Optimal selection of machine learning algorithms for ciprofloxacin prediction based on conventional water quality indicators by Shenqiong Jiang, Xiangju Cheng, Baoshan Shi, Dantong Zhu, Jun Xie, Zhihong Zhou

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Machine learning algorithms to predict depression in older adults in China: a cross-sectional study by Yan Li Qing Song, Lin Chen, Haoqiang Liu, Yue Liu

“…Thereafter, the dataset was classified into training and testing sets at a 6:4 ratio. Six ML algorithms, namely, logistic regression, k-nearest neighbors, support vector machine, decision tree, LightGBM, and random forest, were used in constructing a predictive model for depression among the older adult. …”
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Inflammatory Gene Signature Identified by Machine Algorithms Reveals Novel Biomarkers of Coronary Artery Disease by Liu X, Zhang Y, Wang Y, Xu Y, Xia W, Liu R, Xu S

“…Furthermore, machine learning algorithms were employed to identify biomarkers. A nomogram was developed based on these biomarkers. …”
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New Media Marketing Strategy Optimization in the Catering Industry Based on Deep Machine Learning Algorithms by Zikang Peng

“…The communication module is connected with a deep machine learning algorithm system; that is, deep machine learning algorithm system is connected with a sales platform in communication. …”
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Prediction Model of Phosphorus Content at the End Point of Electroslag Remelting Based on MI and XGBoost Algorithms by Liu　Yuxiao, Dong　Yanwu, Jiang　Zhouhua, Chen　Xi

Subjects: “…electroslag remelting； mutual information method； xgboost algorithm； phosphorus content； machine learning…”
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On the development of diagnostic support algorithms based on CPET biosignals data via machine learning and wavelets by Rafael F. Pinheiro, Rui Fonseca-Pinto

“…This article introduces an algorithm that builds upon an earlier methodology to assess biosignals acquired through cardiopulmonary exercise testing (CPET) for identifying metabolic syndrome (MS), heart failure (HF), and healthy individuals (H). …”
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A Systematic Literature Review on Robust Swarm Intelligence Algorithms in Search-Based Software Engineering by Alam Zeb, Fakhrud Din, Muhammad Fayaz, Gulzar Mehmood, Kamal Z. Zamli

“…Swarm intelligence algorithms are metaheuristics inspired by the collective behavior of species such as birds, fish, bees, and ants. …”
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Accuracy of Algorithms and Visual Inspection for Detection of Trigger Asynchrony in Critical Patients : A Systematic Review by Monique Bandeira, Alícia Almeida, Lívia Melo, Pedro Henrique de Moura, Emanuelle Olympia Ribeiro Silva, Jakson Silva, Armèle Dornelas de Andrade, Daniella Brandão, Shirley Campos

“…Esophageal pressure was the predominant reference standard, while visual inspection and algorithms/software comprised index tests. The trigger asynchrony, ineffective expiratory effort, double triggering, and reverse triggering were analyzed. …”
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A Class of Efficient Algorithms for the Bi-Level Demand Adjustment Problems in Congested Traffic Networks by Lan Cheng, Jun Xie, Jun Huang, Liyang Feng, Qianni Wang, Hongtai Yang

“…The numerical results show that algorithms employing the new stepsize calculation strategies consistently outperform existing algorithms in terms of both computational precision and efficiency.…”
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Comparison of Naive Bayes and SVM Algorithms for Sentiment Analysis of PUBG Mobile on Google Play Store by Putri Ratna Sari, Dwi Rosa Indah, Errissya Rasywir, Mgs Afriyan firdaus, Ghita Athalina

“…This research will employ a positive and negative sentiment analysis of Indonesian PUBG Mobile reviews on the Google Play Store, utilizing a comparative approach to evaluate the performance of two algorithms: Naïve Bayes and Support Vector Machine (SVM). …”
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CLASSIFICATION AND PREDICTION OF BENTHIC HABITAT FROM SCIENTIFIC ECHOSOUNDER DATA: APPLICATION OF MACHINE LEARNING ALGORITHMS by Baigo HAMUNA, Sri PUJIYATI, Jonson Lumban GAOL, Totok HESTIRIANOTO

“…The classification and prediction process of benthic habitats uses two machine learning algorithms, Random Forest (RF) and Support Vector Machine (SVM), in XLSTAT Basic+ software. …”
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Ensemble of semi-supervised feature selection algorithms to reinforce heuristic function in ant colony optimization by Fereshteh Karimi, Mohammad Bagher Dowlatshahi, Amin Hashemi

“…ESACO uses a combination of ACO algorithm and a set of heuristics to select the best features. …”
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Data Augmentation and Machine Learning algorithms for multi-class imbalanced morphometrics data of stingless bees by Daisy Salifu, Lorna Chepkemoi, Eric Ali Ibrahim, Kiatoko Nkoba, Henri E.Z. Tonnang

“…These techniques are applied in combination with machine learning (ML) algorithms; specifically Random Forest (RF), and Support Vector Machine (SVM), to assess the models’ predictive performance to infer stingless bee samples identities. …”
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Algorithms for estimating the main reliability parameters of low-voltage equipment of shop-floor network schemes by R. M. Petrova, E. I. Gracheva

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Analysis and Design of Identity Authentication for IoT Devices in the Blockchain Using Hashing and Digital Signature Algorithms by Lei Wang, Ying Yuan, Yan Ding

“…The BA scheme uses hashing and digital signature algorithms to achieve integrity and nonrepudiation of authentication messages. …”
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Modelling Above-Ground Biomass Using Machine Learning Algorithms in Mangrove Forests of Peninsular Malaysia by Abu Bakar Nurul Asyiqin, Wan Mohd Jaafar Wan Shafrina, Omar Hamdan, Muhammad Nor Siti Mariam, Muhmad Kamarulzaman Aisyah Marliza, Kemarau Ricky Anak

“…This study investigates machine learning algorithms for modelling aboveground biomass (AGB) in mangrove forests across Peninsular Malaysia. …”
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DATA MINING ALGORITHMS FOR PREDICTION OF STUDENT TEACHERS’ PERFORMANCE IN ICT: A SYSTEMATIC LITERATURE REVIEW by Juma Habibu Shindo, Mohamedi Mohamedi Mjahidi, Mohamed Dewa Waziri

Subjects: “…data mining algorithms…”
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Implications of Spatiotemporal Data Aggregation on Short-Term Traffic Prediction Using Machine Learning Algorithms by Rivindu Weerasekera, Mohan Sridharan, Prakash Ranjitkar

“…As a step towards addressing these problems, this paper investigates the ability of Artificial Neural Networks, Random Forests, and Support Vector Regression algorithms to reliably model traffic flow at different data resolutions and respond to unexpected traffic incidents. …”
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The Comparison of Performance between Contrast Source Inversion and Its Related Algorithms and Several Improved Methods by Meng Wang, Guizhen Lu

“…As it is all known, there is almost no complete performance comparison based on Fresnel data for the CSI and its related improved algorithms. In addition, the performance of the algorithm under different weights was not analyzed before and the convergence speed of original CSI is slow. …”
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Greenhouse environmental monitoring and control system based on improved fuzzy PID and neural network algorithms by Guan Hongqiang

“…The GEMC system, which is based on improved fuzzy PID and neural network algorithms, has facilitated the advancement of agricultural technology in China. …”
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