Penerapan Metode K-Medoids untuk Pengelompokan Mahasiswa Berpotensi Drop Out by Syamsul Bahri, Dwi Marisa Midyanti

“…After clustering using the K-Medoids algorithm, the best Silhouette Coefficient evaluation results are 0.39415227406014575 with the number of clusters 2. …”
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Analysis of Beam-Column Designs by Varying Axial Load with Internal Forces and Bending Rigidity Using a New Soft Computing Technique by Wen Huang, Tianhua Jiang, Xiucheng Zhang, Naveed Ahmad Khan, Muhammad Sulaiman

“…We have also developed a novel solver, the LeNN-NM algorithm, which consists of weighted Legendre polynomials, and a single path following optimizer, the Nelder–Mead (NM) algorithm. …”
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Hot deformation physical mechanisms and a unified constitutive model of a solid solution Ti55511 alloy deformed in the two-phase region by Huijie Zhang, Y.C. Lin, Gang Su, Yongfu Xie, Wei Qiu, Ningfu Zeng, Song Zhang, Guicheng Wu

“…In this work, the flow behaviors and microstructure evolution of a solid solution Ti55511 alloy deformed in the two-phase region are investigated by hot compression experiments. …”
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Controls on zircon age distributions in volcanic, porphyry and plutonic rocks by C. Nathwani, D. Szymanowski, L. Tavazzani, S. Markovic, A. L. Virmond, C. Chelle-Michou

“…We also filter the database using a new algorithm to systematically identify and remove old outliers from age distributions. …”
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Clinicopathological and molecular significance of HER2-low expression in Asian women with triple-negative breast cancer by Cuiyan Yang, Haoyu Wang, Yiwei Tong, Zheng Wang, Xi Sun, Anqi Li, Yujie Lu, Mengyuan Han, Siji Zhu, Lei Dong, Kunwei Shen, Xiaosong Chen

“…Background: Heterogeneity of human epidermal growth factor receptor 2 (HER2) expression exists in triple-negative breast cancer (TNBC). The evolution of the HER2 testing algorithm has led to the new classification of the HER2-low category, with unclear clinicopathological and molecular features in Asian women with HER2-low TNBC. …”
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HMS-PAU-IN: A heterogeneous multi-scale spatiotemporal interaction network model for population analysis units by Xiaorui Yang, Rui Li, Jing Xia, Junhao Wang, Hongyan Li, Nixiao Zou

“…In the temporal dimension, the changes of PAUs are captured through the evolutionary relationships of nodes between different time windows. To validate the model, we developed a population prediction model that integrates the multi-scale features of PAUs and introduced Leiden-IES-PMS, a community detection method based on the Leiden algorithm, which integrates internal and external environmental semantics and adopts a proximity merging strategy. …”
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Development and Optimization of a Novel Semi-Submersible Floater for Floating Wind Turbines in the South China Sea by Yiming Zhong, Wenze Liu, Wei Shi, Xin Li, Shuaishuai Wang, Constantine Michailides

“…Using a differential evolution algorithm, the optimization process adjusts column diameter and spacing while considering motion response and steel usage constraints. …”
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Impact of early haemodynamic assessment by echocardiography on organ dysfunction and outcome of patients admitted to the emergency department with sepsis or septic shock: protocol... by Bruno Giraudeau, Amélie Le Gouge, Philippe Vignon, Thomas Lafon, Samia Brit

“…Secondary outcomes will be the nature of therapeutic interventions resulting from echocardiography (fluid loading, early initiation of vasopressor support or inotrope), the prevalence of the different haemodynamic profiles, the evolution of lactatemia, the safety of the initial therapeutic, the proportion of patients who develop secondarily septic shock, the orientation of patients after ED discharge and both day 7 and in-hospital mortality. …”
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Identification of microsatellite loci according to BAC sequencing data and their physical mapping to the bread wheat 5B chromosome by M. A. Nesterov, D. A. Afonnikov, E. M. Sergeeva, L. A. Miroshnichenko, M. K. Bragina, A. O. Bragin, G. V. Vasiliev, E. A. Salina

“…A comparative analysis of the distribution of trinucleotide microsatellites over wheat chromosome 5B and in different cereal species suggests that the (AAG)n repeat has proliferated and has been maintained during the evolution of cereals.…”
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Multi-user joint task offloading and resource allocation based on mobile edge computing in mining scenarios by Siqi Li, Weidong Li, Wanbo Zheng, Yunni Xia, Kunyin Guo, Qinglan Peng, Xu Li, Jiaxin Ren

“…To evaluate the effectiveness of the proposed method, we compare it with five baseline algorithms: the improved grey wolf optimizer metaheuristic algorithm, the traditional genetic algorithm, the binary offloading decision mechanism, the partial non-cooperative mechanism, and the fully local execution mechanism. …”
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Machine learning anomaly detection of lost and unaccounted for gas in natural gas networks by Omar Fayez Mohamed ElMahdy, Mohamed Ezz Hassan, Sayed M. Metwalli

“…The outcome from the algorithm’s application in various scenarios was evaluated using four performance metrics, namely, Precision, Recall, F1score, and Accuracy. …”
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Estimation of Hankel inequalities of symmetric starlike functions in crescent-shaped domains and their application in image processing by Bushra Kanwal, Arooj Iman, Shamsa Kanwal, Amal K. Alkhalifa

“…We used our estimated sharp Hankel determinants to develop a novel algorithm for image enhancement. The performance of the algorithm is evaluated on different image datasets of varying dimensions, with key quality metrics such as PSNR, SSIM, PCC, and MAE. …”
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Investigation of the Effect of Slope and Road Surface Conditions on Traffic Accidents Occurring in Winter Months: Spatial and Machine Learning Approaches by Emre Kuşkapan, Muhammed Yasin Çodur, Mohammad Ali Sahraei

“…As a result of the analysis, it was found that the J48 algorithm gave more accurate results. J48 processes both continuous and categorical attributes and is a decision tree algorithm that can effectively manage missing data. …”
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Optimization of Bayesian Neural Networks using hybrid PSO and fuzzy logic approach for time series forecasting by Farideh Sobhanifard

“…Providing flexible frameworks for the Neural Network training algorithm is one of the topics that has focused on many issues of the real world. …”
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A Dataset on Corn Silage in China Used to Establish a Prediction Model Showing Variation in Nutrient Composition by Shu Zhang, Jian Hao, Donghai Wang, Chenglong Luo, Na Lu, Xiaocen Guo, Yanfang Liu, Zixiao Zhang, Shengli Li

“…ATR-FTIR technology combined with the BP-ANN algorithm could effectively evaluate the CP, NDF, ADF, and starch contents of WPCS.…”
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Transient Ischemic Attack: Clinical Features and Outcome by Desislava Drenska, Dimitar Maslarov

“…All subjects were studied using a clinical evaluation of pathogenetic mechanisms and an ABCD (2) algorithm. …”
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Research of the state of the stress-realizing systems in pregnant women with miscarriage by V. A. Plotnik

“…The results of this work helps to develop algorithm for evaluation and prediction of the risk of miscarriage…”
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Supervised Paragraph Vector: Distributed Representations of Words, Documents and Class Labels by Eunjeong L. Park, Sungzoon Cho, Pilsung Kang

“…Paragraph Vector is one of such algorithms, which extends the word2vec algorithm by considering the paragraph as an additional word. …”
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Comparison between Logistic Regression and K-Nearest Neighbour Techniques with Application on Thalassemia Patients in Mosul by Mohammed Al jbory, Hutheyfa Taha

“…The study showed that the type of distance used in the K-nearest neighbor algorithm, whether "Manhattan" or "Chebyshev", has a significant impact on the accuracy of predictions, with the highest accuracy reaching 95% when K = 4. …”
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Estimating the Significance of Computer Model Factors Based on a Simple Neural Network by Volodymyr Pepelyaev, Nataliia Oriekhova, Ihor Lukyanov

“…Since the initial weights of the neural network are chosen randomly, the results of different runs on the same set of data are slightly different. …”
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