statistical methods, and especially machine learning, have been increasingly used in nanofluid modeling. this paper presents some of the interesting and applicable methods for thermal conductivity prediction and compares them with each other according to results and errors that are defined. the thermal conductivity of nanofluids increases with the volume fraction and temperature. machine learni...

a knowledge of soil surface conditions, especially desert crust, salt crust and desert varnish is useful for improving classification of remotely sensed data. desert crust can generate high levels of reflectance, similar to those areas with high salt concentration and non-saline soil. therefore, soil surface crusts might bias thematic remote sensing of soils. in this study, we evaluated the eff...

objective: studies have demonstrates that physical properties of denture base affect patient satisfaction and acceptance. thermal conductivity is among the most important properties of denture base influencing the sense of taste and gingival health. the conventionally used acrylic resin has a low coefficient of thermal conductivity. this study aimed to improve the thermal conductivity of acryli...

background: today discussion thermal comfort due to technology advances and equipment application in the workplace for government and non-governmental organizations managers in the industrial and non-industrial environments, especially hospitals staff   due to the diversity of people employed and the type of work they are doing of particular importance. this study was conducted to evaluate the ...

in this study, thermal performance of a cylindrical heat pipe is investigated numerically. three different types of water based nanofluids, namely (al2o3+water), (diamond+water) and (multi-wall carbon nano tube (mwcnt) +water) have been used. the influence of using the simple nanofluids and mwcnt nanofluid on the heat pipe characteristics such as liquid velocity, pressure profile, temperature p...

thin bonded films have many applications in antireflection and reflection coating, insulating and conducting films and semiconductor industries. thermal conductivity is one of the most important parameter for power packaging since the thermal resistance of the interconnections is directly related to the heat removal capability and thermal management of the power package. the defects in material...

Statistical methods, and especially machine learning, have been increasingly used in nanofluid modeling. This paper presents some of the interesting and applicable methods for thermal conductivity prediction and compares them with each other according to results and errors that are defined. The thermal conductivity of nanofluids increases with the volume fraction and temperature. Machine learni...