CORRELATION PROCESSING OF DIGITAL OPTICAL IMAGES FOR SOLVING CRIMINALISTIC PROBLEMS by V. L. Kozlov, A. S. Vasilchuk

“…Reliability of the received results has been confirmed by experimental researches and has been checked up by means of other methods.…”
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Automated cell identification and tracking using nanoparticle moving-light-displays. by James A Tonkin, Paul Rees, Martyn R Brown, Rachel J Errington, Paul J Smith, Sally C Chappell, Huw D Summers

“…Computational analysis of these light ensembles in successive time frames of a movie sequence, using k-means clustering and particle tracking algorithms, provides robust and automated discrimination of live cells and their motion and a quantitative measure of their proliferation. …”
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Objective Feedback Recommendation in Multicriteria Large-Group Emergency Decision-Making by D. D. Orshella, N. A. Masruroh, H. M. Arini

“…LGEDM is often clustered into smaller subgroups using algorithms, such as k-means and hierarchical clustering, to manage this complexity and facilitate analysis. …”
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Damage Behaviour of Quasi-Brittle Composites: Mathematical and Computational Aspects by Jiří Vala, Jiří Tomáš

“…In the present paper, an evaluation of the damage behaviour of quasi-brittle composites exposed to mechanical, thermal, and other loads is studied by means of viscoelastic and/or viscoplastic material models, applying some non-local regularisation techniques to the initiation and development of damages. …”
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Efficient Human Activity Recognition Using Machine Learning and Wearable Sensor Data by Ziwei Zhong, Bin Liu

“…Human activity recognition and monitoring systems offer a powerful means of identifying daily movement patterns, which helps in understanding human behaviors and provides valuable insights for life management. …”
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Investigating non-visual eye movements non-intrusively: Comparing manual and automatic annotation styles by Jeremias Stüber, Lina Junctorius, Annette Hohenberger

“…As of yet, their cognitive origins and meaning remain under-explored in eye-movement research. …”
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UAV-Multispectral Based Maize Lodging Stress Assessment with Machine and Deep Learning Methods by Minghu Zhao, Dashuai Wang, Qing Yan, Zhuolin Li, Xiaoguang Liu

“…Unmanned aerial vehicles (UAVs) remote sensing is a practical means to quickly obtain lodging information at field scale, such as area, severity, and distribution. …”
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Bayesian Q-learning in multi-objective reward model for homophobic and transphobic text classification in low-resource languages: A hypothesis testing framework in multi-objective... by Vivek Suresh Raj, Ruba Priyadharshini, Saranya Rajiakodi, Bharathi Raja Chakravarthi

“…Furthermore, we compare the action selection between our Bayesian approach and non-Bayesian action clustering using K-Means algorithms, where our analysis highlights coherent clustering which indicates structure exploration, while non-Bayesian approach shows premature convergence to suboptimal policies.…”
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Rationale for the Choice of a Positioning System for Mobile Agricultural Robot Movement Controlling by A. V. Teterev

“…A correctly selected positioning system for controlling the mobile robotic means movement ensures high positioning accuracy of the robotic platform in the garden, allows to automate precise operations in the garden and systematize route planning algorithms.…”
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An automation monitoring system for the production facility work by Артем Бронніков, Альона Коломієць, Олег Юрченко

“… The subject of research in the article is the application of technology and control algorithms in the automation system for monitoring the operation of the instrument building room. …”
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Distinction between concepts of “structural-functional-parametric model” and “parametric model” of information knowledge objects by E. N. Kolybenko

“…In this case, the “linking base” is the methods and corresponding means of system engineering in the infological modeling technology that are used to solve practical problems. …”
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Software and methodological support for additional professional courses: ideas, problems, monitoring by O. D. Prokhorenko, S. V. Morin, O. A. Kozyreva

“…By building prospects for theorizing and implementing ideas for improving the quality of modeling and using software and methodological support for further education courses, we can distinguish in the integrative representation of the direction and prospects of an individual’s achievements three types of solving professional and pedagogical problems theorized in the work (algorithmic, creative-stimulative and innovative-promising).…”
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Novel application of unsupervised machine learning for characterization of subsurface seismicity, tectonic dynamics and stress distribution by Mohammad Salam, Muhammad Tahir Iqbal, Raja Adnan Habib, Amna Tahir, Aamir Sultan, Talat Iqbal

“…Employing a diverse range of clustering algorithms, with particular emphasis on Fuzzy C-Means (FCM), our research meticulously dissects the intricate physical processes that govern a complex tectonic zone. …”
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Intelligent Machine Vision Based Modeling and Positioning System in Sand Casting Process by Shahid Ikramullah Butt, Umer Asgher, Umar Mushtaq, Riaz Ahmed, Faping Zhang, Yasar Ayaz, Mohsin Jamil, Muhammad Kamal Amjad

“…The purpose of this research paper is to introduce a new scheme of automation in the sand casting process by means of machine vision based technology for mold positioning. …”
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Boosting brain-computer interface performance through cognitive training: A brain-centric approach by Ziyuan Zhang, Ziyu Wang, Kaitai Guo, Yang Zheng, Minghao Dong, Jimin Liang

“…Previous efforts to boost the performance of brain-computer interfaces (BCIs) have predominantly focused on optimizing algorithms for decoding brain signals. However, the untapped potential of leveraging brain plasticity for optimization remains underexplored. …”
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DynseNet: A Dynamic Dense-Connection Neural Network for Land–Sea Classification of Radar Targets by Jingang Wang, Tong Xiao, Kang Chen, Peng Liu

“…Radar is one of the primary means of monitoring maritime targets. Compared to electro-optical systems, radar offers the advantage of all-weather, day-and-night operation. …”
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A new numerical method for processing longitudinal data: clinical applications by Ilaria Stura, Emma Perracchione, Giuseppe Migliaretti, Franco Cavallo

“…In particular, our mixed model, that uses Radial Basis Functions (RBFs) combined with Stochastic Optimization Algorithms (SOMs), is here presented and tested on clinical data. …”
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Validation of 12 years (2008–2019) of IASI-A CO with IAGOS aircraft observations by B. Barret, P. Loicq, E. Le Flochmoën, Y. Bennouna, J. Hadji-Lazaro, D. Hurtmans, B. Sauvage

“…The ability of the retrievals to capture the CO variabilities is slightly different for the two retrieval algorithms. The correlation coefficients for the time series are generally larger for SOFRID, especially for the total and lower-tropospheric columns, meaning a better representation of the phase of the variability, while the amplitudes of the variations of FORLI are in better agreement with IAGOS in the middle to upper troposphere.…”
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Driver anomaly detection in cargo terminal by Shahab Emaani, Abbas Saghaei

“…Subsequently, Isolation Forest, KNN, and HBOS algorithms are applied to detect abnormal behavior using data mining techniques. …”
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Impact of a crop insurance mechanism on credit obtained by smallholders: evidence from “Proagro Mais” in Paraná by Carlos Oñate-Paredes, Vitor Augusto Ozaki

“…The methodology incorporates the propensity score matching (PSM) at the endline year, employing three distinct matching algorithms, and PSM at the baseline, coupled with the difference-in-differences method. …”
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