The Influence of Contexts in the Process of Choosing a University Product by Dumitru Miron, Raluca Ecaterina Brandabur, Daniel Nicolae Măiță, Flavius Cosmin Darie, Dumitru Goldbach, Ion-Dănuț Lixandru

“…Furthermore, the research sought to establish the desirable level of econometric robustness of the basic vectors in the decision-making process regarding the selection of a specific set of competencies and cognitive skills promised by the study programmes. …”
Get full text

RATIONAL MANAGEMENT OF TRANSPORT COMPANIES OPERATING IN THE SAME REGION IN TERMS OF COMPETITION AND UNCERTAINTY by G. A. Kryzhanovskii, V. P. Maslakov, I. A. Ilinykh

Get full text

THE PROBLEM OF RATIONAL CHOICE OF OPTIONS OF TRANSPORT COMPANY DIVERSIFICATION by G. A. Kryzhanovskii, V. P. Maslakov, I. A. Ilinykh

“…The necessity of using of heuristic methods take account of uncertainties in each of the transport company activities when choosing a rational variant of the vector control of dynamic processes related to performance indicators, built on the basis of poly-criteria evaluation.…”
Get full text

Enhanced Hyperspectral Forest Soil Organic Matter Prediction Using a Black-Winged Kite Algorithm-Optimized Convolutional Neural Network and Support Vector Machine by Yun Deng, Lifan Xiao, Yuanyuan Shi

Get full text

THE TASK OF MINIMAX ADAPTIVE MANAGEMENT OF INNOVATIVE PROCESSES AT AN ENTERPRISE WITH RISK ASSESSMENT by Vitalina Babenko, Elena Alisejko, Zoya Kochuyeva

“…The subject matter of the article is a discrete dynamic system that consists of an object whose dynamics is described by a vector linear discrete recurrent relation and is affected by control parameters (managements) and uncontrolled parameters (the vector of risks or interference). …”
Get full text

A Model Predictive Algorithm for Active Control of Nonlinear Noise Processes by Qi-Zhi Zhang, Woon-Seng Gan, Ya-li Zhou

Get full text

Detection of mite infested saffron plants using aerial imaging and machine learning classifier by Hossein Sahabi, Jalal Baradaran-Motie

Subjects: Get full text

An Effective ABC-SVM Approach for Surface Roughness Prediction in Manufacturing Processes by Juan Lu, Xiaoping Liao, Steven Li, Haibin Ouyang, Kai Chen, Bing Huang

“…In this study, support vector machine (SVM) is applied to develop prediction models for machining processes. …”
Get full text

The Generalized Sidelobe Canceller Based on Quaternion Widely Linear Processing by Jian-wu Tao, Wen-xiu Chang

“…We investigate the problem of quaternion beamforming based on widely linear processing. First, a quaternion model of linear symmetric array with two-component electromagnetic (EM) vector sensors is presented. …”
Get full text

Machine Learning-Based Recommender System for Pulsed Laser Ablation in Liquid: Recommendation of Optimal Processing Parameters for Targeted Nanoparticle Size and Concentration Usin... by Anesu Nyabadza, Dermot Brabazon

Get full text

Using Fuzzy Feed-Forward Neural Network for Linguistic Processing by AbdulRahim K. Rah, Sozan S. Haydar

Get full text

Research on Classification of Rail Defects Based on Image Processing Algorithm by Mengying HUANG, Jiangping LUO, Wenxing WANG, Jingwei CAO

“…Therefore, a classification for rail defects based on image processing algorithm was proposed. Firstly, the Tamura texture feature algorithm was combined with the local binary pattern algorithm to extract the feature values of the defect images, and form feature vectors. …”
Get full text

Consequences of the Potential Gauging Process for Modeling Electromagnetic Wave Propagation by Thomas Reum

Get full text

Identification of Turmeric Rhizomes Using Image Processing and Machine Learning by Shubhangi Patil, Gouri Patil

“…The classification of different rhizome types is carried out by using image processing techniques followed by K-Nearest Neighbor (KNN), Support Vector Machine (SVM), Naïve Bayes (NB), Random Forest (RF) and Linear Discriminant Analysis (LDA) classifiers. …”
Get full text

Applying Genetic Algorithm for test pattern generation process optimization by V. I. Kuraedov

“…It includes testing interaction and compatibility of different system elements, such as central processing unit, memory and various peripheral devices. …”
Get full text

Parametric evaluation and predictive modelling of formability in μ-SPIF process by Sahu Vijay Kumar, Das Purnendu, Adhikary Avishek, Bandyopadhyay Kaushik

“…Tri-layered Neural Network, Quadratic Support Vector Machine, and Gaussian Process Regression are developed based on experimental data to predict the formed height and the surface roughness. …”
Get full text

Preparation process of ulva oligosaccharides by self-immobilized enzyme method by YANG Qing, HONG Zhuan, ZHANG Yiping, XIE Quanling, CHEN Weizhu, FANG Hua, WU Jing, JIANG Xian, ZHANG Longtao, JIN Wenhui

Get full text

Improving soil moisture prediction using Gaussian process regression by Xiaomo Zhang, Xin Sun, Zhulu Lin

“…In this study, machine learning models including multilinear regression (MLR), support vector machine (SVM), and Gaussian process regression (GPR), were developed and compared for soil moisture predictions at different depths at 29 weather stations in the Red River Valley using features such as time, locations, meteorological data, soil physical properties, and remote sensing data. …”
Get full text

Stock Price Prediction Based on Natural Language Processing1 by Xiaobin Tang, Nuo Lei, Manru Dong, Dan Ma

“…This study designs a new text mining method for keywords augmentation based on natural language processing models including Bidirectional Encoder Representation from Transformers (BERT) and Neural Contextualized Representation for Chinese Language Understanding (NEZHA) natural language processing models. …”
Get full text

Engineering thinking: Vectors of development in the context of the transformation of the scientific picture of the world by L. M. Andryukhina, B. N. Guzanov, S. V. Anakhov

“…Considerable attention is paid to the training of highly qualified engineering personnel today. But the ongoing processes of convergence, the emergence of end-to-end technologies radically change not only the technological platform of production, but lead to changes in the scientific picture of the world, which directly affects the nature of engineering thinking, expanding its range far beyond the technical sphere. …”
Get full text