An Educational Approach to Higgs Boson Hunting Using Machine Learning Classification Algorithms on ATLAS Open Data by Ayşe Bat

“…In this study, the performance of several classification algorithms that are used to separate the H → ττ signal from background is investigated. …”
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Gaussian Process Regression Total Nitrogen Prediction Based on Data Decomposition Technology and Several Intelligent Algorithms by WANG Yongshun, CUI Dongwen

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A Comparison Study of Edge Line Estimation Algorithms for Dimensional Quality Assessment of Precast Concrete Slabs by Chang-Yong Yi, Fangxin Li, Julian Pratama Putra Thedja, Sung-Han Sim, Yoon-Ki Choi, Geon Hwee Kim, Min-Koo Kim

“…Although a few edge extraction algorithms have been developed so far based on point cloud data, little attention has been paid on which edge extraction algorithm performs the best in terms of edge estimation accuracy. …”
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Proximal Point Algorithms for Finding a Zero of a Finite Sum of Monotone Mappings in Banach Spaces by H. Zegeye, N. Shahzad

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Comparative Analysis of Gradient Descent Learning Algorithms in Artificial Neural Networks for Forecasting Indonesian Rice Prices by Rica Ramadana, Agus Perdana Windarto, Dedi Suhendro

“…The aim of this study is to evaluate and compare various learning functions within the Backpropagation algorithm to determine the best one for prediction cases. …”
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Comparison of Continuous-Time Partial Markov Chain Construction by Heuristic Algorithms for Purpose of Approximate Transient Analysis by Eimutis Valakevičius, Mindaugas Bražėnas, Tomas Ruzgas

“…We investigate the construction of a partial absorbing continuous-time Markov chain (CTMC) using a heuristic algorithm aimed at approximate transient analysis. …”
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Potentiality of algorithms and artificial intelligence adoption to improve medication management in primary care: a systematic review by Gianfranco Damiani, Antonio Oliva, Gerardo Altamura, Massimo Zedda, Mario Cesare Nurchis, Giovanni Aulino, Aurora Heidar Alizadeh, Francesca Cazzato, Gabriele Della Morte, Matteo Caputo, Simone Grassi, Maria Teresa Riccardi, Martina Sapienza, Giorgio Sessa

“…Objectives The aim of this study is to investigate the effect of artificial intelligence (AI) and/or algorithms on drug management in primary care settings comparing AI and/or algorithms with standard clinical practice. …”
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Identification of Plasma Proteins Associated with Alzheimer's Disease Using Feature Selection Techniques and Machine Learning Algorithms by Zakaria Mokadem, Mohamed Djerioui, Bilal Attallah, Youcef Brik

“…This study aims to use computational algorithms to explore the relationship between plasma proteins and AD progression by identifying a panel of plasma proteins that can serve as biomarkers for tracking and diagnosing AD. …”
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Gas Leak Real-Time Detection and Volume Flow Quantification Based on Infrared Imaging and Advanced Algorithms by Man Yan, Zhou Li, Zheng Dong, Yiming Liun, Liyun Chen, Xiaosong Wu, Lijun Wu

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College Students’ Mental Health Education Consulting Management System Design Based on Big Data Algorithms by Xuezhen Song

“…For the current situation, this paper analyzed college students’ mental health education through a research experiment on big data algorithms. The experimental data showed that there were 40 students who thought that the psychological education course after the optimization of big data was very helpful in life, accounting for 40.6% of the total; there were 30 people, accounting for 30.7%, who thought that there was some help; 19 people, accounting for 18.81%, who thought that there was little help; and 10 people, accounting for 9.9%, who thought that there was no help. …”
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Hybrid Model Based on Genetic Algorithms and SVM Applied to Variable Selection within Fruit Juice Classification by C. Fernandez-Lozano, C. Canto, M. Gestal, J. M. Andrade-Garda, J. R. Rabuñal, J. Dorado, A. Pazos

“…Therefore, a hybrid model that combines genetic algorithms and support vector machines is suggested in such a way that, when using SVM as a fitness function of the Genetic Algorithm (GA), the most representative variables for a specific classification problem can be selected.…”
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Short-Term Traffic Flow Prediction with Weather Conditions: Based on Deep Learning Algorithms and Data Fusion by Yue Hou, Zhiyuan Deng, Hanke Cui

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Innovative Approaches of Optimization Methods Used in Geothermal Power Plants: Artificial Neural Networks and Genetic Algorithms by Özgür Özer, Harun Kemal Öztürk

“…Heuristic methods, particularly the widely used artificial neural networks and genetic algorithms, are explained in general terms. Recent studies highlight that the combined use of artificial neural networks and genetic algorithms can produce faster and more consistent results. …”
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RETRACTED: Development of algorithms for assessing the regional distribution of respiratory activity parameters based on the analysis of EIT results by Aleksanyan Grayr, Kucher Artyom, Katsupeev Andrey

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RETRACTED: Using machine learning algorithms to solve data classification problems using multi-attribute dataset by Borodulin Aleksey, Gladkov Alexey, Gantimurov Andrei, Kukartsev Vladislav, Evsyukov Dmitriy

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Opioid Nonadherence Risk Prediction of Patients with Cancer-Related Pain Based on Five Machine Learning Algorithms by Jinmei Liu, Juan Luo, Xu Chen, Jiyi Xie, Cong Wang, Hanxiang Wang, Qi Yuan, Shijun Li, Yu Zhang, Jianli Hu, Chen Shi

“…This was a secondary analysis from a cross-sectional study that included 1195 patients from March 1, 2018, to October 31, 2019. Five ML algorithms, such as logistic regression (LR), random forest, eXtreme Gradient Boosting, multilayer perceptron, and support vector machine, were used to predict opioid nonadherence in patients with cancer pain using 43 demographic and clinical factors as predictors. …”
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The Modified Block Iterative Algorithms for Asymptotically Relatively Nonexpansive Mappings and the System of Generalized Mixed Equilibrium Problems by Kriengsak Wattanawitoon, Poom Kumam

“…The propose of this paper is to present a modified block iterative algorithm for finding a common element between the set of solutions of the fixed points of two countable families of asymptotically relatively nonexpansive mappings and the set of solution of the system of generalized mixed equilibrium problems in a uniformly smooth and uniformly convex Banach space. …”
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Maize crop residue cover mapping using Sentinel-2 MSI data and random forest algorithms by Jia Du, Pierre-Andre Jacinthe, Kaishan Song, Longlong Zhang, Boyu Zhao, Hua Liu, Yan Wang, Weijian Zhang, Zhi Zheng, Weilin Yu, Yiwei Zhang, Dapeng Jiang

Subjects: “…Random forest algorithm…”
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Analyses of PO-Based Fuzzy Logic-Controlled MPPT and Incremental Conductance MPPT Algorithms in PV Systems by Fevzi Çakmak, Zafer Aydoğmuş, Mehmet Rıda Tür

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Spatial Downscaling of GPM Annual and Monthly Precipitation Using Regression-Based Algorithms in a Mountainous Area by Chesheng Zhan, Jian Han, Shi Hu, Liangmeizi Liu, Yuxuan Dong

“…Since satellite measured precipitation is often too coarse for practical applications, it is essential to develop spatial downscaling algorithms. In this study, we investigated two downscaling algorithms based on the Multiple Linear Regression (MLR) and the Geographically Weighted Regression (GWR), respectively. …”
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