Intrusion detection system based on machine learning using least square support vector machine by Pratik Waghmode, Manideep Kanumuri, Hosam El-Ocla, Tanner Boyle

“…This framework utilizes quantum-inspired least square support vector machine (LS-SVM) classifier. This algorithm is used to enhance the classification accuracy in terms of reducing false predictions while minimizing the training time. …”
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Interannual changes of carbon storage in mangrove forests in Futian based on WorldView-3 remote sensing images by HU Liuliu1, TAN Min2, LUO Qin2, HUANG Zijian2, XIANG Xuelian2, LI Buhang2, YU Shixiao2, WU Zefeng1, YANG Qiong1, HU Ping1*

“…The carbon density of Avicennia marina community decreased year by year, while that of Bruguiera gymnorhiza community was relatively stable. …”
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Network-based diversification of stock and cryptocurrency portfolios by Dimitar Kitanovski, Igor Mishkovski, Viktor Stojkoski, Miroslav Mirchev

“…The Louvain and Affinity propagation algorithms were employed for finding the network communities (clusters) based on annual data. …”
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High-throughput image-based monitoring of cell aggregation and microspheroid formation. by Thomas Deckers, Toon Lambrechts, Stefano Viazzi, Gabriella Nilsson Hall, Ioannis Papantoniou, Veerle Bloemen, Jean-Marie Aerts

“…Studies on monolayer cultures and whole-animal models for the prediction of the response of native human tissue are associated with limitations. …”
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Data-driven modelling of a commercial cold storage system using subspace system identification by Adesola Temitope Bankole, Muhammed Bashir Mu’azu, Habeeb Bello-Salau, Zaharuddeen Haruna

“…The proposed model presents a holistic view of the whole system with each subsystem cohesively linked together. …”
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Learning-Based Multi-Stage Formation Scheduling with a Hybrid Controller by Zhichao Zhang, Yao Li

“…However, most of the literature only considers the formation process as a whole, while overlooking the discrepancies in the formation process at different time stages. …”
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Multidimensional Comparative Analysis of the Development of Agriculture in the Regions of the Northwestern Federal District by N. A. Medvedeva, O. A. Shikhova

“…The received comparative evaluation on problem sections and subsections of indexes and integrated across their whole system serves as a basis for forming-up of ratings of the compared regions for defining their weak and strong points in the development of the studied sector. …”
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Multiscale Vascular Enhancement Filter Applied to <italic>In Vivo</italic> Morphologic and Functional Photoacoustic Imaging of Rat Ocular Vasculature by Huangxuan Zhao, Ke Li, Ningbo Chen, Kunya Zhang, Lidai Wang, Riqiang Lin, Xiaojing Gong, Liang Song, Zhicheng Liu, Chengbo Liu

“…However, to accurately diagnose the ophthalmic disease in the OR-PAM images, vascular enhancement algorithms are necessary for extracting vessels and quantifying them correctly. …”
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Analysis and prediction of land use changes: the case study of coastal areas of Gilan province by Sahar Abdollahi, Hashem Dadashpoor

“…Land use changes and then modeling the transmission potential were explored using multilayer perceptron algorithm of artificial neural network using 13 independent variables and obtained 7 sub-models for modeling land use change for 2016 and then using Markov chain method, land use map for the year 2016 was predicted with a coefficient of Kappa 0.98. …”
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Spatial and temporal heterogeneity in high-grade serous ovarian cancer: a phylogenetic analysis. by Roland F Schwarz, Charlotte K Y Ng, Susanna L Cooke, Scott Newman, Jillian Temple, Anna M Piskorz, Davina Gale, Karen Sayal, Muhammed Murtaza, Peter J Baldwin, Nitzan Rosenfeld, Helena M Earl, Evis Sala, Mercedes Jimenez-Linan, Christine A Parkinson, Florian Markowetz, James D Brenton

“…<h4>Methods and findings</h4>Evolutionary inference and phylogenetic quantification of heterogeneity was performed using the MEDICC algorithm on high-resolution whole genome copy number profiles and selected genome-wide sequencing of 135 spatially and temporally separated samples from 14 patients with HGSOC who received platinum-based chemotherapy. …”
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Сlinical features of changes in the microcirculation system among children with allergic rhinitis, depending on the severity of dysfunction of the autonomic nervous system by N. S. Tataurschikova, P. V. Berezhansky

“…Microcirculatory mechanisms are of great pathogenetic significance in the development of allergic inflammation, including in AR.Depending on the leading pathognomonic trait, it is now customary to distinguish individual phenotypes and endotypes of AR.The phenotype covers the clinically significant properties of AR, but does not reveal the detailed mechanisms of its development, on the basis of which a personalized algorithm for prevention, treatment and prognosis can be created.And the autonomic nervous system is responsible for setting links between the body, ambient and internal environment through the regulation of metabolism, functioning of organs and tissues based on changes in this environment; it also provides the integration of all organs into a single whole acting as one of the main body’s adaptive systems.Since the autonomic nervous system governs the body and homeostasis uniting separate pathogenetic links of disease progression and sets the basis for structural and functional unity. …”
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Identification of television images in vision systems based on mathematical apparatus of cubic normalized B-splines by Vladimir A Krutov, Dmitry A Bezuglov, Oleg V. Shvachko

“…The resulting spline-differentiation algorithm is used for mathematical modeling. Research Results. …”
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Current understanding of abdominal bulge with a novel classification: A retrospective study by Heng Sung, Binbin He, Zhicheng Song, Dongchao Yang, Jugang Wu, Jianjun Yang, Yan Gu

“…Retrospectively based on our experience, the incidence and outcomes of abdominal bulges are analyzed and a classification and algorithm of management is provided. Methods: A retrospective review was conducted on 46 patients diagnosed with abdominal bulge between 2014 and 2023. …”
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Artificial intelligence in teaching programming to students of pedagogical university by I. A. Yashina

“…However, there is a need for a deeper study of the influence and role of artificial intelligence not only in the educational process of the university as a whole, but also in the specifics of teaching individual disciplines, including programming for future teachers of computer science The problem of using artificial intelligence in teaching students of pedagogical universities is urgent. …”
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STUDY OF THE INFLUENCE OF THE COMPOSITION OF CULTURAL MEDIUM ON THE BASIS OF A WHITE CABBAGE ON DEVELOPMENT OF LEUCONOSTOC MESENTEROIDES AT THE PRE-FERMENTATION STAGE by V. V. Kondratenko, O. Yu. Lyalina, N. E. Posokina, A. Yu. Kolokolova, V. I. Tereshonok

“…In connection with this, an algorithm was developed to determine the optimal duration of pre-fermentation – «stop points». …”
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A Full-Life-Cycle Modeling Framework for Cropland Abandonment Detection Based on Dense Time Series of Landsat-Derived Vegetation and Soil Fractions by Qiangqiang Sun, Zhijun You, Ping Zhang, Hao Wu, Zhonghai Yu, Lu Wang

“…Compared to the traditional yearly land cover-based approach (with an overall accuracy of 77.39%), this algorithm can overcome the propagation of classification errors (with product accuracy from 74.47% to 85.11%), especially in terms of improving the ability to capture changes at finer spatial scales. …”
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Possibility of evaluation of oxygen transport function in PAH patients on effective selexipag-based therapy by E. S. Allakhverdiev, E. A. Rezukhina, O. V. Slatinskaya, O. V. Rodnenkov, G. V. Maksimov, T. V. Martynyuk

“…The control group included 10 healthy volunteers.Results: It  was  established  that the  Raman  spectra  of Hb  of whole  blood erythrocytes and isolated red blood cells (RBC) of IPAH patients have significant differences  from the control  group.  …”
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Mapping the air temperature in China from time-normalized MODIS land surface temperature data via zone-based stacking ensemble models by Yan Xin, Yongming Xu, Xudong Tong, Yaping Mo, Yonghong Liu, Shanyou Zhu

“…First, Terra/MODIS LST was temporally normalized using ERA5 reanalysis data to eliminate the uncertainty caused by differences in observation times. Then, the whole study area was divided into subzones, and nine base models were developed in each zone using machine learning (ML) methods to estimate Ta. …”
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AI-based virtual immunocytochemistry for rapid and robust fine needle aspiration biopsy diagnosis by Irfan Ahmed, Wei Zhang, Pikting Cheung, Vardhan Basnet, Zulfiqar Ali, May PY Tse, Fraser Hill, Tom Tak Lam Chan, Haibo Hu, Xinyue Li, Condon Lau

“…We have developed an AI-based virtual ICC platform that measures individual cell morphological features in whole slide images and labels the cells as immuno-positive or negative. …”
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Battery Energy Storage System Contribution to Primary Frequency Control in Isolated Power Systems by Muhammad Asad, Giulia Tresca, Pericle Zanchetta, Jose Angel Sanchez-Fernandez

“…Results show the significant reduction in frequency deviation, optimal sizing of BESS and optimal tuning of the whole WDPS.…”
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