Offline English Handwritten Character Recognition using Sequential Convolutional Neural Network by Muhammad Iqbal, Muniba Humayun, Raheel Siddiqi, Christopher J. Harrison, Muneeb Abid Malik

“…This research paper proposes a deep learning convolutional neural network that is tested and compared with renowned pre-trained models using transfer learning. …”
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Customer Churn Modeling via the Grey Wolf Optimizer and Ensemble Neural Networks by Maryam Rahmaty, Amir Daneshvar, Fariba Salahi, Maryam Ebrahimi, Adel Pourghader Chobar

“…This study proposes a hybrid system based on fuzzy entropy criterion selection algorithm with similar classifiers, grey wolf optimization algorithm, and artificial neural network to predict the customer churn of those companies that suffer losses from losing customers over time. …”
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Dynamic Coverage Based on Neural Gas Learning Algorithm for Wireless Sensor Network by Yanjing Sun, Jiansheng Qian, Li Li

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Global Robust Exponential Stability Analysis for Interval Neural Networks with Mixed Delays by Yanke Du, Rui Xu

“…A class of interval neural networks with time-varying delays and distributed delays is investigated. …”
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Macromycete fungal diversity in the Andean Amazonian rainforest of the Sacta Valley, Cochabamba, Bolivia by Mario Coca Morante, Alejandro Coca-Salazar, Olga Herrera Fernández, Casimiro Mendoza Bautista

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Studies of Olfactory System Neural Plasticity: The Contribution of the Unilateral Naris Occlusion Technique by David M. Coppola

“…Neural Plasticity…”
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Research on the Prediction of the Water Demand of Construction Engineering Based on the BP Neural Network by Hao Peng, Han Wu, Junwu Wang

“…However, the errors of the BP neural network model, the BP neural network improved by genetic algorithm, and the pluralistic return were larger. …”
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Optimization of the Screw Conveyor Device Based on a GA-BP Neural Network by Qiang Guo, Yunpeng Zhuang, Houzhuo Xu, Wei Li, Haitao Li, Zhidong Wu

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Transcriptome size matters for single-cell RNA-seq normalization and bulk deconvolution by Songjian Lu, Jiyuan Yang, Lei Yan, Jingjing Liu, Judy Jiaru Wang, Rhea Jain, Jiyang Yu

“…Here we introduce ReDeconv, a computational algorithm that incorporates transcriptome size into scRNA-seq normalization and bulk deconvolution. ReDeconv introduces a scRNA-seq normalization approach, Count based on Linearized Transcriptome Size (CLTS), which corrects differential expressed genes typically misidentified by standard count per 10 K normalization, as confirmed by orthogonal validations. …”
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Construction of Gene Regulatory Networks Using Recurrent Neural Networks and Swarm Intelligence by Abhinandan Khan, Sudip Mandal, Rajat Kumar Pal, Goutam Saha

“…We have employed the Recurrent Neural Network formalism to extract the underlying dynamics present in the time series expression data accurately. …”
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Enterprise Network Marketing Prediction Using the Optimized GA-BP Neural Network by Ruyi Yang

“…The results show that the GA-BP neural network is higher than the traditional BP neural network in terms of prediction accuracy and adaptability.…”
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Mechanical properties of the liner for strengthening steel pipe under the action of normal fault by Kejie Zhai, Deqiang Hu, Kaidong Wang, Hongyuan Fang, Niannian Wang, Bin Li, Xueming Du, Yuquan Hu, Xiangqian Fan

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Process Assessment of Fencer's Parents within the scope of the Covid-19 Normalization Steps by Yusuf Barsbuğa

“…In addition, arrangements for the priorities of the parents of athletes in the organizations to be held within the scope of the Covid-19 normalization steps of the respective federation were ensured by presenting the Turkish Fencing Federation with the report drawn up as a result of the study.…”
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Ultra-Short Wave Communication Squelch Algorithm Based on Deep Neural Network by Yuanxin Xiang, Yi Lv, Wenqiang Lei, Jiancheng Lv

“…To alleviate the problem, we proposed a squelch algorithm for ultra-short wave communication based on a deep neural network and the traditional energy decision method. …”
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Differences in phenotypes of normal and malignant cells concerning chromosomal fragility and ganglioside expression by Iskra Sainova, Vera Kolyovska, Desislava Drenska, Dimitar Maslarov, Dimitrina Dimitrova-Dikanarova, Tzvetanka Markova

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Sequential Spiking Neural P Systems with Local Scheduled Synapses without Delay by Alia Bibi, Fei Xu, Henry N. Adorna, Francis George C. Cabarle

“…Spiking neural P systems with scheduled synapses are a class of distributed and parallel computational models motivated by the structural dynamism of biological synapses by incorporating ideas from nonstatic (i.e., dynamic) graphs and networks. …”
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Frictional Characteristics of Granite Fault under Imposed Dynamic Normal Disturbance Loads by Guojian Cui, Chuanqing Zhang, Qiming Xie

“…These experiments involved the use of bare granite surfaces to mimic fault behavior, while considering various initial stress ratios and applied normal disturbance loads. The application of normal disturbance loads led to the generation of consistent oscillations in shear stress, apparent friction coefficient, normal displacement, and shear displacement for both inactive and active faults. …”
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Stability Analysis of a Class of Neural Networks with State-Dependent State Delay by Yue Chen, Jin-E Zhang

“…The dominating work of this paper is to solve the stability problem of neural networks equipped with state-dependent state delay. …”
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Aircraft Detection for Remote Sensing Images Based on Deep Convolutional Neural Networks by Liming Zhou, Haoxin Yan, Yingzi Shan, Chang Zheng, Yang Liu, Xianyu Zuo, Baojun Qiao

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Rapid Discrimination of Cheese Products Based on Probabilistic Neural Network and Raman Spectroscopy by Zheng-Yong Zhang

“…This paper further studied and established the analytical approach based on Raman spectroscopy, including wavelet denoising, normalization, principal component analysis, and probabilistic neural network discrimination. …”
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