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More Efficient and Reliable: Identifying RRab Stars with Blazhko Effect by Deep Convolutional Neural Network by Nan Jiang, Tianrui Sun, Siyuan Pan, Lingzhi Wang, Xue Li, Bin Sheng, Xiaofeng Wang

“…In this study, we make use of Resnet 34, a well-known convolutional neural network (CNN) architecture, to identify RRab stars with BL from phased light curves collected from OGLE. …”
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Transformer Inrush Current and Internal Fault Discrimination Using Multitypes of Convolutional Neural Network Techniques by Abedalgany Abedallah Athamneh, Ali Mohammad Alqudah

“…This paper presents a new proposed method to discriminate the transformer’s internal fault from the inrush current; the discrimination process is based on a convolutional neural network (CNN) with a combination of the higher order spectral estimations that perform a deep learning classification with high accuracy. …”
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Mortality Predicted Accuracy for Hepatocellular Carcinoma Patients with Hepatic Resection Using Artificial Neural Network by Herng-Chia Chiu, Te-Wei Ho, King-Teh Lee, Hong-Yaw Chen, Wen-Hsien Ho

“…The aim of this present study is firstly to compare significant predictors of mortality for hepatocellular carcinoma (HCC) patients undergoing resection between artificial neural network (ANN) and logistic regression (LR) models and secondly to evaluate the predictive accuracy of ANN and LR in different survival year estimation models. …”
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Application of artificial neural networks for predictive model of municipal solid waste collection in tourist cities by T. Kridakorn Na Ayutthaya, N. Jakrawatana, D. Rinchumphu, V. Owatsakul

Subjects: “…artificial neural networks (ann)…”
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The Promotion Effect of Computer-Aided Technology Combined with RBF Neural Network Algorithm on Art Design by Chunliang Pan, Yuning Pan

“…In order to improve the effect of fractal art pattern design, this study combines RBF neural network algorithm to design and evaluate CAD fractal art pattern to improve the effect of fractal art pattern design. …”
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Intrusion detection using synaptic intelligent convolutional neural networks for dynamic Internet of Things environments by Hui Chen, Zhendong Wang, Shuxin Yang, Xiao Luo, Daojing He, Sammy Chan

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CLB-Defense: based on contrastive learning defense for graph neural network against backdoor attack by Jinyin CHEN, Haiyang XIONG, Haonan MA, Yayu ZHENG

Subjects: “…graph neural network…”
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Classification of Myopathy and Amyotrophic Lateral Sclerosis Electromyograms Using Bat Algorithm and Deep Neural Networks by A. Bakiya, A. Anitha, T. Sridevi, K. Kamalanand

“…The performance of deep neural network exerting selected features from bat algorithm was compared with conventional artificial neural network. …”
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Eddy current modelling using multi-layer perceptron neural networks for detecting surface cracks by Salaheddine Harzallah, R. Rebhi, M. Chabaat, A. Rabehi

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Intelligent Soft Computing on Forex: Exchange Rates Forecasting with Hybrid Radial Basis Neural Network by Lukas Falat, Dusan Marcek, Maria Durisova

“…The authors suggest a new hybrid neural network which is a combination of the standard RBF neural network, a genetic algorithm, and a moving average. …”
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Research on Image Recognition and Classification Algorithms in Cloud Computing Environment Based on Deep Neural Networks by Zheshu Jia

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A low functional redundancy-based network slimming method for accelerating deep neural networks by Zheng Fang, Bo Yin

Subjects: “…Deep neural networks…”
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DETECTING WEB-BASED BOTNETS USING A WEB PROXY AND A CONVOLUTIONAL NEURAL NETWORK by Trần Đắc Tốt, Phạm Tuấn Khiêm, Phạm Nguyễn Huy Phương

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A Reconfigurable and Biologically Inspired Paradigm for Computation Using Network-On-Chip and Spiking Neural Networks by Jim Harkin, Fearghal Morgan, Liam McDaid, Steve Hall, Brian McGinley, Seamus Cawley

“…FPGA devices have emerged as a popular platform for the rapid prototyping of biological Spiking Neural Networks (SNNs) applications, offering the key requirement of reconfigurability. …”
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Intelligent Diagnosis of Rolling Bearing Fault Based on Improved Convolutional Neural Network and LightGBM by Yanwei Xu, Weiwei Cai, Liuyang Wang, Tancheng Xie

“…Aiming at the problems of weak generalization ability and long training time in most fault diagnosis models based on deep learning, such as support vector machines and random forest algorithms, one intelligent diagnosis method of rolling bearing fault based on the improved convolution neural network and light gradient boosting machine is proposed. …”
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Optimization of Neurons Number in Artificial Neural Network Model for Predicting the Power Production of PV Module by Hussain Hamdi Khalaf, Ali Nasser Hussain, Zuhair S. Al-Sagar, Abdulrahman Th. Mohammad, Hilal A. Fadhil

“… In this work, an Artificial Neural Network (ANN) with a backward-propagation technique was used to predict the power generation of the Photovoltaic (PV) module in weather conditions of Baghdad city-Iraq. …”
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