Environmental Fault Diagnosis of Solar Panels Using Solar Thermal Images in Multiple Convolutional Neural Networks by Tamilselvi Selvaraj, Ramasubbu Rengaraj, GiriRajanbabu Venkatakrishnan, SoundhariyaGanesan Soundararajan, Karuppiah Natarajan, PraveenKumar Balachandran, PrinceWinston David, Shitharth Selvarajan

“…In recent years, deep learning precisely convolutional neural networks have achieved wonderful results in many applications. …”
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Efficient and Explainable Virtual Screening of Molecules through Fingerprint-Generating Networks Integrated with Artificial Neural Networks by Rivaaj Monsia, Sudeep Bhattacharyya

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Long Short‐Term Memory Neural Network for Ionospheric Total Electron Content Forecasting Over China by Pan Xiong, Dulin Zhai, Cheng Long, Huiyu Zhou, Xuemin Zhang, Xuhui Shen

Subjects: “…long short‐term memory neural network…”
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Prediction of NOx Emissions from a Direct Injection Diesel Engine Using Artificial Neural Network by J. Mohammadhassani, Sh. Khalilarya, M. Solimanpur, A. Dadvand

“…In the present study, artificial neural network is used to model the relationship between NOx emissions and operating parameters of a direct injection diesel engine. …”
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A DBN-Based Deep Neural Network Model with Multitask Learning for Online Air Quality Prediction by Jiangeng Li, Xingyang Shao, Rihui Sun

“…In this paper, for the purpose of improve prediction accuracy of air pollutant concentration, a deep neural network model with multitask learning (MTL-DBN-DNN), pretrained by a deep belief network (DBN), is proposed for forecasting of nonlinear systems and tested on the forecast of air quality time series. …”
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Predicting Nanobinder-Improved Unsaturated Soil Consistency Limits Using Genetic Programming and Artificial Neural Networks by Ahmed M. Ebid, Light I. Nwobia, Kennedy C. Onyelowe, Frank I. Aneke

“…Therefore, in this work, genetic programming (GP) and artificial neural network (ANN) have been used to predict the consistency limits, i.e., liquid limits, plastic limit, and plasticity index of unsaturated soil treated with a composite binder known as hybrid cement (HC) made from blending nanostructured quarry fines (NQF) and hydrated-lime-activated nanostructured rice husk ash (HANRHA). …”
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A Review of Fuzzy Logic and Neural Network Based Intelligent Control Design for Discrete-Time Systems by Yiming Jiang, Chenguang Yang, Hongbin Ma

“…Over the last few decades, the intelligent control methods such as fuzzy logic control (FLC) and neural network (NN) control have been successfully used in various applications. …”
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Self-Organizing Mapping Neural Network Implementation Based on 3-D NAND Flash for Competitive Learning by Anyi Zhu, Lei Jin, Wen Zhou, Tianchun Ye, Zongliang Huo

“…Self-organizing Map (SOM) neural network is a prominent algorithm in unsupervised machine learning, which is widely used for data clustering, high-dimensional visualization, and feature extraction. …”
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Switched Exponential State Estimation and Robust Stability for Interval Neural Networks with Discrete and Distributed Time Delays by Hongwen Xu, Huaiqin Wu, Ning Li

“…Firstly, by combining the theories of the switched systems and the interval neural networks, the mathematical model of the switched interval neural networks with discrete and distributed time delays and the interval estimation error system are established. …”
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A cutting-edge neural network approach for predicting the thermoelectric efficiency of defective gamma-graphyne nanoribbons by Jiayi Guo, Chunfeng Cui, Tao Ouyang, Juexian Cao, Xiaolin Wei

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Optimizing Artificial Neural Network Learning Using Improved Reinforcement Learning in Artificial Bee Colony Algorithm by Taninnuch Lamjiak, Booncharoen Sirinaovakul, Siriwan Kornthongnimit, Jumpol Polvichai, Aysha Sohail

“…Artificial neural networks (ANNs) are widely used machine learning techniques with applications in various fields. …”
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Data-driven multi-fault detection in pipelines utilizing frequency response function and artificial neural networks by Hussein A. M. Hussein, Sharafiz B. Abdul Rahim, Faizal B. Mustapha, Prajindra S. Krishnan, Nawal Aswan B. Abdul Jalil

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Constructing an Artificial Intelligent Deep Neural Network Battery for Tongue Region Segmentation and Tongue Characteristic Recognition by Tian-Xing Yi, Jian-Xin Chen, Xue-Song Wang, Meng-Jie Kou, Qing-Qiong Deng, Xu Wang

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Forecasting of Global Ionosphere Maps With Multi‐Day Lead Time Using Transformer‐Based Neural Networks by Chung‐Yu Shih, Cissi Ying‐tsen Lin, Shu‐Yu Lin, Cheng‐Hung Yeh, Yu‐Ming Huang, Feng‐Nan Hwang, Chia‐Hui Chang

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Prediction Model of Corrosion Current Density Induced by Stray Current Based on QPSO-Driven Neural Network by Chengtao Wang, Wei Li, Gaifang Xin, Yuqiao Wang, Shaoyi Xu

“…The QPSO algorithm was employed to optimize the updating process of weights and biases in the artificial neural network (ANN). The results show that the accuracy of the proposed QPSO-NN model is better than the model based on backpropagation neural network (BPNN) and particle swarm optimization-neural network (PSO-NN). …”
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Application of a Neural Network Model for Prediction of Wear Properties of Ultrahigh Molecular Weight Polyethylene Composites by Halil Ibrahim Kurt, Murat Oduncuoglu

“…The extensive experimental results were taken from literature and modeled with artificial neural network (ANN). The feed forward (FF) back-propagation (BP) neural network (NN) was used to predict the dry sliding wear behavior of UHMWPE composites. …”
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Modeling of River Sediment Estimation Using Artificial Neural Network Method (Case Study: Vanai River) by Dariush Abolfathi, Aghil Madadi, Sayyad Asghari

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Modelling Lithuanian family farms’ participation in agri-environmental subsidy schemes: a Neural Network Approach by Kristina Gesevičienė, Erika Besusparienė

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Research on Hybrid Hysteresis Modeling of Harmonic Reducer based on Parallel with Memristor Hysteresis Model and Neural Network by Xuanju Dang, Fang Wei

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EM Wave-Based Hand Gesture Recognition for Astronauts Using 3D Memristive Neural Network by Shilpa Pavithran, Sruthi Pallathuvalappil, Elizabeth George, Javed G S, Alex James

“…Four hand gestures are performed and classified using a three-dimensional memristive Artificial Neural Network (3D-ANN) based on Skywater 130 nm PDK (SKY130) for the ON-body to OFF-body scenario with an accuracy of 80%. …”
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