RAJA DAS

RAJA DAS

VIT University

H-index: 15

Asia-India

About RAJA DAS

RAJA DAS, With an exceptional h-index of 15 and a recent h-index of 11 (since 2020), a distinguished researcher at VIT University, specializes in the field of Operations Research, Machine Learning, Deep Learning, Soft Computing, Fluid Dynamics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Modelling selenite and chemical oxygen demand removal in an inverse fluidized bed bioreactor using genetic algorithm optimized artificial neural network

Entropy generation for the MHD flow of a blood-based hybrid nanofluid by thermal radiation over converging and diverging channels

Modeling and optimization of WEDM of monel 400 alloy using ANFIS and snake optimizer: A comparative study

Prediabetes Prediction Using Response Surface Methodology and Probabilistic Neural Networks Model in an Ethnic South Indian Population

A novel QoS prediction model for web services based on an adaptive neuro-fuzzy inference system using COOT optimization

A hybrid machine learning algorithm for studying magnetized nanofluid flow containing gyrotactic microorganisms via a vertically inclined stretching surface

Performance evaluation of CNN-based crack detection for electrical discharge machined steel surfaces

Artificial neural network-based pore size prediction of alginate gel scaffold for targeted drug delivery

RAJA DAS Information

University

Position

Department of Mathematics Vellore India

Citations(all)

584

Citations(since 2020)

395

Cited By

291

hIndex(all)

15

hIndex(since 2020)

11

i10Index(all)

20

i10Index(since 2020)

16

Email

University Profile Page

VIT University

Google Scholar

View Google Scholar Profile

RAJA DAS Skills & Research Interests

Operations Research

Machine Learning

Deep Learning

Soft Computing

Fluid Dynamics

Top articles of RAJA DAS

Title

Journal

Author(s)

Publication Date

Modelling selenite and chemical oxygen demand removal in an inverse fluidized bed bioreactor using genetic algorithm optimized artificial neural network

Journal of Chemical Technology & Biotechnology

Arindam Sinharoy

Biswanath Mahanty

Shishir Kumar Behera

Manan Mehta

Shalini Mantri

...

2024/1

Entropy generation for the MHD flow of a blood-based hybrid nanofluid by thermal radiation over converging and diverging channels

Numerical Heat Transfer Part B: Fundamentals

Raja Das

2024/3/3

Modeling and optimization of WEDM of monel 400 alloy using ANFIS and snake optimizer: A comparative study

Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science

Thandra Jithendra

S Sharief Basha

Raja Das

Rajyalakshmi Gajjela

2024/3

Prediabetes Prediction Using Response Surface Methodology and Probabilistic Neural Networks Model in an Ethnic South Indian Population

Raja Das

Shree GB Bakhya

Vijay Viswanathan

Radha Saraswathy

K Madhusudhan Reddy

2024/2/22

A novel QoS prediction model for web services based on an adaptive neuro-fuzzy inference system using COOT optimization

IEEE Access

Thandra Jithendra

Mohammad Zubair Khan

S Sharief Basha

Raja Das

A Divya

...

2024/1/8

A hybrid machine learning algorithm for studying magnetized nanofluid flow containing gyrotactic microorganisms via a vertically inclined stretching surface

International Journal for Numerical Methods in Biomedical Engineering

Priyanka Chandra

Raja Das

2024/1

Performance evaluation of CNN-based crack detection for electrical discharge machined steel surfaces

Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering

M Lakshmi

Raja Das

2023/1/9

Artificial neural network-based pore size prediction of alginate gel scaffold for targeted drug delivery

Neural Computing and Applications

Raja Das

Jaykumar Bhasarkar

Amol Rastogi

Raghav Saxena

Dharmendra Kumar Bal

2023/2

Entropy optimization of non-Newtonian hybrid nanofluid EMHD flow by numerical and Levenberg–Marquardt backpropagation approach over a rotating disk

Waves in Random and Complex Media

A Divya

P Bala Anki Reddy

Raja Das

2023/6/21

Finite‐element‐based machine‐learning algorithm for studying gyrotactic‐nanofluid flow via stretching surface

International Journal for Numerical Methods in Fluids

Priyanka Chandra

Raja Das

2023/12

Comparison of hybrid artificial neural networks with GA, PSO, and RSA in predicting COVID-19 cases: a case study of India

Balakrishnama Manohar

Raja Das

2023

Impact of gyrotactic microorganisms in nanofluid via porous media along an inclined stretching plate: Finite element analysis

Numerical Heat Transfer, Part B: Fundamentals

Priyanka Chandra

Raja Das

2023/6/3

GA-coupled ANN model for predicting porosity in alginate gel scaffolds

Journal of the Mechanical Behavior of Biomedical Materials

Raja Das

S Karthika

Jaykumar Bhasarkar

Dharmendra Kumar Bal

2023/12/1

Measurement of EDMed surfaces roughness using convolutional neural network

Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering

Amit Kumar

Mohan Kumar Pradhan

Raja Das

2023

Artificial neural networks for prediction of COVID‐19 in India by using backpropagation

Expert Systems

Balakrishnama Manohar

Raja Das

2023/6

A hybrid RSA-IPA optimizer for designing an artificial neural network to study the Jeffery-Hamel blood flow with copper nanoparticles: Application to stenotic tapering artery

Results in Engineering

Priyanka Chandra

Raja Das

2023/12/1

Bioprospecting of novel peroxidase from Streptomyces coelicolor strain SPR7 for carcinogenic azo dyes decolorization

Chemosphere

P Sai Preethi

Sundaram Vickram

Raja Das

NM Hariharan

M Rameshpathy

...

2023/1/1

Classification of monkeypox images using LIME-enabled investigation of deep convolutional neural network

Diagnostics

M Lakshmi

Raja Das

2023/5/5

Entropy generation on MHD flow of second-grade hybrid nanofluid flow over a converging/diverging channel: an application in hyperthermia therapeutic aspects

The European Physical Journal Special Topics

I Sakthi

Raja Das

P Bala Anki Reddy

2023/9/1

Predictive modelling and optimization of an airlift bioreactor for selenite removal from wastewater using artificial neural networks and particle swarm optimization

Environmental Research

Bharat Bhushan Negi

Mansi Aliveli

Shishir Kumar Behera

Raja Das

Arindam Sinharoy

...

2023/2/15

See List of Professors in RAJA DAS University(VIT University)

Co-Authors

H-index: 28
Gurunathan Jayaraman

Gurunathan Jayaraman

VIT University

H-index: 21
Chandan Kumar Biswas

Chandan Kumar Biswas

National Institute of Technology, Rourkela

H-index: 20
Polu Bala Anki Reddy

Polu Bala Anki Reddy

VIT University

H-index: 14
Sridharan T B

Sridharan T B

VIT University

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