Maize and soybean yield prediction using machine learning methods: a systematic literature review by Ramandeep Kumar Sharma, Jasleen Kaur, Gary Feng, Yanbo Huang, Chandan Kumar, Yi Wang, Sandhir Sharma, Johnie Jenkins, Jagmandeep Dhillon

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Machine Learning Methods in the Comparative Evaluation of Various Approaches to the Surgical Treatment of Primary Angle Closure by N. I. Kurysheva, A. L. Pomerantsev, O. Ye. Rodionova, G. A. Sharova

“…Since all these parameters correlate with each other, machine learning methods were used: PCA and the DD-SIMCA one-class classification method. …”
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Concrete Creep Prediction Based on Improved Machine Learning and Game Theory: Modeling and Analysis Methods by Wenchao Li, Houmin Li, Cai Liu, Kai Min

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Exploring deep learning in third-year undergraduate nursing students: a mixed methods study by Wenjuan Wang, Dan Song, Panpan Zhang, Wan Mi, Wenli Xu, Lihua Zhou

“…Conclusion Incorporating case-based training into a course helps enhance deep learning for students. In the future, consideration may be given to continuing targeted reforms in the integration of learning methods to help students enhance their career confidence and prepare to become professional nurses. …”
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Global Disparities in Simulation-Based Learning Performance: Serial Cross-Sectional Mixed Methods Study by Kashish Malhotra, Harshin Balakrishnan, Emily Warmington, Vina Soran, Francesca Crowe, Dengyi Zhou, SIMBA AND CoMICs Team, Punith Kempegowda

“…MethodsThis study assessed participants in 17 SIMBA sessions from May 2020 to June 2022. …”
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Fluid volume status detection model for patients with heart failure based on machine learning methods by Haozhe Huang, Jing Guan, Chao Feng, Jinping Feng, Ying Ao, Chen Lu

“…The aim was to develop an early fluid volume detection model for heart failure patients utilizing a machine learning stratification. Methods: The training set data collected by Tianjin Chest Hospital on heart failure patients from December 2016 to December 2021, included 2056 samples and 97 medical characteristics. …”
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Evaluating Factors Affecting Flood Susceptibility in the Yangtze River Delta Using Machine Learning Methods by Kaili Zhu, Zhaoli Wang, Chengguang Lai, Shanshan Li, Zhaoyang Zeng, Xiaohong Chen

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A mini-review of innovative learning methods in medical education: insights from African countries by Najoua Ghani, Mohamed Taiebine, Moulay Hassan Farih, Chakib Nejjari

“…Methods The literature search for this review was conducted using keywords in different databases such as PubMed, ERIC and Google Scholar regarding learning methods in African medical education. …”
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A Review of Machine Learning-Based Thermal Error Modeling Methods for CNC Machine Tools by Sen Mu, Chunping Yu, Kunlong Lin, Caijiang Lu, Xi Wang, Tao Wang, Guoqiang Fu

“…Second, machine learning-based thermal error modeling methods are categorized into traditional machine learning-driven and deep learning-driven approaches. …”
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Using machine learning methods for long-term technical and economic evaluation of wind power plants by Ali Omidkar, Razieh Es'haghian, Hua Song

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Requirement Analysis for a Qualifications-Based Learning Model Platform Using Quantitative and Qualitative Methods by Simon Wetzel, Jennifer Roeder, Adrian Vogler, Matthias Hemmje

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Predicting over-the-counter antibiotic use in rural Pune, India, using machine learning methods by Pravin Arun Sawant, Sakshi Shantanu Hiralkar, Yogita Purushottam Hulsurkar, Mugdha Sharad Phutane, Uma Satish Mahajan, Abhay Machindra Kudale

“…To counter OTC use, this study used machine learning (ML) methods to identify predictors of OTC antibiotic use in rural Pune, India. …”
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Comparison of machine learning methods for estimating case fatality ratios: An Ebola outbreak simulation study. by Alpha Forna, Ilaria Dorigatti, Pierre Nouvellet, Christl A Donnelly

“…<h4>Background</h4>Machine learning (ML) algorithms are now increasingly used in infectious disease epidemiology. …”
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Generating Anticancer Peptides Sequences Using Seq2Seq Modeling and Machine Learning Methods by Muhammad Sohail Ibrahim, Saheed Ademola Bello, Yunsang Kwak, Minseok Kim, Shujaat Khan

“…This study presents a novel computational approach to design and identify ACPs using a multi-tier filtration system. Our method begins with peptide sequence generation via a recurrent neural network (RNN) trained on the acp740 dataset. …”
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A Comparative Study of Deep Learning’s Performance Methods for News Article using Word Representations by Iman Saladin B. Azhar, Winda Kurnia Sari, Naretha Kawadha Pasemah Gumay

“…A good word representation is essential to address this challenge, and the word representation using GloVe is one of the popular methods that provides pre-trained word representations in high-dimensional vectors. …”
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A Comparative Analysis of Machine Learning Models for Predicting EFL Student Language Performance in Smart Learning Environments by Banchakarn Sameephet, Wirapong Chansanam, Mahboubeh Rakhshandehroo, Chawin Srisawat, Kittichai Nilubol, Arnon Jannok, Bhirawit Satthamnuwong, Kornwipa Poonpon

Subjects: “…machine learning…”
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Effects of social constructivist teaching methods on EFL students’ reading comprehension and teamwork skills in Ethiopia by Addis Kebede Adere, Reda Darge Negasi, Amare Sahile Abebe

“…The study aimed to determine the effect of integrated social constructivist teaching methods, including problem-basedlearning, cooperative learning, collaborative learning, and scaffolding, on the reading comprehension (RC) andteamwork skills of Grade 8 English as a Foreign Language (EFL) students. …”
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Using lightweight method to detect landslide from satellite imagery by Jinchi Dai, Xiaoai Dai, Renyuan Zhang, JiaXin Ma, Wenyu Li, Heng Lu, Weile Li, Shuneng Liang, Tangrui Dai, Yunfeng Shan, Donghui Zhang, Lei Zhao

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An Interpretable Method for Anomaly Detection in Multivariate Time Series Predictions by Shijie Tang, Yong Ding, Huiyong Wang

“…Anomaly detection methods for industrial control networks using multivariate time series usually adopt deep learning-based prediction models. …”
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Hyperspectral Image Change Detection Method Based on the Balanced Metric by Xintao Liang, Xinling Li, Qingyan Wang, Jiadong Qian, Yujing Wang

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