Using Division Method to Convert the K-Input MIMO System to SISOs System Combined with Optimal Algorithm Application to Control of a Flexible Link System for the Oscillation (K =1,... by Nguyen Cong Danh

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The Digital Era and the Evolution of Media Paradigms: A Critical Review of the Adaptation of Old Media in New Media Ecosystems by Yusnaini Yusnaini, Hayatun Nufus, Rahmat Saleh, Wahyu Adi Setyo Wibowo

“… This study examines the paradigm shift of traditional media in the face of the digital era, focusing on the adaptation processes and forms of media convergence through Norman Fairclough's Critical Discourse Analysis (CDA) approach. The research analyzes the discourse representations of digitalization constructed by four media institutions, BBC, TVRI, Kompas, and The Guardian, through official documents, corporate statements, and strategic content. …”
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Water quality index modelling and its application on artificial intelligence (AI) in conjunction with machine learning (ML) methodologies for mapping surface water potential zones... by Abhijeet Das

“…To evaluate the contamination level, a basic standard reference i.e., World Health Organization guidelines is implanted to decipher the values ranging from natural to anthropogenic contribution.In the Mahanadi River Basin, Odisha, however, this study has highlighted the evaluation of surface water quality (WQ) for drinking reasons by the combined use of Machine Learning (ML) methodologies like Genetic Algorithm Particle Swarm Optimization-based WQI (GAPSO-WQI), with dependability-oriented decision-making approaches such as Firefly Algorithm (FA) and Algorithm of Weeds (AW), that have been used for river water quality monitoring and assessment due to their dependability and feasibility. …”
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Three-dimensional design, simulation and optimization of a centrifugal compressor impeller with double-splitter blades by Mohammadjavad Tasharrofi, Mojtaba Heidarian Shahri, Ali Madadi

“…After the emergence of turbo-machines in the industrial field, researchers have always been seeking to increase their efficiency. …”
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Photovoltaic Module Fault Detection Technology Based on Remote Sensing Technology and Deeplabv3+ Model by Xiaowei Xu, Mingxian Liu, Yongjie Nie, Ke Wang, Wenhua Xu

“…Combining remote sensing technology with Deeplabv3+ model, fast and accurate photovoltaic module fault detection can be achieved. The research results indicated that bilateral filtering and gamma filtering algorithms showed superior performance in testing, with the highest indicator evaluation results. …”
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Long-term use of nonsteroidal anti-inflammatory drugs for pain control in patients with osteoarthritis: results of the 12-month observational study AELITA (Analgesia: Effective Tre... by A. E. Karateev, E. Yu. Polishchuk, E. S. Filatova, A. S. Potapova, V. A. Nesterenko, V. N. Amirdzhanova

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Review of optimization modeling and solution of long-distance natural gas pipeline network by Peng ZHOU, Qi WEI

“…Presently, the modeling methods based on the physical attributes are mainly researched for the optimization model of natural gas pipeline networks in China. …”
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Pre-modulated multi-coset sampling system by Huang Zhen, Bai Zhengyao

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Error Analysis and Compensation of 3‒PTT Parallel Robot by CHEN Mingfang, LIANG Hongjian, WEI Songpo, HE Chaoyin

“…Thus, the algorithm is more feasible. In addition, to improve the efficiency of the aforementioned error compensation algorithm, the standard particle swarm optimization algorithm is further enhanced by integrating the dynamic inertia weight value and dynamic learning factor, thus overcoming the problems of precocious convergence to a local optimum and slow convergence in the later iteration of the standard particle swarm optimization algorithm. …”
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Structure and dynamics analysis of brain functional hypernetworks based on the null models by Chen Cheng, Yao Li, Chunyan Wang, Yanli Yang, Hao Guo

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Adversarial attack and defense on graph neural networks: a survey by Jinyin CHEN, Dunjie ZHANG, Guohan HUANG, Xiang LIN, Liang BAO

“…For the numerous existing adversarial attack and defense methods on GNN, the main adversarial attack and defense algorithms of GNN were reviewed comprehensively, as well as robustness analysis techniques.Besides, the commonly used benchmark datasets and evaluation metrics in the security research of GNN were introduced.In conclusion, some insights on the future research direction of adversarial attacks and the trend of development were put forward.…”
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Research on power data security full-link monitoring technology based on alternative evolutionary graph neural architecture search and multimodal data fusion by Zhenwan Zou, Bin Wang, Tao Chen, Jia Chen

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THE MODERN APPROACH TO THE EDUCATIONAL PROCESS FOR DIAGNOSIS IN DENTISTRY by I.A. Ozhogan

“… In this work there are features of delivering the therapeutic dentistry students in dental faculties on the application of diagnostic algorithms to make a diagnosis. One of the main feature of education dentists is to diagnose a patient, ability to use the objective methods of examination and chose the additional and laboratory methods. …”
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Exploring the use of mobile phone data for domestic tourism trip analysis by Maarten Vanhoof, Liane Hendrickx, Aare Puussaar, Gert Verstraeten, Thomas Ploetz, Zbigniew Smoreda

“…Our main contribution is that we describe current barriers and sketch direction for future research.…”
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A systematic mapping to investigate the application of machine learning techniques in requirement engineering activities by Shoaib Hassan, Qianmu Li, Khursheed Aurangzeb, Affan Yasin, Javed Ali Khan, Muhammad Shahid Anwar

“…The authors aim to investigate the research trends, main RE activities, ML algorithms, and data sources that were studied during this period. …”
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THE EUROPEAN SOCIETY FOR CLINICAL AND ECONOMIC ASPECTS OF OSTEOPOROSIS AND OSTEOARTHRITIS (ESCEO) ALGORITHM FOR THE MANAGEMENT OF KNEE OSTEOARTHRITIS IS APPLICABLE TO RUSSIAN CLINI... by L. N. Denisov, E. S. Tsvetkova, G. Sh. Golubev, O. V. Bugrova, I. S. Dydykina, A. I. Dubikov, L. V. Menshikova, L. K. Peshekhonova, A. P. Rebrov, A. N. Torgashin, E. A. Trofimov, S. P. Yakupova, E. V. Zonova, O. Brewer, C. Cooper, J. Reginster, L. A. Knyazeva

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Development and validation of a machine learning model for online predicting the risk of in heart failure: based on the routine blood test and their derived parameters by Jianchen Pu, Yimin Yao, Xiaochun Wang

“…In addition, eight different machine learning algorithms were applied for prediction, and the prediction performances of these algorithms were comprehensively evaluated using the receiver operating characteristic curve, area under the curve (AUC), calibration curve analysis, and decision curve analysis and confusion matrix.ConclusionsUsing LASSO regression analysis, leukocyte, neutrophil, red blood cell, hemoglobin, platelet, and monocyte-to-lymphocyte ratios were identified as risk factors for HF. …”
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Groundwater estimation and determination of its probable recharge source in the Lower Swat District, Khyber Pakhtunkhwa, Pakistan, using analytical data and multiple machine learni... by Imran Ahmad, Ibrar Ul Haq, Mansoor Ahmad, Iram Gul, Mursaleen Khan, Khushnuma Khushnuma, Ubaid Ullah, Maqsood Ur Rehman, Mohamed Metwaly

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Diagnosis methods for pancreatic cancer with the technique of deep learning: a review and a meta-analysis by Yuanbo Bi, Dongrui Li, Ruochen Pang, Chengxv Du, Da Li, Xiaoyv Zhao, Haitao Lv

“…Inclusion criteria were studies involving PDAC patients, using deep learning algorithms for diagnosis evaluation, using histopathological results as the reference standard, and having sufficient data. …”
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Periprosthetic joint infections – a scoping review by Youssef Yasmin, Hättich Annika, Klepka Kim Lydia

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