Genetic Programming Bibliography entries for Masoud Karbasi

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GP coauthors/coeditors: Ighball Baniasad Askari, Amin Shahsavar, Mehdi Jamei, Francesco Calise, Ismail Adewale Olumegbon, Iman Ahmadianfar, Amin Asadi, Mehdi Mosharaf-Dehkordi, Mumtaz Ali, Ekta Sharma, Mozhdeh Jamei, Xuefeng Chu, Zaher Mundher Yaseen, Yong Xiang, Ahmed Salih Mohammed, Mohanad Muayad Sabri Sabri, Mahdi Hasanipanah, Mohamad Amin Mirzaei, Aidin Shaham, Esmail Sharifzadeh, Neda Azimi,

Genetic Programming Articles by Masoud Karbasi

  1. Amin Shahsavar and Mohamad Amin Mirzaei and Aidin Shaham and Esmail Sharifzadeh and Neda Azimi and Mehdi Jamei and Masoud Karbasi. Experimental study and gradient-based ensemble intelligent computing to investigate effect of ultrasound on rheological behavior of bio-based phase change materials. Journal of Energy Storage, 73:108877, 2023. details

  2. Mehdi Jamei and Mumtaz Ali and Masoud Karbasi and Ekta Sharma and Mozhdeh Jamei and Xuefeng Chu and Zaher Mundher Yaseen. A high dimensional features-based cascaded forward neural network coupled with MVMD and Boruta-GBDT for multi-step ahead forecasting of surface soil moisture. Engineering Applications of Artificial Intelligence, 120:105895, 2023. details

  3. 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

  4. 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

  5. Ighball Baniasad Askari and Amin Shahsavar and Mehdi Jamei and Francesco Calise and Masoud Karbasi. A parametric assessing and intelligent forecasting of the energy and exergy performances of a dish concentrating photovoltaic/thermal collector considering six different nanofluids and applying two meticulous soft computing paradigms. Renewable Energy, 193:149-166, 2022. details

  6. 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