Development of algorithms for effective control of process of testing induction motors by mutual load by V. V. Kharlamov, D. I. Popov

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Ad Click Fraud Detection Using Machine Learning and Deep Learning Algorithms by Reem A. Alzahrani, Malak Aljabri, Rami A. Mustafa Mohammad

“…The study underscores the prowess of tree-based methods and advanced algorithms in detecting click fraud, as evidenced by high accuracy, precision, and recall scores. …”
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Comment on: “Integrating Human Intuition into Prediction Algorithms for Improved Surgical Risk Stratification” by Elisabeth E. Smith, BMedSci, BMBS, Brenig L. Gwilym, MBBCh, PhD, Philip Pallmann, PhD, David C. Bosanquet, MD, FRCS

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Analysis of algorithms for detecting traffic incidents on highways using stationary vehicle detectors by D. V. Navoi, D. V. Kapski, N. A. Filippova, I. N. Pugachev

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Developing a hybrid model for comparative analysis of financial data clustering algorithms by Mojtaba Movahedi, Mahdi Homayounfar, Mehdi Fadaei, Mansour Soufi

“…Purpose: Clustering algorithms are useful tools for understanding data structure and classifying them into different data sets. …”
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REKONFIGURASI 26 KANAL IRIGASI MENGGUNAKAN METODE BINARY FIREFLY ALGORITHMS (BFA) by M Yunus, Markhaban Siswanto, Slamet Imam Wahyudi, Soedarsono Soedarsono, Nazariano Rahman Wahyudi, Machrus Ali

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Emotion Monitoring for Preschool Children Based on Face Recognition and Emotion Recognition Algorithms by Guiping Yu

“…In this paper, we study the face recognition and emotion recognition algorithms to monitor the emotions of preschool children. …”
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Letter and Person Recognition in Freeform Air-Writing Using Machine Learning Algorithms by Huseyin Kunt, Zeki Yetgin, Furkan Gozukara, Turgay Celik

“…Fourier and wavelet transforms are used to extract features and the performances of various machine learning algorithms, namely Decision Tree, Random-Forest, K-Nearest Neighbors, Support Vector Machine, Artificial Neural Networks, and SubSpace KNN, are comparatively studied. …”
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State of the Art in Automated Operational Modal Identification: Algorithms, Applications, and Future Perspectives by Hasan Mostafaei, Mahdi Ghamami

“…This review examines SSI-based algorithms, covering essential components such as system identification, noise mode elimination, stabilization diagram interpretation, and clustering techniques for mode identification. …”
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Two General Algorithms for Computing Fixed Points of Nonexpansive Mappings in Banach Spaces by Shuang Wang

“…Recently, Yao et al. (2011) introduced two algorithms for solving a system of nonlinear variational inequalities. …”
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Optimization of Time-Varying Temperature Profiles for Enhanced Beer Fermentation by Evolutive Algorithms by Pablo Ruarte, Nadia Pantano, Marianela Noriega, Cecilia Fernández, Emanuel Serrano, Gustavo Scaglia

“…This method integrates Fourier series and orthogonal polynomials for control action parameterization, in combination with evolutionary algorithms for parameter optimization. A key advantage of this methodology lies in its ability to handle a reduced parameter set efficiently, resulting in temperature profiles that are continuous and differentiable. …”
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Design of Optimal QFT Controller and Prefilter for Buck Converter Using Metaheuristic Algorithms by Nitish Katal, Shiv Narayan

“…The controller synthesis problem has been posed as an optimization problem, and metaheuristic algorithms have been used for obtaining the optimal gains for the QFT controller and prefilter. …”
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Efficient Algorithms on Multicommodity Flow over Time Problems with Partial Lane Reversals by Urmila Pyakurel, Shiva Prakash Gupta, Durga Prasad Khanal, Tanka Nath Dhamala

“…Moreover, a polynomial-time algorithm for the maximum static flow problem and pseudopolynomial algorithms for the earliest arrival transshipment and maximum dynamic flow problems are presented. …”
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Industry 4.0-Driven Development of Optimization Algorithms: A Systematic Overview by Róbert Csalódi, Zoltán Süle, Szilárd Jaskó, Tibor Holczinger, János Abonyi

“…This article reviews the impact of Industry 4.0 solutions concerning optimization tasks and optimization algorithms, in addition to the identification of the new R&D directions driven by new application options. …”
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Refining management strategies for Lennox–Gastaut syndrome: Updated algorithms and practical approaches by Stéphane Auvin, Alexis Arzimanoglou, Mercè Falip, Pasquale Striano, J. Helen Cross

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Intelligent control algorithms for posture and height control of four-leg hydraulic supports by Yihui Pang, Yaoyu Shi

“…The robustness, stability, calculation accuracy, and speed of these algorithms have been verified through analysis using the skeleton model and field measurement methods. …”
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Classification Performance Analysis of Decision Tree-Based Algorithms with Noisy Class Variable by Abdulmajeed Atiah Alharbi

“…The C4.5, CART, and random forest (RF) algorithms are considered to be three of the most used algorithms in decision trees. …”
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Effectiveness of Different Algorithms and Cut-off Value in Preeclampsia First Trimester Screening by Piotr Tousty, Bartosz Czuba, Dariusz Borowski, Magda Fraszczyk-Tousty, Sylwia Dzidek, Ewa Kwiatkowska, Aneta Cymbaluk-Płoska, Andrzej Torbé, Sebastian Kwiatkowski

“…The first aim of our study was to assess the detectability of women at risk of developing eo-PE depending on the algorithm used. All 801 patients had an estimated risk of eo-PE based on the Fetal Medicine Foundation algorithm. …”
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Recycled integrated circuit detection using reliability analysis and machine learning algorithms by Udaya Shankar Santhana Krishnan, Kalpana Palanisamy

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Design Optimization for Vibration Reduction of Viscoelastic Damped Structures Using Genetic Algorithms by Zhengchao Xie, W. Steve Shepard Jr., Keith A. Woodbury

“…To demonstrate the applicability of genetic algorithms (GAs), the approach is applied to a simple viscoelastically damped constrained-layer beam. …”
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