Morphometric criteria for evaluating individual territorial units in solving the problem of spatial development of linear objects of terrestrial transport infrastructure by Dmitry V. Kuzmin

“…It follows from the experimental results that the "Height range" criterion has the highest average sensitivity and, as a result, weight. This means that this criterion has a greater impact on the formation of block ratings. …”
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Automated Microservices Identification Through Business Process Analysis: A Semantic-Driven Clustering Approach by Idris Oumoussa, Rajaa Saidi

“…This methodology applies unsupervised clustering algorithms, including K-means, K-medoids, and DBSCAN, to generate well-defined microservices by analyzing semantic similarity across BP activities. …”
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SpaceRL — A reinforcement learning-based knowledge graph driver by Miguel Bermudo, Daniel Ayala, Inma Hernández, David Ruiz, Miguel Toro

“…They aid in the representation of related information by means of nodes connected through links indicating types of relations. …”
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Identification of common genetic variation that modulates alternative splicing. by Jeremy Hull, Susana Campino, Kate Rowlands, Man-Suen Chan, Richard R Copley, Martin S Taylor, Kirk Rockett, Gareth Elvidge, Brendan Keating, Julian Knight, Dominic Kwiatkowski

“…Alternative splicing of genes is an efficient means of generating variation in protein function. …”
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Advanced lightweight deep learning vision framework for efficient pavement damage identification by Shuai Dong, Yunlong Wang, Jin Cao, Jia Ma, Yang Chen, Xin Kang

“…The effectiveness and superiority of LPDD-YOLO are further substantiated through comparisons with other state-of-the-art algorithms.…”
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Multivariate determinants of self-management in Health Care: assessing Health Empowerment Model by comparison between structural equation and graphical models approaches by Filippo Trentini, Matteo Malgaroli, Anne Linda Camerini, Clelia Di Serio, Peter Schulz

“…Graphical modeling algorithms were implemented in a R software environment.…”
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Decision vector model in predicting social behavior (on the example of the secondary analysis of the pre-election surveys) by N. S. Babich, S. M. Kharun

“…The article considers a decision vector model that can be used to approximate actual behavior with some formal rules that allow to construct algorithms for predicting future states. The authors tested the reliability of ex post facto predictions on the example of the unsuccessfully predicted 2013 Moscow mayoral elections. …”
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Quantum Key Distribution Applicability to Smart Grid Cybersecurity Systems by Warren Grice, Mohammed Olama, Annabelle Lee, Philip G. Evans

“…However, with the increasing number of sophisticated attacks as well as the increasing computational power, the security of the “classical” cryptographic algorithms is threatened. Quantum information science offers solutions to this problem, specifically quantum key distribution (QKD), which provides a means for the generation and secure distribution of symmetric cryptographic keys. …”
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Estimating river water level using satellite altimetry and water surface temperature data in a regulated subtropical river by Qi Wang, Hailong Wang

“…This study provides two means of estimating RWL continuously using readily available satellite products for small regulated subtropical rivers, which can be practically useful in any rivers with carefully selected processing algorithms.…”
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Optimizing Cardiovascular Risk Assessment with a Soft Voting Classifier Ensemble by Ammar Oad, Zulfikar Ahmed Maher, Imtiaz Hussain Koondhar, Karishima Kumari, Hammad Bacha

“…Rest of classifiers gave average scores. It means the proposed method provided best results while compared with Decision tree, Logistic regression, Support Vector Classifier (SVC), SVM Kernel, K Nearest Neighbor and Naïve Bayes. …”
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SpaCcLink: exploring downstream signaling regulations with graph attention network for systematic inference of spatial cell–cell communication by Jingtao Liu, Litian Ma, Fen Ju, Chenguang Zhao, Liang Yu

“…Nevertheless, the majority of existing spatial cell–cell communication algorithms fail to take into account the downstream signals within cells. …”
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Smart city planning focused on the US cities in need of policing innovations and public health safety technologies and strategies by Delores Springs

“…In particular, the article proposes the following for implementation: identifying crime hotspots by means of advanced geographic information systems, applying machine learning algorithms to predict future crime trends, using advanced real-time surveillance technologies and firearms detection systems, applying geospatial analysis to optimise patrol routes, dynamically adjusting patrol routes depending on real-time data analytics, deploying mobile command centres. …”
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EXPLORING AUTOMATED SUMMARIZATION: FROM EXTRACTION TO ABSTRACTION by Svetlana G. Sorokina

“…Summaries generated by AI models offer new opportunities for analyzing machine-generated language and provide valuable data for studying how algorithms process, condense, and restructure human language.…”
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Legal Status of Artificial Intelligence from Quantum-Theoretic Perspective by E. Melnikova, I. Surov

“…Classical AI, in contrast, is limited to algorithmic computation, bound to produce predefined results regardless of its complexity. …”
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Predicting the Acceptance of Informal Learning Technologies: A Case of the TikTok Application by Ahmed Al-Azawei, Ali Alowayr

“…Moreover, previous literature focused on the use of structural equation modeling (SEM) to predict technology acceptance, whereas the application of data mining algorithms is rare in this direction of research. This study, therefore, aims to (1) propose an integrated framework based on the DeLone and McLean information system model, the diffusion theory, the interactivity theory, the intrinsic motivation theory, and the security perceptions, (2) predict the adoption of TikTok as a learning means in an informal educational space, and (3) compare the performance of data mining techniques and SEM in predicting users’ behavioral intention towards TikTok acceptance. …”
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Explainable quality assessment of effective aligned skeletal representations for martial arts movements by multi-machine learning decisions by Yiqun Pang, Kaiqi Zhang, Fengmei Li

“…Abstract How to utilize modern technological means to provide both accurate scoring and objective feedback for martial arts movements has become an issue that needs to be addressed in the field of physical education. …”
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Künstliche Intelligenz im Englischunterricht – Grundwissen und Praxisbeispiele by Inez De Florio-Hansen

“…Practical classroom applications are introduced to engage students with key questions about AI: How can machine intelligence be measured (Turing Test)? What are the meanings of fundamental concepts such as algorithms, machine learning, and artificial neural networks? …”
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Identificación experimental de patrones de falla en flujómetros del tipo turbina. // Experimental identification of failure patterns in turbine type fluxmeter. by O. Reyes Vaillant, J. Cabrera Gómez

“…These results will be employed in order to design a diagnostic system<br />for TFMs using algorithms containing the proposed analysis methods.…”
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Development of a Technique for Discrete-Logical Decision-Making in Medical Information Systems by Islam A. Alexandrov, Vladimir Zh. Kuklin, Leonid M. Chervyakov, Sergei A. Sheptunov

“…The abstraction of any problem situation relies on using means operating with frequency and comparative logic to provide logical approximations of the sought characteristics. …”
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A Smart Platform for Monitoring and Managing Energy Harvesting in Household Systems by Teodora Sanislav, George D. Mois, Sherali Zeadally, Silviu Folea, Horia Hedesiu

“…Being composed of programmable components, which allow the implementation of custom algorithms and monitoring applications to optimize its operation, the system will be used as a prototyping platform in future research. …”
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