Building an Associative Classification Data Model Based on the Apriori Method by K. V. Mulyukova, V. M. Kureichik

“…With manual integration, the database management system is not important. Algorithm methods work with selected data. This factor greatly simplifies the further development of program code.…”
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Innovative measurement of routine physiological variables (heart rate, respiratory rate and oxygen saturation) using a remote photoplethysmography imaging system: a prospective com... by Eliane Albuisson, Anthony Moussu, Bruno Chenuel, Yohann Bernard, Mathias Poussel, Véronique Saunier

“…The absence of a medical device to carry out these measurements remotely is one of the main limitations of telemedicine. Remote photoplethysmography imaging (rPPG) makes it possible to use a camera video to measure some of the most valuable physiological variables: heart rate (HR), respiratory rate (RR) and oxygen saturation (SpO2). …”
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The problem of recurrent cystitis from the perspective of a gynecologist. Possible ways to overcome by I. V. Ignatko, K. R. Bakhtiyarov, A. A. Churganova, V. M. Anokhina

“…It is also interesting because it has a spectrum of activity not only against the main uropathogens, but also against the causative agents of vaginal infections including bacterial vaginosis. …”
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Advanced Scalable Multi-Beam Focusing for Indoor Optical Wireless Networks With IR Radiative Clusters by Sharadhi Gunathilake, Ampalavanapillai Nirmalathas, Kosala Herath, Malin Premaratne

“…By executing sub-clusters within main clusters and assigning them to groups for phase delay compensation, we ensure the generation of independent narrow beams focused on each receiver simultaneously. …”
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MYOCARDIAL INFARCTION TYPE 4TH: FEATURES OF THE COURSE, PREVENTION AND MANAGEMENT OF PATIENTS AFTER PERCUTANEOUS CORONARY INTERVENTIONS by N. G. Pravdyuk, A. V. Novikova, E. A. Korolyеv

“…The article describes the varieties of myocardial infarction associated with PCI, an algorithm for the diagnosis and management of patients in accordance with current clinical recommendations.…”
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Modeling the Relationship between Financial Stability and Banking Risks: Artificial Intelligence Approach by Hakeem Faraj Gumar, Parviz Piri, Mehdi Heydari

“…In addition, this study aims to identify the main factors affecting financial stability and provide solutions to improve risk management and banking supervision. …”
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BedEye: A Bed Exit and Bedside Fall Warning System Based on Skeleton Recognition Technology for Elderly Patients by Liang-Bi Chen, Wan-Jung Chang, Tzu-Chin Yang

“…Moreover, we develop an algorithm for determining bed posture using the posture of patients leaving the bed. …”
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Neural Network Identification-Based Model Predictive Heading Control for Wave Gliders by Peng Jin, Baolin Zhang, Yun Zhang

“…Third, a design algorithm of the NNI-MPHC is presented. The algorithm is demonstrated through simulation, where the results show the following: (i) The designed NNI-MPHC is remarkably capable of guaranteeing the tracing effects of the wave glider. …”
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New opportunities and trends in international investment driven by machine learning by Li Chang, Cai Linxin, Lin Qinni, Huang Yujie

“…In this regard, after understanding the new opportunities and challenges of international investment in the era of big data, this paper mainly studies the decentralized portfolio selection model with machine learning algorithm as the core, and verifies the application effect of various algorithms combined with experiments. …”
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A Novel Model for Accessibility of Bus Station and Its Application to Bottlenecks Identification: A Case Study in Harbin by Chao Sun, Wei Quan

“…Traditionally, bus accessibility research studies mainly focus on the evaluation from the perspective of the aggregate model and analyze the service radius of the site considering the front end of travel. …”
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A cost- and performance-effective approach for task scheduling based on collaboration between cloud and fog computing by Xuan-Qui Pham, Nguyen Doan Man, Nguyen Dao Tan Tri, Ngo Quang Thai, Eui-Nam Huh

“…The rapid development of Internet of Things applications, along with the limitations of cloud computing due mainly to the far distance between Internet of Thing devices and cloud-based platform, has promoted a newly distributed computing platform based on collaboration between cloud computing and fog computing. …”
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Complex Multisnapshot Sparse Bayesian Learning for Offgrid DOA Estimation by Qinghua Liu, Yuanxin He, Kai Ding, Quanmin Xie

“…Theoretical analysis and simulation results show that the proposed algorithm can effectively process complex-valued signal models and has lower algorithm complexity.…”
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Minimizing the average arriving distance in carpooling by Tianlu Zhao, Yongjian Yang, En Wang

“…For the situation that the vehicle capacity is insufficient, we provide three algorithms named DelFar, Unchanged, and DelRan. Experimental results show that our SimilarDirection algorithm can produce less average arriving distance of all passengers than other three contrast algorithms in both the real-world dataset experiments and the synthetic dataset experiments, and DelFar has the best performance in producing less average arriving distance when the vehicle capacity is insufficient.…”
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Analysis for sparse channel representation based on dictionary learning in massive MIMO systems by Qing‐Yang Guan

“…Finally, a sparse representation coefficient optimization algorithm is proposed using this optimal threshold. …”
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Intelligent Reconfigurable surface technique for Multiple Antenna Communication System by Noor Qasim, Ismail Hburi, Haider Salih Al Ammar

“…For the reflecting element phase shift matrix the algorithm uses the arrival/departure angles of the LoS rays at the IRS elements. …”
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Medical Review and Analysis of Canned Food Production Safety by Tsvetelina Vitkova

“…The algorithm was based on the Codex Alimentarius methodology, presented in the document “Food Quality and Safety Systems - A Training Manual on Food Hygiene and the Hazard Analysis and Critical Control Point (HACCP) System. …”
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Massive MIMO uplink and downlink joint representation based on couple dictionary learning by Qing Yang Guan

“…Through theoretical proof, it is demonstrated that the accuracy of CDL for representation is mainly influenced by the cross‐correlation between the pilot matrix and the dictionary matrix. …”
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Beamforming Optimization for Information Enhancement Transmission in MISO SWIPT with NOMA System by Qing Miao, Longtao Zhou, Jiongqi Wang

“…This paper mainly considers a communication network with multiple-input single-output (MISO), in which nonorthogonal multiple access (NOMA) decoding technology is adopted, and wireless power-carrying technology is used to enhance the transmission quality of user information in the communication network. …”
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The global water resources and use model WaterGAP v2.2e: description and evaluation of modifications and new features by H. Müller Schmied, H. Müller Schmied, T. Trautmann, S. Ackermann, D. Cáceres, M. Flörke, H. Gerdener, E. Kynast, T. A. Peiris, L. Schiebener, M. Schumacher, P. Döll, P. Döll

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Mo.Se.: Mosaic image segmentation based on deep cascading learning by Andrea Felicetti, Marina Paolanti, Primo Zingaretti, Roberto Pierdicca, Eva Savina Malinverni

“…(Mosaic Segmentation), an algorithm that exploits deep learning and image segmentation techniques; the methodology combines U-Net 3 Network with the Watershed algorithm. …”
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