Correction: Comparison of machine learning methods for estimating case fatality ratios: An Ebola outbreak simulation study

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Automatic identification and characteristics analysis of crack tips in rocks with prefabricated defects based on deep learning methods. by Mingtao Gao, Minhui Li, Lu Chen, Zihao Guo, Chengyang Guo, Liping Li, Changsen Bu

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Analyzing the influence of manufactured sand and fly ash on concrete strength through experimental and machine learning methods by S Sathvik, Solomon Oyebisi, Rakesh Kumar, Pshtiwan Shakor, Olutosin Adejonwo, Adithya Tantri, V Suma

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Assessment of Body Morphometry to Classify Two Colombian Creole Pigs Using Statistical and Machine Learning Methods by Arcesio Salamanca-Carreño, Mauricio Vélez-Terranova, Pere M. Parés-Casanova, Paula A. Toalombo-Vargas, David E. Rangel-Pachón, Andrés F. Castillo-Pérez

“…Non-parametric supervised learning methods like decision trees can be used to morphometrically differentiate Creole pigs raised in the same or different environments in order to characterize animal genetic resources.…”
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Research and Optimization of White Blood Cell Classification Methods Based on Deep Learning and Fourier Ptychographic Microscopy by Mingjing Li, Junshuai Wang, Shu Fang, Le Yang, Xinyang Liu, Haijiao Yun, Xiaoli Wang, Qingyu Du, Ziqing Han

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Editorial: Computational modeling and machine learning methods in neurodevelopment and neurodegeneration: from basic research to clinical applications by Noemi Montobbio, Roberto Maffulli, Anees Abrol, Pablo Martínez-Cañada, Pablo Martínez-Cañada

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Comparison of Machine Learning and Classic Methods on Aerodynamic Modeling and Control Law Design for a Pitching Airfoil by Lang Yan, Xinghua Chang, Nianhua Wang, Laiping Zhang, Wei Liu, Xiaogang Deng

“…Hence, this study focuses on how to construct the aerodynamic model and design control law using machine learning, as well as their differences from classical methods. …”
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Teaching business leadership skills to professionals in healthcare cybersecurity, biodefense and biotechnology through experiential learning methods by Dr. Carlo J. Ninassi, Dr. Darrell Norman Burrell

“…Instead, the paper champions the utilization of experiential learning approaches, such as activity-based learning, problem-based learning, design thinking, and Learn-Teach-Do. …”
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Printed Strain Sensors for Motion Recognition: A Review of Materials, Fabrication Methods, and Machine Learning Algorithms by Nathan Zavanelli, Kangkyu Kwon, Woon-Hong Yeo

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Medical students’ perception of assessment and its effects on their learning in Dubai: a convergent mixed methods study by Eman Khalaf, Farah Ennab, Farah Otaki, Farah Otaki, Shaista Salman Guraya, Fatemeh Amir-Rad, Fatemeh Amir-Rad, Erum Khan, Ritu Lakhtakia

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A review of machine learning and internet-of-things on the water quality assessment: Methods, applications and future trends by Gangani Dharmarathne, A.M.S.R. Abekoon, Madhusha Bogahawaththa, Janaka Alawatugoda, D.P.P. Meddage

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Analysis of Combined Strength Training with Small-Sided Games in Football Education Using Machine Learning Methods by Huseyin Guneralp, Hasan Ulas Yavuz, Boran Sekeroglu, Musa Oytun, Cevdet Tinazci

“…The effect of training methods on players is crucial to improve their performance significantly. …”
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THE EFFECT OF LITERACY HABITS AND THE USE OF AL-QURAN LEARNING METHODS ON STUDENTS' AL-QURAN READING ABILITY by Arinda Rosalina, Avip Nurdarmawan, Kharisma Eka Firmanda

“…This research is descriptive quantitative research with a correlation design that aims to find out how big the relationship is between literacy habits and the use of Al-Qur’an learning methods on students' ability to read the Al-Qur’an. …”
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Predicting high-need high-cost pediatric hospitalized patients in China based on machine learning methods by Peng Zhang, Bifan Zhu, Xing Chen, Linan Wang

“…There is an urgent need to establish a specific, valid, and reliable prediction model using machine-learning-based methods to identify potential HNHC pediatric patients and implement proactive interventions before high costs arise. …”
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Artificial Intelligence-Assisted Machine Learning Methods for Forecasting Green Bond Index: A Comparative Analysis by Ahmed İhsan Şimşek, Yunus Emre Gür, Emre Bulut

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Deep learning methods for clinical workflow phase-based prediction of procedure duration: a benchmark study by Emanuele Frassini, Teddy S. Vijfvinkel, Rick M. Butler, Maarten van der Elst, Benno H. W. Hendriks, John J. van den Dobbelsteen

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Classification of NSCLC subtypes using lung microbiome from resected tissue based on machine learning methods by Pragya Kashyap, Kalbhavi Vadhi Raj, Jyoti Sharma, Naveen Dutt, Pankaj Yadav

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Predicting cadmium enrichment in crops/vegetables and identifying the effects of soil factors based on transfer learning methods by Rui Chen, Zean Liu, Jingyan Yang, Tiantian Ma, Aihong Guo, Rongguang Shi

“…In areas with less sampling and research, selecting relevant features and using transfer learning methods is more appropriate for constructing predictive models.…”
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Optimizing HVAC&R System Efficiency and Comfort Levels Using Machine Learning-Based Control Methods by Suroor M. Dawood, Raad Z. Homod, Alireza Hatami

“…Devoting the MB-RL and DP-MB-RL techniques to online control of an HVAC&R system, the simulation results for both methods are provided. For instance, the parameters, like electrical power, internal comfort levels, energy consumed, and energy cost at different pricing schemes, such as fixed pricing (FP), time-of-use (TOU), and real-time pricing (RTP), are assessed. …”
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A comparative study of manifold learning methods for scRNA-seq with a trajectory-aware metric by Mehdi Nadjafikhah, Mohammad Nasiri

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