Software Methodology for Data Control and Collection for Autonomous Monitoring Systems with a Large Amount of Generated Information on the Example of Software for a Hydrological Ra... by I. S. Serdiukov, V. I. Veremyev, Van Tuan Nguyen

“…In some applications, such a flow is redundant and can be optimized through the use of various algorithms for the primary processing of information. …”
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Validation of the Recording of Acute Exacerbations of COPD in UK Primary Care Electronic Healthcare Records. by Kieran J Rothnie, Hana Müllerová, John R Hurst, Liam Smeeth, Kourtney Davis, Sara L Thomas, Jennifer K Quint

“…We selected dates of possible AECOPD based on 15 different algorithms between January 2004 and August 2013. Questionnaires were sent to GPs asking for confirmation of their patients' AECOPD on the dates identified and for any additional relevant information. …”
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Expanding Role of Endovascular Repair for Type B Aortic Dissection by Sanjiv Sharma, Arun Sharma

“…These observations along with the development of dissection-specific device designs have the potential to rewrite the management algorithms for type B aortic dissection and define the role of EVR in this disease.…”
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Markers of early post-stroke cognitive impairment by A. M. Tynterova, E. R. Barantsevich

“…For statistical analysis machine learning algorithms and Python with its libraries (Pandas and SciPy) were implied.Results. …”
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Leveraging artificial intelligence to strengthen surgical systems in sub-Saharan Africa by Osedebamen Ralph-Okhiria, Ikhide Alonge

“…Thus, developing locally relevant datasets, affordable AI tools, additional ethical inquiries, and cost-effectiveness studies will be crucial. …”
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Digital technologies for signal radio vision and radio monitoring by M. S. Kostin, K. A. Boikov

“…The study is based on statistical radiophysics methods, time-frequency approaches for wavelet transformation of USP radio images, numerical electrodynamic methods for creating digital twins of small-sized objects, as well as neural network authentication algorithms based on the cumulant theory of pole-genetic and resonant physically unclonable functions used in identifying signal radio images.Results. …”
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Hyperbolic geometry enhanced feature filtering network for industrial anomaly detection by Yanjun Feng, Jun Liu, Yonggang Gai

“…Abstract In recent years, Cutting-edge machine learning algorithms and systems in Industry 4.0 enhance quality control and increase production efficiency. …”
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The Analysis of Communication Strategy of Disabled Sports Information Based on Deep Learning and the Internet of Things by Wanglong Wang, Qingwen Liu, Chuan Shu

“…The ever-growing landscape of Internet of Things (IoT) technology and the evolution of deep learning algorithms have ushered in transformative changes in the communication strategy for disseminating information on disabled sports. …”
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Empowering machine learning for robust cyber-attack prevention in online retail: an integrative analysis by Kamran Razzaq, Mahmood Shah, Mohammad Fattahi, Jing Tang

“…Machine learning (ML) algorithms play a significant role in preventing cyber-attacks. …”
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Enhancing Mobile App Recommendations With Crowdsourced Educational Data Using Machine Learning and Deep Learning by Naadiya Mirbahar, Kamlesh Kumar, Asif Ali Laghari

“…Machine learning models analyze user behavior patterns to suggest relevant entertainment, education, or e-commerce content. …”
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On identification of interconnected systems by N. N. Karabutov

“…The conditions for the TCS identifiability are obtained. Adaptive algorithms for estimating TCS parameters are synthesized. …”
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Integrating Model‐Informed Drug Development With AI: A Synergistic Approach to Accelerating Pharmaceutical Innovation by Karthik Raman, Rukmini Kumar, Cynthia J. Musante, Subha Madhavan

“…However, several challenges, including the availability of relevant, labeled, high‐quality datasets, data privacy concerns, model interpretability, and algorithmic bias, must be carefully managed. …”
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Variational formulation of active nematic fluids: theory and simulation by W Mirza, A Torres-Sánchez, G Vilanova, Marino Arroyo

“…We exercise this model in two representative examples of active nemato-hydrodynamics relevant to the actin cytoskeleton during wound healing and to the dynamics of confined colonies of elongated cells.…”
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TAE Predict: An Ensemble Methodology for Multivariate Time Series Forecasting of Climate Variables in the Context of Climate Change by Juan Frausto Solís, Erick Estrada-Patiño, Mirna Ponce Flores, Juan Paulo Sánchez-Hernández, Guadalupe Castilla-Valdez, Javier González-Barbosa

“…This work presents TAE Predict (Time series Analysis and Ensemble-based Prediction with relevant feature selection) based on relevant feature selection and ensemble models of machine learning. …”
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Finite element method in computer simulation for improved patient care in dentistry: A systematic review by Denis Yu. Dyachenko, Svetlana V. Dyachenko

“…The growing acquaintance, mastering and use of this technique among researchers around the globe will give impetus to novel diagnosis and treatment, as well as relevant management algorithms in particular patient categories to enable personalisation of even mass dental check-up. …”
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Using Vector Databases for the Selection of Related Occupations: An Empirical Evaluation Using O*NET by Lino Gonzalez-Garcia, Miguel-Angel Sicilia, Elena García-Barriocanal

“…Career planning agencies and other organizations can help workers if they are able to effectively identify related occupations that are relevant to the task at hand. Occupational knowledge bases such as O*NET and ESCO represent mature attempts to categorize occupations and describe them in detail so that they can be used to search for related occupations. …”
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Aligned in Human Dignity? Parallel Anthropological Aspects of EU Tech Regulation and Pope Francis’ Teaching on AI by Bernát Török, Ádám Darabos

“…We will highlight four concrete challenges posed by artificial intelligence to the human person (profiling, predictive algorithms, human intervention and manipulation), to which the legislation of the European Union has responded partly on anthropological grounds. …”
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Longitudinal analysis of behavioral factors and techniques used to identify vaccine hesitancy among Twitter users: Scoping review by Sulaiman Khan, Md. Rafiul Biswas, Zubair Shah

“…From this search process, a total of 28 most relevant articles out of 705 relevant studies. Three main themes emerged including individual and community factors influencing public attitude toward vaccination, and techniques employed to identify these factors. …”
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An invitation to the sample complexity of quantum hypothesis testing by Hao-Chung Cheng, Nilanjana Datta, Nana Liu, Theshani Nuradha, Robert Salzmann, Mark M. Wilde

“…The final part of our paper outlines and reviews how sample complexity of quantum hypothesis testing is relevant to a broad swathe of research areas and can enhance understanding of many fundamental concepts, including quantum algorithms for simulation and search, quantum learning and classification, and foundations of quantum mechanics. …”
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OPTIMIZING KEYWORD SEARCH FOR SEARCH ENGINES USING BLOCKCHAIN TECHNOLOGY by Bharti Aggarwal, Dinesh Rai, Naresh Kumar

“…The traditional SEO landscape, reliant on algorithmic changes and privacy concerns, demands new solutions. …”
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