Applicability of Artificial Neural Networks to Predict Mechanical and Permeability Properties of Volcanic Scoria-Based Concrete by Aref M. al-Swaidani, Waed T. Khwies

“…Feed-forward backpropagation neural networks have been used. The ANN models have been established by incorporation of the laboratory experimental data and by properly choosing the network architecture and training processes. …”
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Integrated Network Pharmacology and Gut Microbiota Study on the Mechanism of Huangqin Decoction in Treatment Diabetic Enteritis by Xiaomin Xu, Cheng Fang, Fang Lu, Shumin Liu

“…Objective. Using network pharmacology and gut microbiota sequencing to investigate the probable mechanism of Huangqin decoction in the treatment of Diabetic enteritis (DE). …”
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Testing convolutional neural network based deep learning systems: a statistical metamorphic approach by Faqeer ur Rehman, Clemente Izurieta

“…., convolutional neural networks (CNNs)) that have a stochastic nature (because of randomly initializing the network weights) in their training. …”
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Classification of the Crystal Structures of Orthosilicate Cathode Materials for Li-Ion Batteries by Artificial Neural Networks by Mookala Premasudha, Bhumi Reddy Srinivasulu Reddy, Kwon-Koo Cho, Ahn Hyo-Jun, Jae-Kyung Sung, Nagireddy Gari Subba Reddy

“…An artificial neural network (ANN) model with a 6-22-22-22-1 architecture was trained on 85% of the data and tested on the remaining 15%, achieving an impressive accuracy of 97.3%. …”
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Network Meta-Analysis of Once Weekly Selinexor-Bortezomib-Dexamethasone in Previously Treated Multiple Myeloma by Michael Dolph, Gabriel Tremblay, Adrienne M Gilligan, Hoyee Leong

“…Performing head-to-head comparisons of all treatment options is not feasible. Thus, network meta-analyses play an important role in allowing health-care decision makers to compare the effectiveness of treatment options. …”
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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

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Uji Parameter dan Arsitektur Convolutional Neural Network untuk Mendeteksi Citra Wajah Bermasker by Dewi Novita Sari, Muh. Arif Rahman, Randy Cahya Wihandika

“…Four model architectures are built with seven layers using a combination of these parameters. …”
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Identification and Classification of Factors Influencing the Regulation of Priority Goods Markets Based on Network Governance with an Interpretive Structural Modeling Approach by sadegh Dadashi, Fattah Sharifzadeh, Reza Vaezi, Hossein Aslipour

“…The data collection tools include semi-structured interviews and qualitative document analysis in the qualitative phase, and structured interpretive questionnaires in the quantitative phase.ResultsThe model developed comprises seven levels, encompassing actor diversity, specialized and flexible human resources, and various functional domains of the network. …”
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A Novel Carbon Price Fluctuation Trend Prediction Method Based on Complex Network and Classification Algorithm by Hua Xu, Minggang Wang

“…In order to promote the accuracy of the forecasting model, this paper proposes the idea of integrating network topology information into carbon price data; that is, carbon price data are mapped into a complex network through a visibility graph algorithm, and the network topology information is extracted. …”
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The central regulatory circuit in the gene network controlling the morphogenesis of Drosophila mechanoreceptors: an <i>in silico</i> analysis by T. A. Bukharina, V. P. Golubyatnikov, D. P. Furman

“…Reconstruction and analysis of the gene networks that provide the formation of traits allow us to integrate the existing experimental data and to identify the key links and intra-network connections that ensure the function of networks. …”
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Analysis of Complex Transportation Network and Its Tourism Utilization Potential: A Case Study of Guizhou Expressways by Sihong Chen, Jianchao Xi, Menghao Liu, Tao Li

“…We found that (1) the geographical centrality of the Guizhou expressway transportation network ranged from −1.28 to 3.33, and its distribution shows a single-core, polyconcentric dispersed spatial structure; (2) the passenger-car flow rate ranged from 15,000 to 3.66 million, and its distribution showed a dual-core, polycentric dispersed structure that is weakly concentric; and (3) there was a positive correlation of 0.22 between the geographical centrality and passenger flow of the Guizhou expressway transportation network, which showed seven cluster types—“high-high,” “moderately high-high,” “low-high,” “moderately low-high,” “high-low,” “moderately high-low,” and “low-low”—for which seven corresponding models of tourism development were proposed. …”
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A Multifeature Fusion Network for Tree Species Classification Based on Ground-Based LiDAR Data by Yaoting Liu, Yiming Chen, Zhengjun Liu, Jianchang Chen, Yuxuan Liu

“…Light detection and ranging (LiDAR) holds considerable promise for tree species classification. Existing networks that utilize point clouds of individual trees have shown promising results. …”
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A Hybrid Artificial Neural Network and Particle Swarm Optimization algorithm for Detecting COVID-19 Patients by Alla Ahmad Hassan, Tarik A Rashid

“…Based on the comparison, this paper grouped the top seven ML models such as Neural Networks, Logistic Regression, Nave Bayes Classifier, Multilayer Perceptron, Support Vector Machine, BF Tree, Bayesian Networks algorithms and measured feature importance, and other, to justify the differences between classification models. …”
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Comparative efficacy of acupuncture therapies in premature ovarian failure: A systematic review and network meta-analysis by Yonghang Yi, Fengjun Ma, Yang Jiao, Rongqi Zhang, Yunhao Yi, Yuxia Ma

“…This study aimed to systematically review the literature and conduct a network meta-analysis (NMA) to compare the efficacy of different acupuncture and related therapies and identify methodologic weaknesses in previous studies. …”
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In silico analysis of hub genes and regulatory networks implicates the putamen in non-motor Parkinson’s disease disorders by Stephen Tunmise Akanbi, Joshua Ayodele Yusuf, Thompson Oluwaferanmi Ayandele, Dayo Samson Oladipupo, Darasimi Racheal Olorunlowu, Blessing Dorcas Olawuyi, Joshua Oluwafisayo Adepoju, Dolapo Emmanuel Opasina, Elizabeth Kehinde Opoola, Uchenna Victor Ugwuanyi, Olufunto Omodele Adeleye

“…Also, we constructed transcription factor (TF)-hub gene expression networks, miRNA-hub gene expression networks, and disease hub gene association networks using the JASPAR database, Tarbase database, and DisGeNET via NetworkAnalyst platform, respectively. …”
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MASFNet: Multi-level attention and spatial sampling fusion network for pine wilt disease trees detection by Dong Ren, Meng Li, Ziyu Hong, Li Liu, Jingfeng Huang, Hang Sun, Shun Ren, Pan Sao, Wenbin Wang, Jingcheng Zhang

“…To mitigate these challenges, we propose a multi-level attention and spatial sampling fusion network (MASFNet) to reduce false detection problems. …”
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Extended depth-of-field microscopic imaging for intact histological samples via self-calibrated diplane network by Yuezhi He, Xu Yang, Shiwei Ye, Zonghua Wen, Peng Liu, Hui Li, Feng Xiang, Jiuling Liao, Yizhou Tan, Haoyong Ning, Junjie Zou, Guilu He, Long Zeng, Yanwu Guo, Hui Li, Ying Gu, Bo Wang, Wei Zheng

“…The system first integrates two cameras positioned at two distinct imaging planes to simultaneously acquire images and then combines the images with a self-calibrated diplane network. The overall DOF of the system is enhanced over eight-folds, and the image acquisition speed is increased by more than seven times. …”
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Forestry and wood technology research and education network for climate change adaptation strategies and ASFORCLIC - HORIZON 2020 project by Kyriaki Giagli, Kathrin Böhling, Tobias Mette, Aleš Kučera, Torben Hilmers, Petr Čermák

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Node-Gosper Curve-Based Unknown Sensor Localization Using Single Mobile Anchor in Wireless Sensor Networks by Chi-Chang Chen, Sheng-Bo Wang

“…The node-Gosper curve is a fractal space-filling curve constructed by recursively replacing each node by a seven-segment generator curve. Here, we propose a novel scheme for describing the path of a node-Gosper curve; the scheme can be used to calculate the coordinates of each turning point of the curve efficiently. …”
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Building a culture of quality in maternal and newborn health: experience from the quality, equity and dignity network in Ethiopia by Anene Tesfa Berhanu, Asebe Amenu Tufa, Seblewengel Lemma, Geremew Gonfa, Theodros Getachew, Desalegn Bekele, Fitsum Kibret, Nehla Djellouli, Tim Colbourn, Tanya Marchant

“…The Quality Equity and Dignity (QED) network was a global initiative working toward this objective, focusing on maternal and newborn health. …”
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