Quantum resonant dimensionality reduction by Fan Yang, Furong Wang, Xusheng Xu, Pan Gao, Tao Xin, ShiJie Wei, Guilu Long

“…The simulation results indicate that reduced data extremely improved the processing efficiency following the application of QRDR. …”
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STUDY ON MECHANICAL PROPERTIES OF SPATIAL INTERSECTION CONCAVE HONEYCOMB STRUCTURE

“…As a typical negative Poisson's ratio structure,the concave hexagon is commonly used in modern energy absorption devices.Based on the honeycomb structure and the concave hexagon,five kinds of structures were firstly obtained through space intersection design.The deformation mechanism and structural mechanical characteristics of five kinds of structures were discussed by finite element simulation and compression test.Then,the transient equivalent calculation method of structural counter-force was given by using vector analysis method,and the calculation formulas of counter-force,collision velocity and acceleration were derived.Counter-force calculation results were compared with compression test,and the test results were basically consistent with the theoretical results.Finally,the optimal structure was filled into the crash box,and the collision simulation analysis was processed with the new crash box.It is found that the mechanical properties of concave honeycomb stucture(CHS)cells with negative Poisson's ratio are better than those of the traditional honeycomb structure(THS).In the second type of structure,C-C structure can increase the structural deformation and reduce the stress.And the stress distribution of C-C structure is more uniform than that of the other structure.The collision simulation results show that the C-C structure crash box can greatly reduce the peak values of speed and acceleration,and the acceleration value is far less than the 40g,which reaches standard in the vehicle collision specification.At the same time,compared with the traditional crash box structure,the energy absorption of the new designed sandwich structure crash box is improved by more than 3 times.…”
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Prediction of permeability of amended soil using ensembled artificial intelligence models by Ankit Kumar, Rohit Ahuja

“…Abstract Soil permeability is a critical parameter that dictates the movement of water through soil, and it impacts processes such as seepage, erosion, slope stability, foundation design, groundwater contamination, and various engineering applications. …”
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Enhancing cardiac disease detection via a fusion of machine learning and medical imaging by Tao Yu, KeYue Chen

“…During the preprocessing phase, essential visual elements are collected from medical pictures utilizing image processing methods and convolutional neural networks (CNNs). …”
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Edge vs. Cloud: Empirical Insights into Data-Driven Condition Monitoring by Chikumbutso Christopher Walani, Wesley Doorsamy

“…The tested induction machine fault diagnosis models are developed using popular algorithms, namely support vector machines, k-nearest neighbours, and decision trees. …”
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Optimization of IoT-Based Motion Intelligence Monitoring System by Jian Qiao, Zhendong Zhang, Enqing Chen

“…The framework contains components such as active acquisition nodes, wireless access points, data processing servers, and terminals. In terms of algorithm optimization, research related to active pattern recognition and periodic calculation methods is conducted. …”
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Sentiment Analysis of Netizens on Constitutional Court Rulings in the 2024 Presidential Election by Wahyudi Ariannor, Sami M A B Alshalwi, Budi Susarianto

“…This research explores sentiment analysis of the Constitutional Court’s decisions, especially in the context of the presidential election, using the Support Vector Machine (SVM), Logistic Regression, and Naive Bayes algorithms. …”
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Bacterial Disease Detection of Cherry Plant Using Deep Features by Hatice Kayhan, Emrah Dönmez, Yavuz Ünal

“…These systems help to monitor all processes from planting, cultivation, and harvesting of agricultural products and to make decisions to grow the products healthily. …”
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Red Fluorescent Protein DsRed from Discosoma sp. as a Reporter Protein in Higher Plants by Christof Dietrich, Edgar Maiss

“…For simultaneous imaging of different processes, in vivo mutants of GFP with shifted wavelength spectra (e.g., blue fluorescent protein) are conventionally used. …”
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Comparative analysis of regression algorithms for drug response prediction using GDSC dataset by Soojung Ha, Juho Park, Kyuri Jo

“…Results In the experiments, Support Vector Regression algorithm and gene features selected with LINC L1000 dataset showed the best performance in terms of accuracy and execution time. …”
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THE NEW PRAGMATISM OR THE ECONOMY OF THE FUTURE by G.W. Kolodko

“…What we need is a systemic approach to understanding of the individual’s rights and duties that would contribute to the social unity and economic development.We deal with the basic principles underlying the social and economic processes with its economic goals. The most important thing here is probably the balanced and long-term development of social and economic relations.However, there are some other specific principles that should become the foundation of the practical component that identifies the vector of the political and economic strategy thought in the future. …”
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Robust Direct Torque Control with Super-Twisting Sliding Mode Control for an Induction Motor Drive by Saber Krim, Soufien Gdaim, Mohamed Faouzi Mimouni

“…A field-programmable gate array- (FPGA-) based nonlinear Direct Torque Control (DTC) associated with Space Vector Modulation (SVM), Input-Output Feedback Linearization (IOFL), and second-order super-twisting speed controller is proposed to control an induction motor drive. …”
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Latin American Populism: historical context and modern trends by P. P. Yakovlev, N. M. Yakovleva

“…Up to this day, populists of different beliefs largely form a vector of socio-economic development of an entire region. …”
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Deep learning-based sex estimation of 3D hyoid bone models in a Croatian population using adapted PointNet++ network by Ivan Jerković, Željana Bašić, Ivana Kružić

“…Subsequently, supervised classification with a support vector machine yielded an accuracy of 88.71% (Matthews Correlation Coefficient, MCC = 0.7746) on a test set (n = 62). …”
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Regional Funds of Scientific and Innovation Activity Support: Institutional Aspect by T. N. Topoleva

“…Shaping innovation economy in Russia stipulates passing-over from traditional partial models to system-integrated models of development accompanied by building institutional vector of succession of federal and regional institutions. …”
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TRANSDISCIPLINARY MODEL OF A CONTEMPORARY EFFECTIVE MANAGER by N. Khmelkova

“…The author suggests that in order to manage people, assets, processes effectively the modern managers must cognize the subject of management across the spectrum of all its forms, understand and adopt its complicated nature as well as master to work in this not easy reality.…”
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A New Hybrid Model for Underwater Acoustic Signal Prediction by Guohui Li, Wanni Chang, Hong Yang

“…The prediction of underwater acoustic signal is the basis of underwater acoustic signal processing, which can be applied to underwater target signal noise reduction, detection, and feature extraction. …”
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Word Embedding for Semantically Relative Words: an Experimental Study by Maria S. Karyaeva, Pavel I. Braslavski, Valery A. Sokolov

“…Each word can be represented as a vector, so the closest coordinates of vectors can be interpreted as similar words. …”
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SEARCH ALGORITHM FOR THE PARAMETRIC IDENTIFICATION OF THE ELECTRIC DRIVE OF THE MONITORING SYSTEM by A. S. Abufanas, A. A. Lobaty, A. G. Shvedko

“…When solving the problem, the random character of the processes occurring in the system and at the output of the output signal meter is taken into account. …”
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A Comprehensive Survey on AI in Counter-Terrorism and Cybersecurity: Challenges and Ethical Dimensions by Ioannis Syllaidopoulos, Klimis S. Ntalianis, Ioannis Salmon

“…This paper provides a comprehensive overview of AI methodologies, such as predictive analytics, Natural Language Processing (NLP), and machine learning architectures (e.g., Support Vector Machines – SVM and Long Short-Term Memory – LSTM), and optimization algorithms (e.g., Particle Swarm Optimization – PSO), assessing their effectiveness in security applications. …”
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