A real-time system for monitoring and classification of human falls on stairs using 2.4 GHz XBee3 micro modules with a tri-axial accelerometer and KNN algorithms by Apidet Booranawong, Sittiporn Sukveeraphan, Liangrui Pan, Nattha Jindapetch, Pornchai Phukpattaranont, Hiroshi Saito

“…Here, human activities on stairs, including stair ascent, stair descent, turning around, and falling, are mainly focused on preventing any dangerous accidents. …”
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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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Photovoltaic Module Fault Detection Technology Based on Remote Sensing Technology and Deeplabv3+ Model by Xiaowei Xu, Mingxian Liu, Yongjie Nie, Ke Wang, Wenhua Xu

“…The error of the improved K-means was mainly concentrated between 0.000 and 0.014, while the traditional K-means was mainly distributed between 0.022 and 0.051. …”
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An efficient iterative method for solving large linear systems by Ali Jamalian, Hossein Aminikhah

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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

“…At present, the compressed sampling system mainly includes three sampling system: random demodulator，modulated wideband converter and multi-coset sampling, among them, the system framework of multi-coset sampling is simple and has a high reconstruction success rate. …”
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A Heuristic Approach for the Nationwide Charging Station Location Problem for Intercity Trips by Yavuz Delice, Ayyuce Aydemir-Karadag, Halit Ozen

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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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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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PARAMETER OPTIMIZATION OF JC CONSTITUTIVE MODEL OF AL7050 ALLOY BASED ON OXLEY’S THEORY by WANG Yun, ZHANG ChangMing, ZHANG Yu

“…The JC constitutive model parameters of Al7050 alloy were obtained by using genetic algorithm and experimental data,and the JC constitutive model was verified by using cutting force as evaluation index. …”
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Incorporating environmental data to refine the classification and understanding of the mechanisms behind encroachment of a woody species in the Southern Great Plains (USA) by Justin Dawsey, Nancy E. McIntyre

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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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Vers un « État-automate » ? by Olessia Kirtchik, Francesca Musiani

“…Based on this hypothesis, this article aims to question the transformative potential of innovations linked to algorithms and AI for various professions in public administration. …”
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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

“…In this work, we discuss how an existing algorithm to extract long-distance trips from mobile phone data (Janzen et al., 2016 a,b) can be supplemented with man-made heuristics to arrive at plausible domestic tourism trips. …”
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Efficiency of Information Management and Analysis for Industrial Entrepreneurship by Irina Gontareva, Vitalina Babenko, Viktoriia Yevtushenko, Nataliia Voloshko, Yevgen Oliynyk

“…Information Management and Analysis (IMA) implies the single data and knowledge base of the business organization whose algorithm and software complex is designed to solve functional problems of operating and dispatch management, marketing, financial arrangements, accounting, strategic planning and organizing e-document flow between the sources and users of information. …”
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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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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

“…It aims to identify recharge sources using a combination of analytical data and advanced machine learning (ML) algorithms. Groundwater recharge sources and demarcation of feasible exploration sites via actual field data and machine learning-based approaches in the Lower Swat District were carried out. …”
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Predicting autoimmune thyroiditis in primary Sjogren’s syndrome patients using a random forest classifier: a retrospective study by Jia-yun Wu, Jing-yu Zhang, Wen-qi Xia, Yue-ning Kang, Ru-yi Liao, Yu-ling Chen, Xiao-min Li, Ya Wen, Fan-xuan Meng, Li-ling Xu, Sheng-hui Wen, Hui-fen Liu, Yuan-qing Li, Jie-ruo Gu, Qing Lv, Yong Ren

“…Results The results indicated that the Random Forest Classifier algorithm (AUC = 0.755) outperformed the other three machine learning algorithms. …”
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A deep-learning algorithm using real-time collected intraoperative vital sign signals for predicting acute kidney injury after major non-cardiac surgeries: A modelling study. by Sehoon Park, Soomin Chung, Yisak Kim, Sun-Ah Yang, Soie Kwon, Jeong Min Cho, Min Jae Lee, Eunbyeol Cho, Jiwon Ryu, Sejoong Kim, Jeonghwan Lee, Hyung Jin Yoon, Edward Choi, Kwangsoo Kim, Hajeong Lee

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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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