Table 3 Variation in various physical quantities.

From: Machine learning-assisted thermal analysis of propylene glycol nanofluid with dual flux and bioconvection over a Riga plate

\(N_{r}\)

Ha

\(N_{c}\)

Ec

\(\Gamma_{1}\)

Q

Sc

\(\Gamma_{2}\)

\(N_{b}\)

Pe

Lb

\(\varpi\)

\(Cf_{x}\)

\(Nu_{x}\)

\(Sh_{x}\)

\(Nh_{x}\)

0.2

0.1

1.0

0.5

0.4

0.2

0.2

0.2

1.2

0.5

1.2

0.2

-1.1519

-1.1996

1.1307

-1.1519

0.4

           

-1.2225

   

0.6

           

-1.2917

   

0.8

           

-1.3596

   
 

0.3

          

-1.3556

   
 

0.6

          

-1.4871

   
 

0.9

          

-1.6155

   
  

2.0

         

-1.3316

   
  

3.0

         

-1.5297

   
  

4.0

         

-1.7438

   
   

1.0

         

-1.2179

  
   

1.5

         

-1.2369

  
   

2.0

         

-1.2566

  
    

0.8

        

-1.1771

  
    

1.2

        

-1.1807

  
    

1.6

        

-1.1835

  
     

0.4

       

1.2998

  
     

0.6

       

1.5253

  
     

0.8

       

1.8921

  
      

0.4

       

-1.1251

 
      

0.6

       

-1.1209

 
      

0.8

       

-1.1178

 
       

0.6

      

-1.1272

 
       

1.0

      

-1.1252

 
       

1.4

      

-1.1238

 
        

1.4

     

0.0402

 
        

1.6

     

0.0380

 
        

1.8

     

0.0356

 
         

1.0

     

-1.1525

         

1.5

     

-1.1531

         

2.0

     

-1.1538

          

1.4

    

-1.1482

          

1.6

    

-1.1469

          

1.8

    

-1.1459

           

0.4

   

0.3654

           

0.6

   

0.3065

           

0.8

   

0.2439