Modeling and Error Compensation of Robotic Articulated Arm Coordinate Measuring Machines Using BP Neural Network by Guanbin Gao, Hongwei Zhang, Hongjun San, Xing Wu, Wen Wang

“…In this paper, a modeling and error compensation method for AACMM is proposed based on BP Neural Networks. According to the available measurements, the poses of the AACMM are used as the input, and the coordinates of the probe are used as the output of neural network. …”
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Aija Macāne. Stone Age Companions: Humans and Animals in Hunter-Gatherer Burials in North-Eastern Europe by Charlotte Damm

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Software Design Challenges in Time Series Prediction Systems Using Parallel Implementation of Artificial Neural Networks by Narayanan Manikandan, Srinivasan Subha

“…For the last two decades, a large number of Artificial Neural Networks based learning models have been proposed to solve the problems of financial data and get accurate results in prediction of the future trends and prices. …”
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Multimodal MRI Neuroimaging Biomarkers for Cognitive Normal Adults, Amnestic Mild Cognitive Impairment, and Alzheimer's Disease by Ai-Ling Lin, Angela R. Laird, Peter T. Fox, Jia-Hong Gao

“…This paper discusses recent findings of the multimodal MRI in the context of surrogate biomarkers for identifying the risk for AD in normal cognitive (NC) adults, brain anatomical and functional alterations in amnestic mild cognitive impairment (aMCI), and Alzheimer's disease (AD) patients. …”
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Thermal design of a thermoelectric refrigerator operating near room temperature using artificial neural network by Hichem Ykrelef, Younes Chiba, Mounir Zirari, Ahmed Benyekhlef, Abdelali Boukaoud, Djamel Sebbar, Abdelkrim Kherkhar, Hayati Mamur

Subjects: “…Artificial neural networks…”
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Differences in immune status and fecal SCFA between Indonesian stunted children and children with normal nutritional status. by Ingrid S Surono, Fasli Jalal, Syukrini Bahri, Andreas Romulo, Pratiwi Dyah Kusumo, Erida Manalu, Yusnita, Koen Venema

“…We recently showed that the gut microbiota composition of stunted children was different from that of children with normal nutritional status. Here, we compared immune status and fecal microbial metabolite concentrations between stunted and normal children, and we correlated macronutrient intake (including energy), metabolites and immune status to microbiota composition. …”
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A neural network design for black-box identification of converter impedance models in arbitrary operating conditions by CHEN Bing, ZHAO Chongbin, JIANG Qirong, WANG Xu, WANG Fangming

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A Comparative Study of Three Pre-trained Convolutional Neural Networks in the Detection of Violence Against Women

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Barriers and enhance strategies for green supply chain management using continuous linear diophantine neural networks by Shougi S. Abosuliman, Saleem Abdullah, Nawab Ali

Subjects: “…Neural network…”
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A Full Stage Data Augmentation Method in Deep Convolutional Neural Network for Natural Image Classification by Qinghe Zheng, Mingqiang Yang, Xinyu Tian, Nan Jiang, Deqiang Wang

“…In this paper, we propose a full stage data augmentation framework to improve the accuracy of deep convolutional neural networks, which can also play the role of implicit model ensemble without introducing additional model training costs. …”
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Study of the Workability of Self-Compacting Concrete (SCC) Using Experimental Methods and Artificial Neural Networks (ANN) by Amar Mezidi, Mourad Serikma, Salem Merabti

“…Three methods are considered: the first is an empirical method represented by an approach based on mortar optimization, a solution proposed by Japanese researchers who originally introduced the concept of self-compacting concrete; the second is a graphical method by Dreux-Gorisse used for ordinary concrete, which optimizes the composition of the aggregate skeleton by selecting fractions without additives and superplasticizers; and the third is a statistical method that we developed using an approach based on Artificial Neural Networks (ANN) built from a database from previous research projects. …”
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Maternal Parvovirus B19 Infection Causing First-Trimester Increased Nuchal Translucency and Fetal Hydrops by Olivia Grubman, Farrah Naz Hussain, Zoe Nelson, Lois Brustman

“…This fetus had an increased NT of 3.2 mm at 11 weeks’ gestation with a normal male karyotype and microarray analysis on chorionic villi sampling, in addition to a normal fetal echocardiogram at 15 weeks’ gestation. …”
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Learning Air Traffic as Images: A Deep Convolutional Neural Network for Airspace Operation Complexity Evaluation by Hua Xie, Minghua Zhang, Jiaming Ge, Xinfang Dong, Haiyan Chen

“…To overcome these problems, this paper for the first time proposes an end-to-end SOC learning framework based on deep convolutional neural network (CNN) specifically for free of hand-crafted factors environment. …”
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Retracted: Optimization Algorithm of Communication Resource Allocation in a Complex Network Based on an Improved Neural Network by Journal of Function Spaces

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Abnormal neural circuits and altered brain network topological properties in patients with persistent postural-perceptual dizziness by Kangzhi Li, Xia Ling, Jing Zhao, Zhiqun Wang, Xu Yang

“…Our findings provide new insights for understanding the neural mechanisms of PPPD.…”
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Perbedaan Kadar Vitamin C dan Kadar Malondialdehide Antara kejadian Abortus Dengan Kehamilan Normal by Hartati Deri Manila, Eryati Darwin, Erwani Erwani

“…Jurnal Kesehatan Andalas…”
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Estimating the visibility in foggy weather based on meteorological and video data: A Recurrent Neural Network approach by Jian Chen, Ming Yan, Muhammad Rabea Hanzla Qureshi, Keke Geng

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Retracted: Classification of Myopathy and Amyotrophic Lateral Sclerosis Electromyograms Using Bat Algorithm and Deep Neural Networks by Behavioural Neurology

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A hybrid CNN-LSTM model with adaptive instance normalization for one shot singing voice conversion by Assila Yousuf, David Solomon George

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Analysis and Simulation of the Early Warning Model for Human Resource Management Risk Based on the BP Neural Network by Xue Yan, Xiangwu Deng, Shouheng Sun

“…The back propagation (BP) neural network is an information analysis and processing system formed by using the error back propagation algorithm to simulate the neural function and structure of the human brain, which can handle complex and changeable things that do not have an obvious linear relationship between output results and input factors, so as to find the objective connection between the two. …”
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