Genetic Programming Bibliography entries for Iman Ahmadianfar

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GP coauthors/coeditors: Mehdi Jamei, Rashid Pourrajab, Aminreza Noghrehabadi, Xuefeng Chu, Zaher Mundher Yaseen, Ismail Adewale Olumegbon, Masoud Karbasi, Amin Asadi, Mehdi Mosharaf-Dehkordi, Mumtaz Ali, Yong Xiang, Ahmed Salih Mohammed, Mohanad Muayad Sabri Sabri, Mahdi Hasanipanah,

Genetic Programming Articles by Iman Ahmadianfar

  1. Mehdi Jamei and Ahmed Salih Mohammed and Iman Ahmadianfar and Mohanad Muayad Sabri Sabri and Masoud Karbasi and Mahdi Hasanipanah. Predicting Rock Brittleness Using a Robust Evolutionary Programming Paradigm and Regression-Based Feature Selection Model. Applied Sciences, 12(14):Article No. 7101, 2022. details

  2. Mehdi Jamei and Mumtaz Ali and Masoud Karbasi and Yong Xiang and Iman Ahmadianfar and Zaher Mundher Yaseen. Designing a Multi-Stage Expert System for daily ocean wave energy forecasting: A multivariate data decomposition-based approach. Applied Energy, 326:119925, 2022. details

  3. Mehdi Jamei and Ismail Adewale Olumegbon and Masoud Karbasi and Iman Ahmadianfar and Amin Asadi and Mehdi Mosharaf-Dehkordi. On the Thermal Conductivity Assessment of Oil-Based Hybrid Nanofluids using Extended Kalman Filter integrated with feed-forward neural network. International Journal of Heat and Mass Transfer, 172:121159, 2021. details

  4. Mehdi Jamei and Iman Ahmadianfar. A rigorous model for prediction of viscosity of oil-based hybrid nanofluids. Physica A: Statistical Mechanics and its Applications, 556:124827, 2020. details

  5. Mehdi Jamei and Iman Ahmadianfar and Xuefeng Chu and Zaher Mundher Yaseen. Prediction of surface water total dissolved solids using hybridized wavelet-multigene genetic programming: New approach. Journal of Hydrology, 589:125335, 2020. details

  6. Mehdi Jamei and Rashid Pourrajab and Iman Ahmadianfar and Aminreza Noghrehabadi. Accurate prediction of thermal conductivity of ethylene glycol-based hybrid nanofluids using artificial intelligence techniques. International Communications in Heat and Mass Transfer, 116:104624, 2020. details