Mohammad Faridzad

PERSIANN-CNN: Precipitation Estimation from Remotely Sensed Information Using Artificial Neural Networks–Convolutional Neural Networks

Mojtaba Sadeghi, Ata Akbari Asanjan, Mohammad Faridzad et al. · Journal of Hydrometeorology · 2019 · 180 citations · Full text

Convolutional Neural Network, Engineering, Spatiotemporal Data Fusion +21

An enhanced artificial neural network with a shuffled complex evolutionary global optimization with principal component analysis

Tiantian Yang, Ata Akabri Asanjan, Mohammad Faridzad et al. · Information Sciences · 2017 · 93 citations · Full text

Artificial Intelligence, Evolving Neural Network, Engineering +10

Rainfall frequency analysis for ungauged regions using remotely sensed precipitation information

Mohammad Faridzad, Tiantian Yang, Kuolin Hsu et al. · Journal of Hydrology · 2018 · 63 citations · Full text

Hydrometeorology, Meteorology, Environmental Monitoring +12

Evaluation of PERSIANN-CDR Constructed Using GPCP V2.2 and V2.3 and A Comparison with TRMM 3B42 V7 and CPC Unified Gauge-Based Analysis in Global Scale

Mojtaba Sadeghi, Ata Akbari Asanjan, Mohammad Faridzad et al. · Remote Sensing · 2019 · 26 citations · Full text

A Comparison, Engineering, Weather Forecasting +22

Non‐stationary bias correction of monthly<scp>CMIP5</scp>temperature projections over China using a residual‐based bagging tree model

Yumeng Tao, Tiantian Yang, Mohammad Faridzad et al. · International Journal of Climatology · 2017 · 24 citations · Full text