On the Formal Integrability Problem for Planar Differential Systems by Antonio Algaba, Cristóbal García, Jaume Giné

“…From the results obtained, we consider some families of analytic differential systems in ℂ2, and imposing the formal integrability we find resonant centers obviating the computation of some necessary conditions.…”
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AI Machine Learning–Based Diabetes Prediction in Older Adults in South Korea: Cross-Sectional Analysis by Hocheol Lee, Myung-Bae Park, Young-Joo Won

“…Machine learning algorithms, including random forest, gradient boosting model, light gradient boosting model, extreme gradient boosting model, and k-nearest neighbors, were employed for analysis. …”
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Prediksi Mahasiswa Drop-Out Di Universitas XYZ by Tubagus Ahmad Marzuqi, Evelline Kristiani, Marcel

“…Algoritma Random Forest, Gradient Boosting, dan Decision Tree digunakan untuk mengevaluasi seberapa akurat model klasifikasi dalam memprediksi potensi mahasiswa DO berdasarkan data akademik. …”
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COVID-19 Infodemic in Malaysia: Conceptualizing Fake News for Detection by Chee Kuan Lim, Zurinahni Zainol, Bahiyah Omar, Noor Farizah Ibrahim

“…In short, the gradient-boosting classifier model has the highest value of accuracy and F1-score.…”
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Explore the factors related to the death of offspring under age five and appraise the hazard of child mortality using machine learning techniques in Bangladesh by Ashikur Rahman, Md. Habibur Rahman

“…The k-fold cross-validation also illustrated the better performance of the Gradient Boosting Machine. Conclusion The Gradient Boosting Machine and Random Forest produce the best predictive power for classifying child mortality and may help to ameliorate policy decision-making in this regard.…”
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Modeling, evaluation and forecasting of suspended sediment load in Kal-e Shur River, Sabzevar Basin, in northeast of Iran by M. A. Zangeneh Asadi, L. Goli Mokhtari, R. Zandi, M. Naemitabar

“…The study employs ensemble Bagging algorithms, the gradient boosting machine (GBM), genetic algorithm, Naïve Bayes algorithm, gradient boosting decision trees, and extremely randomized trees. …”
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Intelligent Diagnosis of Rolling Bearing Fault Based on Improved Convolutional Neural Network and LightGBM by Yanwei Xu, Weiwei Cai, Liuyang Wang, Tancheng Xie

“…Aiming at the problems of weak generalization ability and long training time in most fault diagnosis models based on deep learning, such as support vector machines and random forest algorithms, one intelligent diagnosis method of rolling bearing fault based on the improved convolution neural network and light gradient boosting machine is proposed. At first, the convolution layer is used to extract the features of the original signal. …”
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Prediction of oxidation resistance of Ti-V-Cr burn resistant titanium alloy based on machine learning by Yuanzhi Sun, Guangbao Mi, Peijie Li, Liangju He

“…The results show that the two algorithms based on multiple learners, gradient boosting decision tree (GBDT) and eXtreme Gradient Boosting (XGBoost), show better performance. …”
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Simultaneous determination of nirmatrelvir, ritonavir, and beta-D-N4-hydroxycytidine in human plasma and epithelial lining fluid using LC-MS/MS and its clinical application to comp... by Wenjing Zhang, Lin Xia, Zhilong Yuan, Mengdan Liu, Yang Jiao, Zhuo Wang

“…Currently, the trials found that the clinical efficacy of molnupiravir is lower than ritonavir-boosted nirmatrelvir. An explanation for these different efficacies in clinical treatments is still limited. …”
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Explainable AutoML models for predicting the strength of high-performance concrete using Optuna, SHAP and ensemble learning by Muhammad Salman Khan, Tianbo Peng, Tianbo Peng, Muhammad Adeel Khan, Asad Khan, Mahmood Ahmad, Mahmood Ahmad, Kamran Aziz, Mohanad Muayad Sabri Sabri, N. S. Abd EL-Gawaad

“…This study introduces four explainable Automated Machine Learning (AutoML) models that integrate Optuna for hyperparameter optimization, SHapley Additive exPlanations (SHAP) for interpretability, and ensemble learning algorithms such as Random Forest (RF), Extreme Gradient Boosting (XGB), Light Gradient Boosting Machine (LGB), and Categorical Gradient Boosting (CB). …”
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Święty Jan Paweł II o duchowości chrześcijańskiego Wschodu by Wojciech Zyzak

“…Jana Pawła II na temat duchowości chrześcijańskiego Wschodu. Wskazuje na osobiste zainteresowania papieża kulturą, zwłaszcza filozofią i sztuką rozwijaną w kręgu prawosławia. …”
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Developing clinical prognostic models to predict graft survival after renal transplantation: comparison of statistical and machine learning models by Getahun Mulugeta, Temesgen Zewotir, Awoke Seyoum Tegegne, Mahteme Bekele Muleta, Leja Hamza Juhar

“…The Stochastic Gradient Boosting (SGB) model demonstrated the best discrimination and calibration performance, with a C-index of 0.943 and a Brier score of 0.000351. …”
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Time series forecasting of bed occupancy in mental health facilities in India using machine learning by G. Avinash, Hariom Pachori, Avinash Sharma, SukhDev Mishra

“…This study applies six machine learning models, namely Support Vector Regression, eXtreme Gradient Boosting, Random Forest, K-Nearest Neighbors, Gradient Boosting, and Decision Tree, to forecast weekly bed occupancy of the second largest mental hospital in India, using data from 2008 to 2024. …”
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Cryptogenic Multifocal Ulcerous Stenosing Enteritis: A Review of the Literature by Darina Kohoutová, Jolana Bártová, Ilja Tachecí, Stanislav Rejchrt, Rudolf Repák, Marcela Kopáčová, Jan Bureš

“…Deep enteroscopy enables precise diagnostic work, possible endoscopic treatment of stenoses; may obviate the need for surgery and prevent excessive small bowel resections.…”
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Dark tourism, “Netflix tourism”: stakes and conflicts of actors in Medellin by Camille Beauvais

“…This tourism development boosted by narco-fictions causes tensions and highlights the challenges of a society’s relationship to its past.…”
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Development of robust machine learning models for predicting flexural strengths of fiber-reinforced polymeric composites by Abdulhammed K. Hamzat, Umar T. Salman, Md Shafinur Murad, Ozkan Altay, Ersin Bahceci, Eylem Asmatulu, Mete Bakir, Ramazan Asmatulu

“…Five ML algorithms—Light gradient boosting regressor (LGBR), Extra tree regressor (ETR), Decision tree regressor (DTR), Histogram-based gradient boosting regressor (HGBR), and Adaptive boosting regressor (ABR)—were employed to predict the flexural strengths using both experimental data generated in-house and data collected from open literature. …”
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Transient bifurcation induced rocket acceleration leading to a relativistic bulk medium induced by designed high-intensity lasers by Ryutaro Matsui, Yasuaki Kishimoto

“…By exploring a different function of plasma regulated by nonlinear waves and their transient bifurcations, we propose a boosting scheme for an object consisting of pure solid hydrogen medium irradiated by spatiotemporally designed high-intensity lasers to nearly the speed of light. …”
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Analyzing the customer purchase data of an online shopping store by data mining: A real case study in Iran by Nima Moradi, Mosayeb Jalilian

“…However, after balancing, gradient-boosted trees outperform the other classification methods. …”
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Self-rerouting sensor network for electronic skin resilient to severe damage by T. Ozaki, N. Ohta, M. Fujiyoshi

“…This advancement significantly boosts robots’ collaborative potential with humans.…”
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Towards Supercomputing Categorizing the Maliciousness upon Cybersecurity Blacklists with Concept Drift by M. V. Carriegos, N. DeCastro-García, D. Escudero

“…Firstly, we have used the extreme gradient boosting model, and secondly, we have parallelized the machine learning algorithm to study the effect of using a different number of cores for the problem. …”
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