PROJECTING OF THE INDIVIDUAL WORK OF STUDENTS STUDYING INFORMATICS by Mikhail I. Umansky

“…The attention is paid mainly to the laboratory work aimed at the formation of procedural knowledge. As means of self-control for the laboratory practice tasks we offer to use maps of self-control and control. …”
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Data-Driven Clustering of Plantar Thermal Patterns in Healthy Individuals: An Insole-Based Approach to Foot Health Monitoring by Mark Borg, Stephen Mizzi, Robert Farrugia, Tiziana Mifsud, Anabelle Mizzi, Josef Bajada, Owen Falzon

“…The data were analysed using clustering algorithms, including k-means, fuzzy c-means, OPTICS, and hierarchical clustering. …”
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Green Infrastructure and Integrated Optimisation Approach Towards Urban Sustainability: Case Study in Altstetten-Albisrieden, Zurich by Yingying Jiang, Sacha Menz

“…By comparing the results from various clustering algorithms, this study adopted the fifteen clusters derived from the K-Means method, employing radar charts to describe the characteristics of each cluster, and partitioned the district into five zones to provide recommendations regarding the provision and optimisation of urban green infrastructure within the district. …”
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QoS Routing in Telecommunications Networks by N. I. Listopad, O. A. Lavshuk

“…With the transition to new generation networks, the issues of improving routing algorithms and protocols seem to be especially relevant. …”
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“The hard problem” of consciousness in the light of phenomenology of аrtificial intelligence by Oleksandr Bilokobylskyi

“…In the "thinking process" of AI it is necessary to apply restrictions related to the fixation of the metaphysical meaning of the human body with precisely human parameters. …”
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Design and Control Strategy for a Solar -Powered Autonomous Underwater Vehicle with an Unconventional Shape by Yu Chunliang, Chen Yuxiang, Zhu Hong, Xiong Hong, Lunyang Lin, Xing Yiyang, Zheng Guodong

“…Solar-powered autonomous underwater vehicles (SAUVs) can harness sustainable natural energy, meaning that they are capable of providing long-term mission support. …”
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Research on Road Traffic Safety Risk Assessment Based on the Data of Radar Video Integrated Sensors by Xiaoyu CAI, Zimu LI, Wufeng QIAO, Xiling CHENG, Bo PENG, Dong ZHANG

“…This method uses data from radar video-integrated sensors to calibrate the thresholds for identifying unsafe driving behaviour, introduces recognition principles and algorithms, and analyses spatiotemporal distribution patterns. …”
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The analysis of conditions for preservation of gain-frequency and phase-frequency characteristics optimality under analog and digital filters transformation by A. V. Smirnov

“…Transfer functions of these filters may be found by means of heuristic optimization algorithms. This method will be efficient if the frequency transformation preserves the optimality of filters. …”
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THE FACTS AND MIRAGE OF INTEGRATING ARTIFICIAL INTELLIGENCE INTO THE JUDICIAL SYSTEM OF NIGERIA by DR ENYINNAYA N. OBOH

“…It is acceptable as a means of relieving excessive workloads on human. …”
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Interpretation of myocardial perfusion SPECT with attenuation correction. Part 2 by A. A. Ansheles, V. В. Sergienko

“…At the same time, the use of arithmetic means of the extent of transient ischemia (Reversibility Extent) is better consistent with visual analysis (= 0.08Ѓ}1.46%, p = 0.49).Conclusion. …”
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A Note on the Perturbation of arithmetic expressions by Baghdad Science Journal

“…In this paper we present the theoretical foundation of forward error analysis of numerical algorithms under;• Approximations in "built-in" functions.• Rounding errors in arithmetic floating-point operations.• Perturbations of data.The error analysis is based on linearization method. …”
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Oil Commodity Movement Estimation: Analysis with Gaussian Process and Data Science by Mulue Gebreslasie, Indranil SenGupta

“…A Gaussian kernel with data-dependent initialization is used to calculate prediction means and confidence intervals. This approach generates synthetic data points from the denoised dataset to improve prediction accuracy. …”
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Formation-Containment Control of Second-Order Multiagent Systems via Intermittent Communication by Mao-Dong Xia, Cheng-Lin Liu, Fei Liu

“…Distributed coordination control algorithms are proposed under aperiodic intermittent communication, where each agent only communicates with its neighboring agents on some disconnected time intervals. …”
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Estimation and Adjustment of Polarization Errors in Conical Scan Method by A. A. Bludov, G. A. Gorbatovskij, V. S. Pavlov, A. F. Suvorov

“…The article proposes a solution of a problem of polarization error compensation for radar object direction finding by means of conical scan method. The solution is considered at signal processing level that makes possible to avoid polarization limitations in antennas engineering. …”
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Mined Block Withholding and Imposed Fork by Using Mining Pool Alliance Strategic—A Case Study in Bitcoin System by Yean-Fu Wen, Ming-Fang Chen

“…The calculation results are replaced with two types of balls that represent hash values that satisfy the threshold of the mined block. The simulation algorithms were validated by comparing them with the expected average mining times. …”
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Machine Learning for Anomaly Detection in Blockchain: A Critical Analysis, Empirical Validation, and Future Outlook by Fouzia Jumani, Muhammad Raza

“…Integrating machine learning algorithms with blockchain has become a significant approach to detecting anomalies such as a 51% attack and double spending. …”
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Machine Learning-based for Automatic Detection of Corn-Plant Diseases Using Image Processing by Geofrey Prudence Baitu, Y. Benal Öztekin, Omsalma Alsadig Adam Gadalla, Khaled Adil Dawood Idress

“…The results showed that all the algorithms performed well in identifying the diseased and healthy leaves, with accuracy rates ranging from 90% to 92.7%. …”
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An AIoT Architecture for Structural Testing: Application to a Real Aerospace Component (Embraer E2 Model Aircraft Flag Track) by Pablo Venegas, Unai Virto, Isidro Calvo, Oscar Barambones

“…The presented approach paves the way to introduce AI-based algorithms for analyzing, either in run-time and off-line, the structural testing results obtained by means of IoT devices.…”
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An Inclusive review on deep learning techniques and their scope in handwriting recognition by Sukhdeep Singh, Sudhir Rohilla, Anuj Sharma

“… Deep learning expresses a category of machine learning algorithms that have the capability to combine raw inputs into intermediate features layers. …”
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Precision Agriculture: Utilizing Machine Learning for Accurate Plant Disease Diagnosis by Divya Banti, Tandan Gajendra

“…Mobile applications with ML algorithms also enable on the spot plant disease diagnosis from the smartphone camera, enabling site rather than later intervention. …”
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