Lifetime Prediction of Single Crystal Nickel-Based Superalloys by Çağatay Kasar, Utku Kaftancioglu, Emin Bayraktar, Ozgur Aslan

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Artificial Intelligence in Automotives: ANNs’ Impact on Biodiesel Engine Performance and Emissions by Ramozon Khujamberdiev, Haeng Muk Cho

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Models, systems, networks in economics, engineering, nature and society by D.N. Frantasov, Yu.V. Kudryashova, E.V. Voronina

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Optimizing photovoltaic power plant forecasting with dynamic neural network structure refinement by Dácil Díaz-Bello, Carlos Vargas-Salgado, Manuel Alcazar-Ortega, David Alfonso-Solar

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Comparing prediction accuracy for 30-day readmission following primary total knee arthroplasty: the ACS-NSQIP risk calculator versus a novel artificial neural network model by Anirudh Buddhiraju, Michelle Riyo Shimizu, Tony Lin-Wei Chen, Henry Hojoon Seo, Blake M. Bacevich, Pengwei Xiao, Young-Min Kwon

“…This study aims to compare the predictive accuracy of the SRC with a novel artificial neural network (ANN) algorithm for 30-day readmission after primary TKA, using the same set of clinical variables from a large national database. …”
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Determination of the effect of GA3 applications on plant development, nutrient content change and analysis of root architectural features using ML artificial neural network modelling in Tulipa saxatilis by Sari Ömer

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Optimization of Residual Wall Thickness Uniformity in Short-Fiber-Reinforced Composites Water-Assisted Injection Molding Using Response Surface Methodology and Artificial Neural Network-Genetic Algorithm by Haiying Zhou, Hesheng Liu, Tangqing Kuang, Qingsong Jiang, Zhixin Chen, Weipei Li

“…Response surface methodology (RSM) and artificial neural network (ANN) optimized by genetic algorithm (GA) were employed to map the relationship between the process parameters and the standard deviation (SD) depicting the RWTU. …”
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Accuracy comparison of Elamn and Jordan artificial neural networks for air particular matter concentration (PM 10) prediction using MODIS satellite images, a case study of Ahvaz. by javad sadidi, hani rezayan, Mohammad reza barshan

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Predictive modeling and optimization of noise emissions in a palm oil methyl ester-fueled diesel engine using response surface methodology and artificial neural network integrated with genetic algorithm by J.M. Zikri, M.S.M. Sani, M.F.F.A. Rashid, J. Muriban, G.S. Prayogo

“…This research examines the predictive performance of two modeling techniques—Response Surface Methodology (RSM) and an Artificial Neural Network enhanced by a Genetic Algorithm (ANN-GA)—in relation to noise emission levels from a single-cylinder diesel engine running on palm oil methyl ester (POME). …”
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Application of a Multi‐Layer Artificial Neural Network in a 3‐D Global Electron Density Model Using the Long‐Term Observations of COSMIC, Fengyun‐3C, and Digisonde by Wang Li, Dongsheng Zhao, Changyong He, Yi Shen, Andong Hu, Kefei Zhang

“…In this study, multiple observations during 2005–2019 from space‐borne global navigation satellite system (GNSS) radio occultation (RO) systems (COSMIC and FY‐3C) and the Digisonde Global Ionosphere Radio Observatory are utilized to develop a completely global ionospheric three‐dimensional electron density model based on an artificial neural network, namely ANN‐TDD. The correlation coefficients of the predicted profiles all exceed 0.96 for the training, validation and test datasets, and the minimum root‐mean‐square error of the predicted residuals is 7.8 × 104 el/cm3. …”
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Autism spectrum disorder diagnosis with neural networks by Asude Demir, Seher Arslankaya

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Machine learning framework for sustainable traffic management and safety in AlKharj city by Ali Louati

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Integration of artificial intelligence and advanced optimization techniques for continuous gas lift under restricted gas supply: A case study by Leila Zeinolabedini, Forough Ameli, Abdolhossein Hemmati-Sarapardeh

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Predictive Modeling in Higher Education: Determining Factors of Academic Performance by F. M. Gafarov, Ya. B. Rudneva, U. Yu. Sharifov

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Integrated analysis of bioinformatics, mendelian randomization, and experimental validation reveals novel diagnostic and therapeutic targets for osteoarthritis: progesterone as a p... by Ziyu Weng, Chenzhong Wang, Bo Liu, Yi Yang, Yueqi Zhang, Chi Zhang

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WisdomModel: convert data into wisdom by Israa Mahmood, Hasanen Abdullah

Subjects: “…Artificial neural network…”
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Enhancing Pipeline Reliability Analysis through Machine Learning: A Focus on Corrosion and Fluid Hammer Effects by Ajinkya Zalkikar, Bimal Nepal, Mani Venkata Rakesh Mutyala, Anika Varshney, Lianne Dsouza, Hazlina Husin, Om Prakash Yadav

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Advancements in Machine Learning and Deep Learning Techniques for Crop Yield Prediction: A Comprehensive Review by V. Ramesh and P. Kumaresan

Subjects: “…crop yield prediction, machine learning, deep learning, artificial neural networks, optimization algorithms…”
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Profiling Intangible Cultural Heritage Visitors through Multilayer Perceptron’s model by Lucía Castaño-Prieto, Miguel Ángel Solano-Sánchez, Amalia Hidalgo-Fernández, Tomás López-Guzmán

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Eliciting Emotions: Investigating the Use of Generative AI and Facial Muscle Activation in Children’s Emotional Recognition by Manuel A. Solis-Arrazola, Raul E. Sanchez-Yanez, Ana M. S. Gonzalez-Acosta, Carlos H. Garcia-Capulin, Horacio Rostro-Gonzalez

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