Search Results - "multivariate adaptive regression splines"

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Multivariate Universal Local Linear Kernel Estimators in Nonparametric Regression: Simulations and Real Data Processing

Linke, Y. Y., Borisov, I. S., Ruzankin, P. S., Kutsenko, V. A., Yarovaya, E. B.^{Aff2, Aff3, IDs1317102500391z_cor1}, Shalnova, S. A.

Performance Evaluation of Pond Ash-Enhanced Flowable Fill for Plastic Concrete Cutoff Walls in Earthen Dams Using Advanced Machine Learning Models

Dev, K. Lini, Kumar, Divesh Ranjan, Wipulanusat, Warit^{Aff2, IDs13369025102284_cor1}

Predicting compressive strength of sustainable concrete using advanced AI models: DLNN, RF, and MARS

Wagh, Monali^{Aff1, IDs4210702501278y_cor1}, Waghmare, Charuta, Gudadhe, Amit, Thakur, Nisha, Mohammed, Salah J.^Aff4, Algburi, Sameer^Aff5, Majdi, Hasan Sh.^Aff6, Ansari, Khalid^{Aff1, IDs4210702501278y_cor2}

Estimation of Compressive Strength of Rubberised Slag Based Geopolymer Concrete Using Various Machine Learning Techniques Based Models

Yeluri, Sesha Choudary^{Aff1, Aff2, IDs40996024015695_cor1}, Singh, Karan, Kumar, Akshay, Aggarwal, Yogesh, Sihag, Parveen

An IoT and Random Forest-DT-Based Early Enhanced Forest Fire Detection in Large and Small Targets

Prabakaran, Manjula, Wadhwani, Omesh, Pandiaraj, V., Zainab, Kaneez, Nishant, Neerav, Z, Justin

2024 3rd International Conference for Innovation in Technology (INOCON)

Optimal Power Flow With Regression-Based Small-Signal Stability Constraints

Rossi, F., Prieto-Araujo, E., Cheah-Mane, M., Gomis-Bellmunt, O.

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A novel robust principal component analysis-multivariate adaptive regression splines approach for BOD, COD, and NH3-N determination in wastewater

Rijab, Sanaa, Khorrami, Mohammadreza Khanmohammadi^{Aff1, IDs1373802403170z_cor1}, Mohammadi, Mahsa

Multivariate Adaptive Regression Splines (MARS) analysis and complementary machine learning approaches in predicting earthquake-induced slope displacements

Eskandarinejad, Alireza^{Aff1, IDs12145025018996_cor1}, Arellano, David, Nazari, Rouzbeh, Nikoo, Mohammad Reza

Multivariate adaptive regression splines for two-stage design optimization of bio-inspired drilling into the lunar regolith

Zhang, Liang, Yuan, Yuxin, Cheng, Jiajie, Wang, Lei^{Aff1, IDs0015802504022x_cor1}

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Machine learning-based mathematical equations for dengue positivity detection using elementary laboratory parameters

Shirin Dasgupta, Shuvankar Das, Debarghya Chakraborty

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Prediction of lateral wall deflections of excavations in water-rich sands by a modified multivariate-adaptive-regression-splines method

Fan, Dongdong, Gong, Delujia, Tan, Yong^{Aff1, IDs1170902411409_cor1}, Tang, Yongjing

Comparing Artificial Neural Networks and Regression-based Methods for Modeling Daily Dissolved Oxygen Concentration: A Study Based on Long-term Monitored Data

Nacar, Sinan^{Aff1, IDs122050242613z_cor1}, Mete, Betul, Bayram, Adem

Bond strength prediction of FRP reinforced concrete using soft computing techniques

Xue, Xinhua^{Aff1, IDs00500024099048_cor1}, Zhang, Ruiliang, Chen, Xuanquan, Tao, Li^{Aff2, IDs00500024099048_cor4}

Modelling problems in a regional labour market in Poland with MARS and CMARS — supported by optimisation

Özmen Ayşe, Graczyk-Kucharska Magdalena, Szafrański Maciej, Goliński Marek, Weber Gerhard-Wilhelm, Gütmen Selma, Włodarczak Zbigniew, Çevik Alper, Broda Marta

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Modelling the flowing bottom hole pressure of oil and gas wells using multivariate adaptive regression splines

Okorie Ekwe Agwu, Saad Alatefi, Ahmad Alkouh, Raja Rajeswary Suppiah

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Undrained stability of wide rectangular subsea tunnels using finite element limit analysis and multivariate adaptive regression splines

Shafiee, Amir Hossein^{Aff1, IDs12145024015840_cor1}, Neamani, Amir Reza, Eskandarinejad, Alireza, Hosseini, Rahil, Gholami, Ali