Models, systems, networks in economics, engineering, nature and society by S.I. Noskov, E.S. Popov

“…The approach described in the work allows us to combine the advantages of the least modulus and anti-robust estimation methods when modeling. A regression model of freight turnover of road transport in the Russian Federation has been constructed that is adequate to the analyzed object. …”

SELECTING OPTIMAL PROCESS PARAMETERS OF Al2O3/C COMPOSITE USING GRA WITH PCA AND TAGUCHI’S QLF APPROACH by Idrus Syahzaqi, Hani Brilianti Rochmanto, Muhammad Ahsan

“…The result was the best model based on the Quality Loss Function, because the method has the biggest determination coefficient value is 99,97% where the results is better than GRA with PCA. …”
Get full text

Dry sliding tribological characteristics evaluation and prediction of TiB2-CDA/Al6061 hybrid composites exercising machine learning methods by Amit Aherwar, Anamika Ahirwar, Vimal Kumar Pathak

Get full text

Cyber security entity recognition method based on residual dilation convolution neural network by Bo XIE, Guowei SHEN, Chun GUO, Yan ZHOU, Miao YU

“…In recent years,cybersecurity threats have increased,and data-driven security intelligence analysis has become a hot research topic in the field of cybersecurity.In particular,the artificial intelligence technology represented by the knowledge graph can provide support for complex cyberattack detection and unknown cyberattack detection in multi-source heterogeneous threat intelligence data.Cybersecurity entity recognition is the basis for the construction of threat intelligence knowledge graphs.The composition of security entities in open network text data is very complex,which makes traditional deep learning methods difficult to identify accurately.Based on the pre-training language model of BERT (pre-training of deep bidirectional transformers),a cybersecurity entity recognition model BERT-RDCNN-CRF based on residual dilation convolutional neural network and conditional random field was proposed.The BERT model was used to train the character-level feature vector representation.Combining the residual convolution and the dilation neural network model to effectively extract the important features of the security entity,and finally obtain the BIO annotation of each character through CRF.Experiments on the large-scale cybersecurity entity annotation dataset constructed show that the proposed method achieves better results than the LSTM-CRF model,the BiLSTM-CRF model and the traditional entity recognition model.…”
Get full text

Identification of the elastic characteristics of a composite material based on the results of tests for the stability of panels made from it by R.A. Kayumov, B.F. Tazyukov, I.Z. Muhamedova, F.R. Shakirzyanov

Get full text

Climate gradient‐driven intraspecific aggregation propensity linked to interpatch modulation in grassland communities by Huaiqiang Liu, Xinyu Wang, Zhiying Liu, Saihanna Jaesong, Jiayue Liu, Qianhui Yang, Ning Wang, Xiaotian Gao, Yarong Feng, Haoxin Li, Jianru Chai, Jialu Zhang, Kexin Li, Frank Yonghong Li

Subjects: Get full text

Investigating the contribution of geometry on the failure of cellular core structures obtained by additive manufacturing by Hugo Ara�jo, Marco Leite, A.M.R. Ribeiro, Augusto M. Deus, Luis Reis, M.F. Vaz

Subjects: “…Cores of sandwich composites…”
Get full text

Weibull Statistic and Artificial Neural Network Analysis of the Mechanical Performances of Fibers from the Flower Agave Plant for Eco-Friendly Green Composites by Imen Lalaymia, Ahmed Belaadi, Messaouda Boumaaza, Hassan Alshahrani, Mohammad K. A. Khan, Amar Dib

“…The ANN provided correlation coefficients (R2) of 0.9897, 0.9971, 0.9993, and 0.9939 for training, validation, testing, and all datasets respectively, which were able to accurately predict the experimental data. The proposed model would be of tremendous assistance to engineers and designers in obtaining green composite materials that are based on natural fibers and thereby more durable. …”
Get full text

Comparison of the Methods for Predicting the Critical Temperature and Critical Pressure of Petroleum Fractions and Individual Hydrocarbons by Evdokia Sotirova, Svetlin Vasilev, Dicho Stratiev, Ivelina Shishkova, Sotir Sotirov, Radoslava Nikolova, Anife Veli, Veselina Bureva, Krassimir Atanassov, Vanya Georgieva, Denis Stratiev, Svetoslav Nenov

“…Consequently, effective methods for predicting critical temperature and pressure must account for a wide range of compositional scenarios. …”
Get full text

A Data Protection Method for the Electricity Business Environment Based on Differential Privacy and Federal Incentive Mechanisms by Xu Zhou, Hongshan Luo, Simin Chen, Yuling He

Get full text

A numerical approach for estimating the effective elastic properties of honeycomb structures by Nguyen Trung Kien, Nguyen Anh Minh

“…The theory is based on the homogenization method for periodic composite materials. Abaqus software is used to model the localization elastic problem on a representative volume element and then the balance of micro-macroscopic deformation energy enables to calculate homogenized elastic moduli of the honeycomb core. …”
Get full text

The Effect of Fiber Orientation and Crack on Dynamic Characteristics of a Unidirectional Composite Cantilevered Wing Plate by Faisal Ramadhan, Rianto Adhy Sasongko, Leonardo Gunawan, Mahesa Akbar, Djarot Widagdo

Get full text

A novel method for predicting the geochemical composition of tailings with laboratory field and hyperspectral airborne data using a regression and classification-based approach by Yaron Ogen, Michael Denk, Cornelia Glaesser, Holger Eichstaedt

Get full text

Prediction of the digestibility and digestible energy content of hay for horses using an enzymatic degradability method by D. Andueza, W. Martin-Rosset

“…The proposed models represent an alternative approach to the existing models for predicting the nutritive value and DE content of hay from their chemical composition.…”
Get full text

METHODS AND MODELS OF RESEARCH OF INVESTMENT ATTRACTIVENESS AND COMPETITIVENESS OF PROJECT-ORIENTED ENTERPRISE IN THE PROCESS OF CREATING INNOVATIVE HIGH-TECH by Oleg Fedorovich, Viktor Kosenko, Liudmyla Lutai, Iaroslav Zamirets

“…Tasks to be solved are: to use component method for the analysis of innovativeness of created high-tech products; to study investment attractiveness of an innovation project with the use of expert assessments and the method of planning experiments; to substantiate the composition of a diversification project portfolio for investment taking into account the limited possibilities of the enterprise based on the method of integer optimization; to study the performance of the project portfolio using agent-based imitational modeling. …”
Get full text

Crashworthiness and optimization for foam-filled multi-layer composite lattice structures by Jiye Chen, Wangwang He, Hai Fang, Yong Zhuang, Zhixiong Zhang, Yufeng Zhao

“…The finite element method was adopted to investigate the compressive behavior of the FMCLSs. …”
Get full text

Optimizing Bioceramic Composites for Hip Joint Replacements using SPS Method: Investigating the Effects of Titanium Diboride (TiB2) on Tribological Properties by Pavankumar Ravikumar, Goud Mallesh, S. Suresh Kumar, H. S. Manjunatha

Get full text

Characterization of Oxygen Diffusion and Catalytic Behavior of Composite Materials in Solid Oxide Fuel Cells Using the Non-destructive Adler-Lane-Steele Method by Azreen Junaida Abd Aziz, Nurul Akidah Baharuddin, Bee Huah Lim

“…Hence, the aim of this paper is to validate the area-specific resistance of composite electrodes using the ASL modeling technique rather than the standard EIS analysis. …”
Get full text

A Multi-Scale Approach for Finite Element Method Structural Analysis of Injection-Molded Parts of Short Fiber-Reinforced Polymer Composite Materials by Young Seok Cho, Byungwook Jeon, Juwon Min, Kiweon Kang, Haksung Lee

Get full text

Numerical Analysis of the Characteristics of the Heat Treatment Process of Multilayer Composite Products in Heat Technology Installations by V. N. Romaniuk, A. M. Niyakovskii, A. N. Chichko, Yu. V. Yatskevich, Т. N. Ryzhova

Get full text