Denoising Method for MRI Images Using Modified BM3D Filter with Complex Network and Artificial Neural Networks by Trong-Thanh Han, Hinh Nguyen Van, Phat Nguyen Huu

“…In this study, a combination model between the features of complex networks and artificial neural networks is proposed to automatically find the noise reduction parameter of the block-matching and 3D filtering method. …”
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Rancang Bangun Alat Pengenal Finger Vein Menggunakan Raspberry Pi dengan Metode Convolutional Neural Network (CNN) by Barlian Henryranu Prasetio, Jevandika, Dahnial Syauqy

“…Oleh karena itu pada penelitian ini akan mengusung judul Rancang Bangun Alat Pengenal Finger Vein Menggunakan Raspberry Pi Dengan Metode Convolutional Neural Network (CNN). Penelitian ini menggunakan sistem berbasis Raspberry Pi 4 dengan bantuan IR LED dan webcam untuk proses akusisi data citra pembuluh darah jari, yang diharapkan mampu melakukan proses pengenalan Finger Vein lebih cepat, dan penggunaan metode Convolutional Neural Network yang sudah teruji untuk menghasilkan akurasi yang lebih baik dengan proses Deep Learning. …”
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Volt/VAr Regulation of the West Mediterranean Regional Electrical Grids Using SVC/STATCOM Devices With Neural Network Algorithms by H. Feza Carlak, Ergin Kayar

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Dynamic Coupling Analysis of Vehicle-Bridge System for Long-Span Suspension Bridge Based on Backpropagation Neural Network Method by Zuolong Luo, Xiaobo Zheng, Haoyun Yuan, Xirong Niu

“…To overcome these drawbacks mentioned above, the backpropagation (BP) neural network technology is proposed to the dynamic coupling analysis of the vehicle-bridge system of long-span suspension bridges. …”
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AI-driven prediction of drug activity against Toxoplasma gondii: Data augmentation and deep neural networks for limited datasets by Natalia V. Karimova, Ravithree D. Senanayake

“…This Artificial Intelligence (AI)-driven Quantitative Structure-Activity Relationship (QSAR) study applies deep neural networks (DNNs) to predict pIC50 values for potential inhibitors, using 2D and 3D molecular descriptors and fingerprints. …”
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Study of Montmorillonite Clay for the Removal of Copper (II) by Adsorption: Full Factorial Design Approach and Cascade Forward Neural Network by Nurdan Gamze Turan, Okan Ozgonenel

“…A 24 factorial design and cascade forward neural network (CFNN) were used to display the significant levels of the analyzed factors on the removal efficiency. …”
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Construction of Value Chain E-Commerce Model Based on Stationary Wavelet Domain Deep Residual Convolutional Neural Network by Chenyuan Wang

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Analysis of Protein-Ligand Interactions of SARS-CoV-2 Against Selective Drug Using Deep Neural Networks by Natarajan Yuvaraj, Kannan Srihari, Selvaraj Chandragandhi, Rajan Arshath Raja, Gaurav Dhiman, Amandeep Kaur

Subjects: “…deep neural network (dnn)…”
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Evaluation of the Urban Low-Carbon Sustainable Development Capability Based on the TOPSIS-BP Neural Network and Grey Relational Analysis by Wei Zhang, Xinxin Zhang, Fan Liu, Yan Huang, Yuwei Xie

“…An index system of urban low-carbon sustainable development capability is constructed in this paper, and a TOPSIS-BP neural network model is established to evaluate the low-carbon sustainable development capability of Beijing, Shanghai, Shenzhen, and Guangzhou in China. …”
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Prediction of Hourly PM2.5 and PM10 Concentrations in Chongqing City in China Based on Artificial Neural Network by Qingchun Guo, Zhenfang He, Zhaosheng Wang

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Development of malaria diagnosis with convolutional neural network architectures: a CNN-based software for accurate cell image analysis. by Emrah ASLAN

“…In this paper, a Convolutional Neural Network (CNN) architecture is proposed to distinguish between parasitized and non-parasitized cells. …”
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Neural Network Compensation Control for Output Power Optimization of Wind Energy Conversion System Based on Data-Driven Control by T. Li, A. J. Feng, L. Zhao

“…In order to improve the efficiency of the neural network training, three different learning rules are compared. …”
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Enhancing Clinical Assessment of Skin Ulcers with Automated and Objective Convolutional Neural Network-Based Segmentation and 3D Analysis by Rosanna Cavazzana, Angelo Faccia, Aurora Cavallaro, Marco Giuranno, Sara Becchi, Chiara Innocente, Giorgia Marullo, Elia Ricci, Jacopo Secco, Enrico Vezzetti, Luca Ulrich

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Evaluating 28-Days Performance of Rice Husk Ash Green Concrete under Compression Gleaned from Neural Networks by Sharanjit Singh, Harish Chandra Arora, Aman Kumar, Nishant Raj Kapoor, Kennedy C. Onyelowe, Krishna Kumar, Hardeep Singh Rai

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Stability Analysis of Impulsive Stochastic Reaction-Diffusion Cellular Neural Network with Distributed Delay via Fixed Point Theory by Ruofeng Rao, Shouming Zhong

“…This paper investigates the stochastically exponential stability of reaction-diffusion impulsive stochastic cellular neural networks (CNN). The reaction-diffusion pulse stochastic system model characterizes the complexity of practical engineering and brings about mathematical difficulties, too. …”
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Modeling and Optimization of the BSCF-Based Single-Chamber Solid Oxide Fuel Cell by Artificial Neural Network and Genetic Algorithm by Minh-Vien Le, Tuan-Anh Nguyen, T.-Anh-Nga Nguyen

“…The empirical regression models, such as artificial neural networks (ANNs), can be used as a black-box tool to simulate systems without solving the complicated physical equations merely by utilizing available experimental data. …”
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VMLP neural network design using optimization algorithms to predict spider suspend (Case Study: Watershed Dam Kardeh) by masooume darmani, mohammad nohtani, haydeh ara, Ali golkarian, Salman Sharif Azari

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Mapping fruit tree dynamics using phenological metrics from optimal Sentinel-2 data and Deep Neural Network by Yingisani Chabalala, Elhadi Adam, Mahlatse Kganyago

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Comparative analysis of neural network models performance on low-power devices for a real-time object detection task by A. Zagitov, E. Chebotareva, A. Toschev, E. Magid

“…The paper presents results of benchmarks on popular deep neural network models, which are often used for this task. …”
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Neural networks-based event-triggered consensus control for nonlinear multiagent systems with communication link faults and DoS attacks by Yanming Wu, Zelun Wang, Guanglei Meng, Jinguo Liu

Subjects: “…neural networks…”
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