Availability Optimization of Multicomponent Products with Economic Dependence under Two-Dimensional Warranty by Enzhi Dong, Zhonghua Cheng, Rongcai Wang, Xiaona Zhang

“…Firstly, a single-component two-dimensional (2D) preventive maintenance (PM) availability model is established, and the simulated annealing algorithm is adopted to calculate the optimal 2D PM interval to achieve the maximal availability of any single component. …”
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FOPID controller design for pneumatic control valves with ultra-low overshoot, rapid response and enhanced robustness by Yuxin He, Aixiang Ma, Yuehui Wang, Xinyi Tian, Sihai Zhao

“…To enhance optimization, the Hippopotamus Optimization (HO) is improved with Genetic Algorithm (GA). Simulation and experimental results demonstrate the proposed GAHO-based FOPID controller achieves a settling time of 5.25 s and an overshoot of 0.88%, significantly surpassing conventional methods. …”
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Building Application-Related Patient Identifiers: What Solution for a European Country? by Catherine Quantin, François-André Allaert, Paul Avillach, Maniane Fassa, Benoît Riandey, Gilles Trouessin, Olivier Cohen

“…We show the anonymity techniques classically based on unidirectional hash functions (such as the secure hash algorithm (SHA-2) function that can guarantee the security, quality, and reliability of information if these techniques are applied to the Social Security Number). …”
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Analysis of Flue Gas Emission Data from Fluidized Bed Combustion Using Self-Organizing Maps by Mika Liukkonen, Mikko Heikkinen, Eero Hälikkä, Teri Hiltunen, Yrjö Hiltunen

“…First, a generic process model was created by using a self-organizing map, which was clustered with the k-means algorithm to create subsets representing the different states of the process. …”
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A MRAC Principle for a Single-Link Electrically Driven Robot with Parameter Uncertainties by Carlos Aguilar-Avelar, Javier Moreno-Valenzuela

“…With the aim of performing experimental comparisons, two control schemes are also revisited theoretically and experimentally: one is an algorithm previously reported in the literature and the other is an adaptive controller derived under the assumption that the electrical dynamics of the actuator are negligible. …”
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Multiobjective Fuzzy Mixed Assembly Line Sequencing Optimization Model by Farzad Tahriri, Siti Zawiah Md Dawal, Zahari Taha

“…Such conflicting goals arise when switching between different products. A genetic algorithm (GA) approach is used to solve this problem, in which trapezoidal fuzzy numbers are implemented for variables such as operation and travelling time in order to generate results with higher accuracy and representative of real-case data.…”
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A Novel Partial Sequence Alignment Tool for Finding Large Deletions by Taner Aruk, Duran Ustek, Olcay Kursun

“…For BinaryPartialAlign, we make use of the Smith-Waterman (SW) algorithm with a binary-search-based approach for alignment with large gaps that we called partial alignment. …”
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Light-weighted vehicle detection network based on improved YOLOv3-tiny by Pingshu Ge, Lie Guo, Danni He, Liang Huang

“…Based on YOLOv3-tiny, the feature extraction was realized using light-weighted networks such as DarkNet-19 and ResNet-18 to improve accuracy. The K -means algorithm was used to cluster nine anchor boxes to achieve multi-scale prediction, especially for small targets. …”
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Effective Method for Analysis of Electrothermally Coupled Fields by Jacek Korytkowski, Stanisław Wincenciak

“…The main idea of the proposed method is the use of an automatic time step selection algorithm to solve heat conduction equations. The influence of the assumed accuracy value on the final result of the nonlinear calculation is discussed. …”
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Nonlinear Speed Control of Switched Reluctance Motor Drives Taking into Account Mutual Inductance by M. Alrifai, M. Zribi, R. Krishnan, M. Rayan

“…A speed control algorithm is proposed for variable speed switched reluctance motor (SRM) drives taking into account the effects of mutual inductances. …”
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A comparative framework to develop transferable species distribution models for animal telemetry data by Joshua A. Cullen, Camila Domit, Margaret M. Lamont, Christopher D. Marshall, Armando J. B. Santos, Christopher R. Sasso, Mehsin Al Ansi, Mariana M. P. B. Fuentes

“…A correlative SDM using a hierarchical Gaussian process regression (HGPR) algorithm exhibited greater transferability than a hybrid SDM using HGPR, as well as correlative and hybrid forms of hierarchical generalized linear models. …”
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Penerapan Algoritma K-Means Dan Metode Marketing Mix dalam Segmentasi Mahasiswa dan Strategi Pemasaran by Siti Monalisa, Tengku Nurainun, Misra Hartati

“…The methodology in this research are student segmentations using K-Means Algorithm dan Clustering with Dunn Index Algorithm. …”
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Proof of concept of fully automated adaptive workflow for head and neck radiotherapy treatments with a conventional linear accelerator by Gaia Muti, Marco M. J. Felisi, Angelo F. Monti, Chiara Carsana, Roberto Pellegrini, Edoardo Salmeri, Mauro Palazzi, Paola E. Colombo

“…IntroductionThe objective of this study is to evaluate the performance of an automatic workflow for head-and-neck (H&N) radiotherapy using a multi-atlas based auto-contouring software and an a-priori multicriteria plan optimization algorithm and implement an adaptive online approach with CBCT images. …”
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Linear Programming as a Tool for Managing the Training Process of Esports Teams by Oksana Shynkaruk, Nataliia Byshevets, Alla Aloshyna, Olena Iakovenko, Kostiantyn Serhiienko, Valerii Pinchuk, Oleksandr Petryk, Ivan Lut

“…Based on the proposed algorithm, linear programming variants were developed, successfully addressing the task of automating the planning of esports team training. …”
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Analisa Sentimen Financial Technology Peer To Peer Lending Pada Aplikasi Koinworks by Rousyati Rousyati, Windu Gata, Dany Pratmanto, Nia Kusuma Wardhani

“…This research will analyze the problems related to some reviews about the Fintech P2PL Koinworks application on reviews on the Google Play Store and determine the results of the accuracy of sentiment analysis produced by the Decision Tree algorithm, K-Nearest Neigbor and Support Vector Machine. …”
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Clustering Gempabumi di Wilayah Regional VII Menggunakan Pendekatan DBSCAN by Ihsan Bagus Fahad Arafat, Mokhamad Amin Hariyadi, Irwan Budi Santoso, Cahyo Crysdian

“…In this study, a density-based Unsupervised Learning Clustering algorithm approach was used namely, Density Based Spatial Clustering of Application with Noise or DBSCAN, this algorithm requires the input parameters epsilon (ε) and MinPts. …”
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Penerapan Algoritma Fuzzy Mamdani untuk Memberikan Saran yang Optimal dalam Pengambilan Keputusan pada Permainan KArtu Monster by Muhammad Rizky Perdana, Andika Sundawaijaya, Ahlijati Nuraminah

“…In this study, the selection of card suggestions using the Fuzzy Mamdani algorithm was repeated 15 times using processed Yu-Gi-Oh card data. …”
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Comprehensive Evaluation and Error-Component Analysis of Four Satellite-Based Precipitation Estimates against Gauged Rainfall over Mainland China by Guanghua Wei, Haishen Lü, Wade T. Crow, Yonghua Zhu, Jianbin Su, Li Ren

“…In summer, false precipitation dominates the total error, whereas missed and false precipitation are the two leading error sources in winter. Future algorithm refinement efforts should focus on decreasing FAR in summer and winter and improving missed snow events during the winter.…”
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Peningkatan Performa Ensemble Learning pada Segmentasi Semantik Gambar dengan Teknik Oversampling untuk Class Imbalance by Arie Nugroho, M. Arief Soeleman, Ricardus Anggi Pramunendar, Affandy Affandy, Aris Nurhindarto

“…The use of synthetic oversampling techniques can improve the level of accuracy in minority classes. The random forest algorithm experienced an increase in accuracy by 37% while the LGBM algorithm increased by 41%. …”
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Penggunaan Metode Naïve Bayes Classifier pada Analisis Sentimen Penilaian Masyarakat Terhadap Pelayanan Rumah Sakit di Malang by Tsania Dzulkarnain, Dian Eka Ratnawati, Bayu Rahayudi

“…The author utilizes the Naive Bayes Classifier algorithm and Cross Validation to categorize assessments based on positive and negative sentiments, as well as 4 aspects to facilitate categorization. …”
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