A comparative performance analysis of machine learning models for compressive strength prediction in fly ash-based geopolymers concrete using reference data by Muhammad Kashif Anwar, Muhammad Ahmed Qurashi, Xingyi Zhu, Syyed Adnan Raheel Shah, Muhammad Usman Siddiq

“…The ranking of predictive models is: ANNs > Boosting > Bootstrap SVM > DT > KNN > MLR. The prediction and profiler plots are also confirm the validity of the ANNs model performance. …”
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eNSMBL-PASD: Spearheading early autism spectrum disorder detection through advanced genomic computational frameworks utilizing ensemble learning models by Ayesha Karim, Nashwan Alromema, Sharaf J Malebary, Faisal Binzagr, Amir Ahmed, Yaser Daanial Khan

“…Several ensemble classification methods, including Extreme Gradient Boosting, Random Forest, Light Gradient Boosting Machine, ExtraTrees, and a stacked ensemble of classifiers, were applied to assess the predictive power of the genomic features. …”
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Entropy-based feature selection with applications to industrial internet of things (IoT) and breast cancer prediction by Ismail Mageed

“…Eliminating redundant and irrelevant variables while keeping the most important ones boosts the prediction capacity of the algorithms. …”
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Toward accurate prediction of carbon dioxide (CO2) compressibility factor using tree-based intelligent schemes (XGBoost and LightGBM) and equations of state by Behnam Amiri-Ramsheh, Aydin Larestani, Saeid Atashrouz, Elnaz Nasirzadeh, Meriem Essakhraoui, Ali Abedi, Mehdi Ostadhassan, Ahmad Mohaddespour, Abdolhossein Hemmati-Sarapardeh

“…Enhancing efficiency and boosting output from oil reservoirs has consistently captured the attention of engineers and industrialists within the energy sector. …”
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Newborn Mortality in the United States by Donna Davis

“…"While the United States boasts some of the finest healthcare facilities and services known to humankind, the country also has one of the highest newborn mortality rates in the industrialized world. …”
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Newborn Mortality in the United States by Donna Davis

“…"While the United States boasts some of the finest healthcare facilities and services known to humankind, the country also has one of the highest newborn mortality rates in the industrialized world. …”
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Comparison of Satellite-based PM2.5 Estimation from Aerosol Optical Depth and Top-of-atmosphere Reflectance by Heming Bai, Zhi Zheng, Yuanpeng Zhang, He Huang, Li Wang

“…., random forest, extreme gradient boosting, gradient boosting regression, and support vector regression). …”
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Tunnel squeezing prediction based on partially missing dataset and optimized machine learning models by Peng Guan, Guangzhao Ou, Feng Liang, Weibang Luo, Qingyong Wang, Chengyuan Pei, Xuan Che

“…To achieve precise prediction of tunnel squeezing, this study constructed six reliable machine learning (ML) classification models for this purpose, including Support Vector Machine (SVM), Random Forest (RF), Decision Tree (DT), Extreme Gradient Boosting (XGBoost), Light Gradient Boosting Machine (LGBM), and K-Nearest Neighbors (KNN). …”
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Exploring Early Learning Challenges in Children Utilizing Statistical and Explainable Machine Learning by Mithila Akter Mim, M. R. Khatun, Muhammad Minoar Hossain, Wahidur Rahman, Arslan Munir

“…These include logistic regression (LRC), decision tree (DT), k-nearest neighbor (KNN), random forest (RF), gradient boosting (GB), extreme gradient boosting (XGB), and bagging classification models. …”
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Application of attenuated total reflection-Fourier transform infrared spectroscopy in semi-quantification of blood lipids and characterization of the metabolic syndrome. by Tz-Ping Gau, Jen-Hung Wen, I-Wei Lu, Pei-Yu Huang, Yao-Chang Lee, Wei-Po Lee, Hsiang-Chun Lee

“…Linear regression (LR), gradient boosting regression tree (GBT), and histogram-based gradient boosting regression tree (HGBTR) were used to train the models. …”
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The Effect of Upcycled Brewers’ Spent Grain on Consumer Acceptance and Predictors of Overall Liking in Muffins by Shannon Combest, Cynthia Warren

“…Bivariate correlation analyses found that all attributes across each muffin variation were strongly, positively correlated (r > 0.6) with overall likeability excluding appearance (r = 0.359, P < 0.001) and moistness (r = .466, P < 0.001) in control muffins. …”
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A Cloud-Based Optimized Ensemble Model for Risk Prediction of Diabetic Progression&#x2014;An Azure Machine Learning Perspective by V. K. Daliya, T. K. Ramesh

“…Our model uses LightGBM, a rapid and efficient gradient boosting framework, coupled with KNN, which uses proximity to classify data points. …”
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Prediction of Current and Future Distributions of Chalcophora detrita (Coleoptera: Buprestidae) Under Climate Change Scenarios by Arif Duyar, Muhammed Arif Demir, Mahmut Kabalak

“…An ensemble model was created by using 11 different algorithms (Artificial Neural Network, Classification Tree Analysis, eXtreme Gradient Boosting, Flexible Discriminant Analysis, Generalised Additive Model, Generalised Boosting Model, Generalised Linear Model, Multivariate Adaptive Regression Splines, Maximum Entropy, Random Forest, Surface Range Envelope) to predict the potential suitable habitats of C. detrita. …”
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Exploration and comparison of the effectiveness of swarm intelligence algorithm in early identification of cardiovascular disease by Tiantian Bai, Mengru Xu, Taotao Zhang, Xianjie Jia, Fuzhi Wang, Xiuling Jiang, Xing Wei

“…The results showed that random forest, extreme gradient boosting, adaptive boosting and k-nearest neighbor models performed best on the combined dataset (weighted score of 1), where the feature set consisted of 9 key features selected by the cuckoo search algorithm when the population size was 25; while on the Framingham dataset, the k-nearest neighbor model performed best (weighted score of 0.92), and its feature set was derived from 10 features selected by the whale optimization algorithm when the population size was 50. …”
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Nation vs. People: The Axiology of Group Identity by H. T. Sardaryan

“…Despite its importance religion is often dismissed in the research literature on nationalism and nation-building.To stress the importance of collective solidarity for sustaining a national identity, the author juxtaposes the idea of the nation understood as a collective of individuals living in a nationstate united by common values to the idea of the people understood as a collective of individuals living in a nation-state driven solely by their egoistic interests. From this perspective the people render institutions of the national state dysfunctional because of their disrespect for the common values, while the nation strengthens state institutions, making its nationstate resilient to the current global problems.…”
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Resource Aware Routing in Heterogeneous Opportunistic Networks by Sadaf Yasmin, Rao Naveed Bin Rais, Amir Qayyum

“…Moreover, episodic connectivity in opportunistic networks further aggravates the problem of finding a suitable next-hop to obviate unnecessary utilization of network resources. …”
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Znaczenie judeochrześcijańskich korzeni i świadectwa chrześcijan o korzeniach żydowskich dla integralnego zrozumienia przesłania biblijnego by Abp Henryk Muszyński

“…Na zakończenie artykułu zostały przedstawione osobiste doświadczenia autora w dialogu chrześcijańsko-żydowskim. …”
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Septic Pulmonary Embolism Causing Recurrent Pneumothorax in an Intravenous Drug User without Right-Sided Valvular Vegetation in Infective Endocarditis by Mason Montano, Kevin Lee, Kushal Patel, Mutsumi Kioka

“…Therefore, the absence of detectable right-sided valvular vegetation in IE does not obviate the risk of SPE-induced PTX in IVDU and further expands the realm of infectious and pulmonary consequences of SPE and IVDU.…”
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Biomarkers in scleroderma: Current status by Latika Gupta, Sanat Phatak, Sukesh Edavalath

“…Scleroderma is an autoimmune disease characterized by indolent obliterative vasculopathy and widespread fibrosis. The two main morphological manifestations of the disease overlap and may make it difficult to separate activity from damage. …”
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Ipilimumab, a Promising Immunotherapy with Increased Overall Survival in Metastatic Melanoma? by Gérald E. Piérard, François Aubin, Philippe Humbert

“…Ipilimumab, a monoclonal antibody directed to CTLA-4 present on cytotoxic T cells boosts immunity, particularly its anti-MM activity. …”
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