Solar Flare Intensity Prediction With Machine Learning Models by Zhenbang Jiao, Hu Sun, Xiantong Wang, Ward Manchester, Tamas Gombosi, Alfred Hero, Yang Chen

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Research on House Price Prediction based on Machine Learning by Yang Xiangjun

“…This study aims to evaluate and compare the performance of various machine learning models on the task of house price prediction. …”
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Statistical mechanics and machine learning of the α-Rényi ensemble by Andrew Jreissaty, Juan Carrasquilla

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Analyzing the speed of sound in neutron star with machine learning by Sagnik Chatterjee, Harsha Sudhakaran, Ritam Mallick

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Data Processing and Machine Learning for Assistive and Rehabilitation Technologies by Andrea Tigrini, Agnese Sbrollini, Alessandro Mengarelli

“…This Special Issue (SI), “Data Processing and Machine Learning for Assistive and Rehabilitation Technologies”, aimed to collect cutting-edge research papers that frame how data-driven approaches and machine learning techniques are advancing the field of assistive and rehabilitation technologies [...]…”
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MACHINE LEARNING AS A CORPORATION'S TOOL FOR SELECTION OF SUPPLIERS by V. V. Baklushinskii, E. V. Pustynnikova

Subjects: “…machine learning…”
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Application of machine learning and genomics for orphan crop improvement by Tessa R. MacNish, Monica F. Danilevicz, Philipp E. Bayer, Mitchell S. Bestry, David Edwards

“…Transferring knowledge from major crops to orphan crops and using machine learning to improve accuracy and efficiency can be used to improve orphan crops.…”
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Systematic softening in universal machine learning interatomic potentials by Bowen Deng, Yunyeong Choi, Peichen Zhong, Janosh Riebesell, Shashwat Anand, Zhuohan Li, KyuJung Jun, Kristin A. Persson, Gerbrand Ceder

“…Abstract Machine learning interatomic potentials (MLIPs) have introduced a new paradigm for atomic simulations. …”
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Machine learning‐assisted performance analysis of organic photovoltaics by Sijing Zhong, Jiayi Huang, Hengyu Meng, Zhuo Feng, Qianyue Wang, Zhenyu Huang, Lijie Zhang, Shiwei Li, Weiyang Gong, Yusen Huang, Lei Ying, Ning Li

Subjects: “…machine learning…”
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A Convection Nowcasting Method Based on Machine Learning by Aifang Su, Han Li, Liman Cui, Yungang Chen

“…In this study, a convection nowcasting method based on machine learning was proposed. First, the historical data were back-calculated using the pyramid optical flow method. …”
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Utilizing Statistical Tests for Comparing Machine Learning Algorithms by Hozan Khalid Hamarashid

Subjects: “…machine learning, machine learning assessment, statistical tests, machine learning algorithm, machine learning comparison.…”
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Machine learning algorithm for intelligent detection of WebShell by Hua DAI, Jing LI, Xin-dai LU, Xin SUN

“…WebShell is a common tool for network intrusions,which has the characteristics of great harm and good concealment.The current detection method is relatively simple,and easy to be bypassed,so it is difficult to deal with complex and flexible WebShell.To solve these problems,a supervised machine learning algorithm was put forward to detect WebShell intelligently.By learning the features of existing WebShell and non-existing WebShell pages,the algorithm can make prediction of the unknown pages,and the flexibility and adaptability were both very good.Compared with the traditional WebShell detection methods,the experiment proves that the algorithm has higher detection efficiency and accuracy,and at the same time there is a certain probability to detect new types of WebShell.…”
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Machine Learning Techniques for Classification of Stress Levels in Traffic by Amanda Trojan Fenerich, Egídio José Romanelli, Rodrigo Eduardo Catai, Maria Teresinha Arns Steiner

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Machine Learning and Safe and Inclusive Architecture for Fragile Users by Antonio Magarò, Adolfo F. L. Baratta

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Opportunities of Artificial Intelligence and Machine Learning in the Food Industry by Indrajeet Kumar, Jyoti Rawat, Noor Mohd, Shahnawaz Husain

“…Automation is completely based on artificial intelligence (AI) or machine learning (ML) or deep learning (DL) algorithms. …”
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Assessing Institutional Performance Using Machine Learning Algorithms by zainabalwan anwer, Ahmad Abdalrada, Ihtiram Raza Khan

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Analyzing the Performance of Machine Learning Techniques in Disease Prediction by Khongdet Phasinam, Tamal Mondal, Dony Novaliendry, Cheng-Hong Yang, Chiranjit Dutta, Mohammad Shabaz

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Probing out-of-distribution generalization in machine learning for materials by Kangming Li, Andre Niyongabo Rubungo, Xiangyun Lei, Daniel Persaud, Kamal Choudhary, Brian DeCost, Adji Bousso Dieng, Jason Hattrick-Simpers

“…Abstract Scientific machine learning (ML) aims to develop generalizable models, yet assessments of generalizability often rely on heuristics. …”
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A MACHINE LEARNING DISTRACTED DRIVING PREDICTION MODEL by Samira AHANGARI, Mansoureh JEIHANI, Abdollah DEHZANGI

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Comparisons of Machine Learning Models for Prediction of Susceptibility to Diabetes by Jiao Yutian

“…This study compares the predictive performance of machine learning models such as Random Forest (RF), Logistic Regression (LR), and Support Vector Machine (SVM). …”
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