Prediction Model for Safe Operation of Pumping Stations Optimized by the Sparrow Search Algorithm and BP Neural Network by Ziwei Yu, Jinhuang Yu, Jinjie Liu, Chenglong Hu, Shengsheng Hu, Junjie Wang, Hehe Zhang, Huiting Lu

“…This article intends to use the BP neural network to predict the safe operation status of pump stations and optimize the initial threshold and weight information of the BP network using the sparrow search algorithm (SSA) to improve the accuracy and generalization ability of the model. …”
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Long Short-Term Memory Projection Recurrent Neural Network Architectures for Piano’s Continuous Note Recognition by YuKang Jia, Zhicheng Wu, Yanyan Xu, Dengfeng Ke, Kaile Su

“…Long Short-Term Memory (LSTM) is a kind of Recurrent Neural Networks (RNN) relating to time series, which has achieved good performance in speech recogniton and image recognition. …”
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Unusual Presentation of a Rare Disease: A Case Report of Fungal Necrotizing Otitis Media and Mastoiditis by Ermia Mousavi Mohammadi, Mohsen Rajati, Hossein Zarrinfar

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Development of a neural network for diagnosing the risk of depression according to the experimental data of the stop signal paradigm by M. O. Zelenskih, A. E. Saprygin, S. S. Tamozhnikov, P. D. Rudych, D. A. Lebedkin, A.  N. Savostyanov

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ARTIFICIAL NEURAL NETWORK IN THE MODELLING OF THE EFFECT OF CHROMIUM DOPANTS ON THE MECHANICAL PROPERTIES OF AL-4%CU ALLOY by EYERE EMAGBETERE, OGHENEKOWHO PETER ARUOTURE, FESTUS IFEANYI ASHIEDU

“… Artificial Neural Network (ANN) was used to model the effect of Chromium dopants on the mechanical properties duralumin (Al-4 %Cu). …”
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Predicting and synthesizing terahertz spoof surface plasmon polariton devices with a convolutional neural network model by Vahid Najafy, Bijan Abbasi-Arand, Maryam Hesari-Shermeh

“…Abstract With the increasing global attention to deep learning and the advancements made in applying convolutional neural networks in electromagnetics, we have recently witnessed the utilization of deep learning-based networks for predicting the spectrum and electromagnetic properties of structures instead of traditional tools like fully numerical-based methods. …”
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Presenting a neural network-based hybrid method for ADAS damper optimization in absorption of earthquake energy by Faezeh Nejati, Milad Jiyan

Subjects: “…neural network…”
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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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Mind the blind spot: lessons from fungal community sequencing in a plant–soil feedback experiment by Mengshuai Liu, Jose G. Maciá-Vicente, Jasper van Ruijven, Wopke van der Werf, Zhenling Cui, Fusuo Zhang, Chunxu Song, Liesje Mommer

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Non-Linear Effects of Acute Sleep Deprivation on Spatial Working Memory: Cognitive Depletion and Neural Compensation by Yongcong Shao, Lin Xu, Ziyi Peng, Xin An, Jingjing Gong, Mengfei Han

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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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Bone Marrow-Derived, Neural-Like Cells Have the Characteristics of Neurons to Protect the Peripheral Nerve in Microenvironment by Shi-lei Guo, Zhi-ying Zhang, Yan Xu, Yun-xia Zhi, Chang-jie Han, Yu-hao Zhou, Fang Liu, Hai-yan Lin, Chuan-sen Zhang

“…But the mechanism of neural-like cells in the peripheral nerve is still unclear. …”
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Neural and Hybrid Modeling: An Alternative Route to Efficiently Predict the Behavior of Biotechnological Processes Aimed at Biofuels Obtainment by Stefano Curcio, Alessandra Saraceno, Vincenza Calabrò, Gabriele Iorio

“…The present paper was aimed at showing that advanced modeling techniques, based either on artificial neural networks or on hybrid systems, might efficiently predict the behavior of two biotechnological processes designed for the obtainment of second-generation biofuels from waste biomasses. …”
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Automatic Implementation of Fuzzy Reasoning Spiking Neural P Systems for Diagnosing Faults in Complex Power Systems by Haina Rong, Kang Yi, Gexiang Zhang, Jianping Dong, Prithwineel Paul, Zhiwei Huang

“…As an important variant of membrane computing models, fuzzy reasoning spiking neural P systems (FRSN P systems) were introduced to build a link between P systems and fault diagnosis applications. …”
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Correlation between creativity and career choice for senior and vocational high school students in the new normal era by Renatha Ernawati, Evi Deliviana, Eustalia Wigunawati

“…Jurnal Konseling dan Pendidikan…”
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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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Nonlinear relationship between hepatic steatosis index and reversion to normal glucose regulation in Chinese adults with prediabetes by Haiyong Zeng, Fei Yu, Haofei Hu, Yong Han, Ruixue Ye, Changchun Cao

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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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VMAT2-Deficient Mice Display Nigral and Extranigral Pathology and Motor and Nonmotor Symptoms of Parkinson's Disease by Tonya N. Taylor, W. Michael Caudle, Gary W. Miller

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