Shervin Motamedi's research while affiliated with University of Malaya and other places

... In recent years, different paradigms have been developed, which are widely used for predicting the hydrological and meteorological variables. Generally, time series and machine learning (ML) models have shown dependable performances in estimation and prediction of meteorological and hydrological variables, such as air temperature (Aghelpour et al. 2019), rainfall (Hossain et al. 2020), solar radiation (Mohammadi and Aghashariatmadari 2020), water lake level (Mohammadi et al. 2020a), evapotranspiration (Ashrafzadeh et al. 2020;Mohammadi and Mehdizadeh 2020), soil temperature (Moazenzadeh and Mohammadi 2019), river flow (Mohammadi et al. 2020b;Aghelpour & Varshavian 2020), and also different types of droughts, separately or simultaneously (Malik et al. 2021(Malik et al. , 2020b(Malik et al. , 2019Aghelpour et al. 2020a;Nguyen & Le 2020;Malik & Kumar 2020;Kisi et al. 2019a, b;Zhang et al. 2019a;Liu and Hwang 2015;Belayneh et al. 2016;Gocić et al. 2015). ...

... Results of the developed method were compared with ANN and genetic programming in terms of RMSE, correlation coefficient, and determination coefficient. According to the results, in average, the developed hybrid method (support vector machine integrated by discrete wavelet transform) improved the correlation coefficient about 4 %, the RMSE about 13 %, and determination coefficient about 2 % in comparison with ANN and genetic programming [29]. ...

... In their s tudy, the PET index described a better climatic condition for Tehran compared to the other indices and showed a wider range of thermal comfort. The set of s tudies by Kariminia et al. (2016b) about the Imam Square and the Jolfa Square in Isfahan had various objectives. In their s tudies, determining the thermal sensation of people using the ASHRAE s tandard ques tionnaire and recording the climatic data of the microclimate using measurement appliances were considered. ...

... In recent years, with the development of computer technology and computational fluid dynamics theory, hydrodynamic model and Computational Fluid Dynamics (CFD) model are becoming an important tool to understand the flow status of water [10][11][12][13][14][15]. COD model has been applied by many researchers and achieved many certain results [10][11][12]. ...

... This dataset is built for prediction of port-entrance wave parameters including significant wave height (SWH), peak wave period (PP1D), mean wave direction (MWD), and wave directional spectrum width (WDW), so these four wave attributes were collected for the dataset. Wave height is generally considered to be influenced by historical wave height, the wind direction and speed [19]. Therefore, we collected wind attributes too, including the east-west component of wind speed at 10 m above sea level (U10) and the north-south component of wind speed at 10 m above sea level (V10). ...

... According to this s tudy, air temperature and relative humidity are the factors with the greates t influence on determining thermal comfort. These results have been evaluated and compared using some other algorithms such as ABC in different s tudies (Kariminia et al., 2015;Kariminia et al., 2016a;Kariminia et al., 2016b;Kariminia et al., 2016c). Penwarden, Boufort and Wind Chill indices were used in the urban fabrics of Isfahan to inves tigate positive and negative effects of the wind velocity on thermal comfort. ...

... As the number of membership functions increases, the results of the Neuro Fuzzy System improves, which is consistent with the results of Ghose et al. (2013) and Hashim et al. (2016). However, when the number of input membership functions is greater than 4, the computational volume increases and the computational speed decreases. ...

... Usually the sculptures are sculpted in several forms, depicting living beings, nature and others. Carving art is often seen beautifully engraved on mosque buildings and residences of government or Islamic dignitaries (Abdullahi Hanifi & Maleki, 2016;Redondo Buitrago & Huylebrouck, 2015;Saberi et al., 2016). It is decorated with carvings from the verses of the Qur'an and certain motives from the elements of nature. ...

... According to the core idea, methods for the noise reduction of aeroengines can be divided into four categories, which are: spectrum analysis, power spectrum analysis, coherence analysis, and acoustic holography [2]- [6]. Among the four categories of methods, three kinds of characteristic signals are used for noise reduction analysis: mechanical vibration signals, acoustic pressure signals, and acoustic power signals [7]- [9]. ...

... Among them, time series models, linear and nonlinear regression models, artificial intelligence (AI) techniques, and hybrid models that use metaheuristic optimization techniques in AI models are common (Mishra and Desai 2006, Mishra et al. 2007, Bacanli et al. 2009, Mehr et al. 2014, Djerbouai and Souag-Gamane 2016, Rezaeianzadeh et al. 2016, Fung et al. 2020. Among AI techniques, adaptive neuro-fuzzy inference system (ANFIS) and support vector regression (SVR) have been widely used in recent hydrological research (Zhang et al. 2014, Kisi et al. 2015, Nguyen et al. 2015, Mehdizadeh et al. 2017a, Danandeh Mehr 2018, Mehdizadeh 2018, Mehdizadeh and Sales 2018, Moazenzadeh et al. 2018, Sachindra et al. 2018. ...