The On-Chip D-LMS Filter Design Method of Wireless Sensor Node Based on FPGA by Jian Li, Maojin Li, Ming Meng, Zepeng Liu

“…This method will provide a powerful theoretical method to solve the problem of high-precision and fast source positioning and provide technical support for the development of high-speed and real-time source positioning instruments.…”
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Stability Rating of Mine Rock Slope Based on Artificial Intelligence by Hao Li

“…On the basis of summarizing and analyzing previous research works, this paper expounded the current research status and significance of mine rock slope stability rating, elaborated the development background, current status, and future challenges of artificial intelligence methods, introduced the principles of the limit equilibrium method and finite element method, constructed an artificial intelligence-based mine rock slope stability calculation model, performed slope stability influencing factors’ analysis and optimization model parameter selection, proposed a mine rock slope stability rating algorithm based on artificial intelligence, analyzed the rating algorithm design and rating algorithm implementation, and finally conducted a case analysis and its discussion. …”
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THE CLINICAL CONFERENCE AS GUIDANCE TO FORMING INTERNS’ PROFESSIONAL COMPETENCIES DURING FORMATION IN THE UMSA’S DEPARTMENT OF POSTGRADUATED EDUCATION OF DENTISTS by T.P. Skripnikova, M.V. Khrebor, Ju. I. Sylenko, O.A. Pisarenko

“…During the examination of the patient the knowledge of internal diseases, the pathophysiological substantiation of the symptoms, the use of paraclinical examination methods in the structure of the diagnostic algorithm and the development of the correct tactical and therapeutic approach to the patient are updated. …”
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Generalized Inverse of Quadri-Partitioned Neutrosophic Fuzzy Matrices and its Application to Decision-Making Problems by R. Jaya, S. Vimala

“…In this study, we establish necessary and sufficient conditions for the existence of the g-inverse and develop an efficient algorithm for its computation. …”
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Understanding levels of best practice: An empirical validation. by Huy P Phan, Bing H Ngu, Hui-Wen Wang, Jen-Hwa Shih, Sheng-Ying Shi, Ruey-Yih Lin

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Predictive Model for Erosion Rate of Concrete Under Wind Gravel Flow Based on K-Fold Cross-Validation Combined with Support Vector Machine by Yanhua Zhao, Kai Zhang, Aojun Guo, Fukang Hao, Jie Ma

“…Ultimately, the SVM algorithm is highly effective in developing a reliable prediction model for CER. …”
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Art collaboration as a branding tool for the post-industrial region by Igor M. Alikperov, Aleksey A. Mezyurov

“…The results of the study show that the use of art collaborations at the moment is a promising vector for the development of territories, so the authors plan to continue this study in terms of studying possible organizational forms of partnership, an art collaboration algorithm, which will allow the territory to become a competitive space not only to attract the attention of tourists and entrepreneurs from other regions, but will also strengthen the loyalty and patriotism of the inhabitants of the territory.…”
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Research on productivity prediction method of infilling well based on improved LSTM neural network: A case study of the middle-deep shale gas in South Sichuan by GUAN Wenjie, PENG Xiaolong, ZHU Suyang, YANG Chen, PENG Zhen, MA Xiaoran

“…During the development of middle and deep gas reservoirs in South Sichuan, conventional reservoir engineering methods—such as fracture propagation, stress-induced analysis, and numerical simulation—render productivity prediction of infilling wells laborious and ineffective in addressing variations in production capacity across different production stages, with stringent application conditions. …”
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INFLATION OF THE COMPETENCE-BASED APPROACH IN THE RUSSIAN PEDAGOGICAL SCIENCE AND PRACTICAL TEACHING by A. P. Usol'tsev

“…The framework of application of competence-based approach is designated: it is effective if trainees are trained for performance of unambiguously described, algorithmic professional functions; it is of little use for training of specialists whose future professional activity means a big share of a productive, creative component; it is irrational in school education which is aimed at the general development, but not at early narrow specialization which does not allow to be created to a complete picture of the world and leads to loss of fundamental nature of the general education. …”
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Route Generation and Built Environment Behavioral Mechanisms of Generation Z Tourists: A Case Study of Macau by Ying Zhao, Pohsun Wang, Yafeng Lai

“…This study offers a novel integration of psychological theory and computational optimization, providing both theoretical insights and practical implications for urban tourism planning and the development of smart tourism services.…”
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A Comprehensive Review of MI-HFE and IPHFE Cryptosystems: Advances in Internal Perturbations for Post-Quantum Security by Yong Wang, Lingyue Li, Ying Zhou, Huili Zhang

“…The RSA cryptosystem has been a cornerstone of modern public key infrastructure; however, recent advancements in quantum computing and theoretical mathematics pose significant risks to its security. …”
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Modeling of Thermal Conductivity in a Medium with Phase Transition with a Moving Boundary of Phase Change by Mizonov V.E., Tikhonov A.I., Basova E.V., Mitrofanov A.V.

“…This work is devoted to the theoretical study of the effect of the phase interface motion on thermal conductivity in a liquid-solid nonlinear medium with a phase transition. …”
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Inflation Targeting: Eliminating Economic Growth and Structural Deformation in Russia by О. S. Sukharev, E. N. Voronchikhina

“…Taking into account these methods, an algorithm has been developed to assess the impact of price dynamics and its targeting on macroeconomic dynamics and structure of the economy. …”
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PV<i>k</i>NN: A Publicly Verifiable and Privacy-Preserving Exact <i>k</i>NN Query Scheme for Cloud-Based Location Services by Jingyi Li, Yuqi Song, Chengliang Tian, Weizhong Tian

“…This paper is dedicated to advancing the resolution of these challenges and presents novel contributions to the development of efficient and secure exact <i>k</i>NN query schemes tailored for spatial datasets in cloud-based location services. …”
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Quantitative Evaluation of Mechanical Properties of Hydrogen Transmission Pipelines Based on Weak Magnetic Detection by Siyang Wang, Xianglong Sun, Xingyuan Miao, Haimu Ye

“…With the rapid development of the hydrogen energy industry, long-distance hydrogen transportation based on natural gas pipelines has emerged as a crucial technique. …”
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The “Decline” of Messages and the “Rise” of Information: Reflections on Communication as a Selection System by Nur Imroatus Sholikhah

“…The rapid development of digital technology has fundamentally transformed the landscape of contemporary communication studies. …”
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Energy storage efficiency modeling of high-entropy dielectric capacitors using extreme learning machine and swarm-based hybrid support vector regression computational methods by Yas Al-Hadeethi, Taoreed O. Owolabi, Mouftahou B. Latif, Bahaaudin M. Raffah, Ahmad H. Milyani, Saheed A. Tijani

“…The dependency of energy storage efficiency on coercive energy and concentration of dopants in A and B-sites of the perovskite was established using the developed SG-ELM model. The precision and accuracy demonstrated by the developed intelligent models facilitate efficiency enhancement in high-entropy ceramic systems for many energy storage applications with the ultimate goal of addressing the global energy challenges.…”
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Data driven multi-objective optimization of sustainable aviation emergency network for forest fire rescue by Jun Huang, Qiuhong Zhao

“…Further, a case of Hainan Province in China is studied, guiding the application of the proposed theoretical methods. The findings demonstrate considerable value in addressing forest fires and safeguarding forest resources, thereby contributing to the sustainable development of both the environment and society.…”
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THE USE OF NEURAL NETWORKS FOR THE AUTOMATIC ANALYSIS OF ELECTROCARDIOGRAMS IN DIAGNOSIS OF CARDIOVASCULAR DISEASES by G. I. Kachayeva, A. G. Mustafayev

“…The efficiency of the developed neural network model for ECG analysis was investigated using the MIT-BIH arrhythmia database.Results The accuracy of detection and extraction of the components of the ECG signal shows that the developed neural network model can be successfully used to detect heart diseases among patients. …”
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Method and experimental verification of spatial attitude prediction for an advanced hydraulic support system under mining influence by Zhuang Yin, Kun Zhang, ZengBao Zhang, Hongyue Chen, Lingyu Meng, Zhen Wang, Mingchao Du, Xiangpeng Hu, Defu Zhao, Dan Tian

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