Analysis and prediction of atmospheric ozone concentrations using machine learning by Stephan Räss, Stephan Räss, Markus C. Leuenberger, Markus C. Leuenberger

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MDFGNN-SMMA: prediction of potential small molecule-miRNA associations based on multi-source data fusion and graph neural networks by Jianwei Li, Xukun Zhang, Bing Li, Ziyu Li, Zhenzhen Chen

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Utilizing the Novel Developed MLP Techniques to Survey Pile Subsidence via Optimization Algorithms by Augustinus Sieck, Graciela Daniels

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Multi-Layer Perceptron-Based Forecasting Model of Biomass and Coal Gasification by Nikolaieva Oksana

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Application of Deep Learning to Identify Flutter Flight Testing Signals Parameters and Analysis of Real F-18 Flutter Flight Test Data by Sami Abou-Kebeh, Roberto Gil-Pita, Manuel Rosa-Zurera

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Evaluating Neural Network Performance in Predicting Disease Status and Tissue Source of JC Polyomavirus from Patient Isolates Based on the Hypervariable Region of the Viral Genome by Aiden M. C. Pike, Saeed Amal, Melissa S. Maginnis, Michael P. Wilczek

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Application of Correlation Analysis-Neural Network Model in Water Consumption Prediction in Ningxia by DOU Miao, LI Jinyan, CUI Lanbo, WEI Yimin, SU Huiyan, LI Chaochao

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Integrating artificial Intelligence-Based metaheuristic optimization with Machine learning to enhance Nanomaterial-Containing latent heat thermal energy storage systems by Ali Basem, Hanaa Kadhim Abdulaali, As’ad Alizadeh, Pradeep Kumar Singh, Komal Parashar, Ali E. Anqi, Husam Rajab, Pancham Cajla, H. Maleki

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Training Optimization for Artificial Neural Networks by Primitivo Toribio Luna, Roberto Alejo Eleuterio, Rosa María Valdovinos Rosas, Benjamín Gonzalo Rodríguez Méndez

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Application of Machine Learning for Radiowave Propagation Modeling Below 6 GHz by Mohammud Z. Bocus, Afzal Lodhi

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A Hybrid Artificial Neural Network and Particle Swarm Optimization algorithm for Detecting COVID-19 Patients by Alla Ahmad Hassan, Tarik A Rashid

Subjects: “…Particle Swarm Optimization, Neural Networks, Logistic Regression, Nave Bayes Classifier, Multilayer Perceptron, Support Vector Machine, BF Tree, Bayesian Networks.…”
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Performance comparison of land change modeling techniques for land use projection of arid watersheds by S.M. Tajbakhsh, H. Memarian, K. Moradi, A.H. Aghakhani Afshar

Subjects: “…Artificial neural network-multi layer perceptron (ANN-MLP)…”
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Novel PCA-driven extreme machine learning for comprehensive modelling of metropolitan wastewater treatment systems by Vini Antony Grace N, Ghadah Aldehim, Nuha Alruwais, Prabakar T.N.

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Application of ensemble learning techniques to model the atmospheric concentration of SO2 by A. Masih

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Boosting skin cancer diagnosis accuracy with ensemble approach by Priya Natha, Sivarama Prasad Tera, Ravikumar Chinthaginjala, Safia Obaidur Rab, C. Venkata Narasimhulu, Tae Hoon Kim

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Applying MLP-Mixer and gMLP to Human Activity Recognition by Takeru Miyoshi, Makoto Koshino, Hidetaka Nambo

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