Multiple Machine Learning as a Powerful Tool for Star Cluster Analysis by Denilso Camargo

“…The binary cluster candidate is analyzed by employing a set of well-established machine learning algorithms applied to the Gaia-EDR3 data. Membership probabilities and open clusters (OCs) parameters are determined by using the clustering algorithms pyUPMASK, ASteCA, k-means, GMM, and HDBSCAN. …”
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Groundwater estimation and determination of its probable recharge source in the Lower Swat District, Khyber Pakhtunkhwa, Pakistan, using analytical data and multiple machine learni... by Imran Ahmad, Ibrar Ul Haq, Mansoor Ahmad, Iram Gul, Mursaleen Khan, Khushnuma Khushnuma, Ubaid Ullah, Maqsood Ur Rehman, Mohamed Metwaly

“…It aims to identify recharge sources using a combination of analytical data and advanced machine learning (ML) algorithms. Groundwater recharge sources and demarcation of feasible exploration sites via actual field data and machine learning-based approaches in the Lower Swat District were carried out. …”
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Prediction of pulmonary embolism by an explainable machine learning approach in the real world by Qiao Zhou, Ruichen Huang, Xingyu Xiong, Zongan Liang, Wei Zhang

“…To address this, we employed an artificial intelligence–based machine learning algorithm (MLA) to construct a robust predictive model for PE. …”
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New Images of the Globalized World Crossed by Artificial Intelligence by Vanina Rodríguez

“…However, these algorithms are often designed to meet the interests of users from countries in the global north, meaning that the images shown to users in the global south may not reflect their reality. …”
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Predicting autoimmune thyroiditis in primary Sjogren’s syndrome patients using a random forest classifier: a retrospective study by Jia-yun Wu, Jing-yu Zhang, Wen-qi Xia, Yue-ning Kang, Ru-yi Liao, Yu-ling Chen, Xiao-min Li, Ya Wen, Fan-xuan Meng, Li-ling Xu, Sheng-hui Wen, Hui-fen Liu, Yuan-qing Li, Jie-ruo Gu, Qing Lv, Yong Ren

“…Results The results indicated that the Random Forest Classifier algorithm (AUC = 0.755) outperformed the other three machine learning algorithms. …”
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Quantum-Enhanced Generalized Pattern Search Optimization by Colton Mikes, David Huckleberry Gutman, Victoria E. Howle

“…The probabilistic nature of many quantum algorithms may result in new behavior that could negatively impact the performance of the larger algorithm. …”
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A deep-learning algorithm using real-time collected intraoperative vital sign signals for predicting acute kidney injury after major non-cardiac surgeries: A modelling study. by Sehoon Park, Soomin Chung, Yisak Kim, Sun-Ah Yang, Soie Kwon, Jeong Min Cho, Min Jae Lee, Eunbyeol Cho, Jiwon Ryu, Sejoong Kim, Jeonghwan Lee, Hyung Jin Yoon, Edward Choi, Kwangsoo Kim, Hajeong Lee

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Metaheuristic-Based Model Optimization of a Steam-Filled Chamber by Hubert Guzowski, Roman Senkerik, Maciej Smolka, Frantisek Gazdos, Miroslav Palka, Libor Pekar, Michal Pluhacek, Adam Viktorin, Tomas Kadavy, Aleksander Byrski, Zuzana Kominkova Oplatkova, Radek Matusu, Janusz Kacprzyk

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Algorithm performance study pulse suppression of auto-oscillation phenomena in the electromechanical system of the electric traction drive in braking mode electric traction drive s... by A. V. Klimov

“…In these cases, a loss of stability may occur, resulting in the excitation of auto-oscillation phenomena in the electromechanical system (road-wheel-mechanical drive-electric motor). …”
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Integration of 101 machine learning algorithm combinations to unveil m6A/m1A/m5C/m7G-associated prognostic signature in colorectal cancer by Hao Wei, Qingsong Luo, Weimin Zhong

“…Overall, our developed RMS can accurately predict patients survival outcomes and immunotherapy response, indicating promising application in clinical practice. These findings may offer guidance for the prognosis and personalized treatment of CRC.…”
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Low power energy balanced clustering routing scheme based on improved SSA and Multi-Hop transmission in IoT by Rui Wang, Xiaoling Guo, Xinghua Sun, Jie Yang

“…Communication is the main part of power loss for sensor nodes. For this reason, this paper introduces a new low power energy balanced clustering routing scheme. …”
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A viscoelastic-viscoplastic model for a thermoplastic and sensitivity of its rheological parameters to the strain-rate by Younès Saadallah, Semcheddine Derfouf, Belhi Guerira

“…The behavior of thermoplastics depends on several factors, mainly time and temperature. The present work is the subject of an analysis of the dependence of viscoelastic viscoplastic parameters of a model of rheological behavior at the time. …”
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Periprosthetic joint infections – a scoping review by Youssef Yasmin, Hättich Annika, Klepka Kim Lydia

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Multi-distribution noise quantisation: an extreme compression scheme for transformer according to parameter distribution by Zaiyang Yu, Shuang Li, Linjun Sun, Liang Liu, Wang Haining

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Improvement of the "Slowness-Time Coherence" Method of Processing Borehole Acoustic Data Arrays by Sergii Lavreniuk, Yevhen Nazarenko, Daria Tulchynska, Petro Tulchynskyi

“…The technology based on the basic and improved STC algorithms. A methodology for comparing the improved STC algorithm with the basic STC algorithm has been developed. …”
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Scatter Search for Optimal Sizing of a Hybrid Renewable Energy System for Scheduling Green Hydrogen Production by Andrés Cacereño, Begoña González Landín, Antonio Pulido, Gabriel Winter, José Andrés Moreno

“…The implementation is competitive in terms of performance when compared to, on the one hand, the genetic algorithm and differential evolution methods, which are well-known state-of-the-art evolutionary algorithms, and, on the other hand, the optimal foraging algorithm (OFA), a more recent algorithm. …”
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Managing demolition wastes using GIS and optimization techniques by Mohamed Marzouk, Eman Othman, Mahmoud Metawie

“…The proposed framework is applied to an actual case study that involves expanding the ring road project in Cairo to demonstrate its main features.…”
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Artificial neural network-driven approaches to improved forecasting of disability care expenditures in an aging Kingdom of Saudi Arabia population by Obaid Algahtani, Mohammed M. A. Almazah, Farouq Alshormani

“…Finally, the enriched coati osprey algorithm (ECOA)-based hyperparameter selection process is performed to optimize the prediction results of the BiVAE‐SAM method. …”
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Automatic Summarization Of Arabic Texts by Jawad Berri, Omar Alghafri

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Raising the Quality of Spesialists’ Training: the Procedure Selection by M. N. Oskina

“…The content flexibility of educationalcurricula and graduates’ qualification are regarded as the main criteria for the budget funding of a particular educational institution. …”
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