Raja Das

发表

PREDICTIVE MODELLING AND ANALYSIS OF SURFACE ROUGHNESS IN ELECTRO-DISCHARGE MACHINING OF D2 TOOL STEEL USING REGRESSION AND NEURAL NETWORKS APPROACH

P. M.K, Raja Das, Biswas C.K, 2009 .

Breast Cancer Prognosis Using Learning Vector Quantization Neural Network Technique

Raja Das, Jitendra Kumar Jaiswal, W. Abdul Hameed, 2018, International Journal of Engineering & Technology.

Optimization of process parameters in electro discharge machine using standard deviation and TOPSIS method

Raja Das, J. Anitha, 2019, RECENT TRENDS IN PURE AND APPLIED MATHEMATICS.

Prediction of Zn concentration in human seminal plasma of Normospermia samples by Artificial Neural Networks (ANN)

Raja Das, Raja Das, K. Rao, 2013, Journal of Assisted Reproduction and Genetics.

Improvement of ANN Models via Data Envelopment Analysis for Stock Prices Forecasting

J. Jaiswal, Raja Das, . ., 2018, International Journal of Engineering & Technology.

Artificial Neural Network Modeling for Electrical Discharge Machining Parameters

Mohan K. Pradhan, Raja Das, 2014 .

MULTI-ATTRIBUTE DECISION MAKING OF ELECTRIC DISCHARGE MACHINING ON AISI-D2 STEEL USING TOPSIS METHOD

Raja Das, J. Anitha, 2018 .

APPLICATION OF RECURRENT NEURAL NETWORK USING MATLAB SIMULINK IN MEDICINE

Raja Das, Madhu Sudan Reddy, 2018 .

MATLAB Simulink Modeling and Simulation of Recurrent Neural Network for Solving Linear Programming Problems

Raja Das, 2013 .

Estimation of MHD boundary layer slip flow over a permeable stretching cylinder in the presence of chemical reaction through numerical and artificial neural network modeling

Raja Das, P. B. A. Reddy, 2016 .

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

Raja Das, Balakrishnama Manohar, 2022, Expert systems.

Optimization of Process Parameters in Electro Discharge Machine Using Standard Deviation, MULTIMOORA and MOOSRA Methods

Raja Das, J. Anitha, 2020 .

Optimization of EDM Process Parameters Using Standard Deviation and Multi-objective Optimization on the Basis of Simple Ratio Analysis (MOOSRA)

Raja Das, J. Anitha, 2020 .

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

Raja Das, A. Sinharoy, K. Pakshirajan, 2022, Environmental research.

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

Raja Das, J. Bhasarkar, D. Bal, 2022, Neural Computing and Applications.

Modelling a rotating biological contactor treating heavy metal contaminated wastewater using artificial neural network

Raja Das, K. Pakshirajan, S. Behera, 2020, Water Supply.

Predictive modelling and analysis of surface roughness in CNC milling of green alumina using response surface method and genetic algorithm

Raja Das, Saralasrita Mohanty, S. S. Mohanty, 2018, IOP Conference Series: Materials Science and Engineering.

A PROBABILISTIC NEURAL NETWORK APPROACH FOR CLASSIFICATION OF VEHICLE

Raja Das, Amrut Ranjan Jena, Madhusmita Mishra, 2013 .

Artificial Neural Networks for the Prediction of Monkeypox Outbreak

Raja Das, Balakrishnama Manohar, 2022, Tropical medicine and infectious disease.

Recurrent neural network estimation of material removal rate in electrical discharge machining of AISI D2 tool steel

Mohan Kumar Pradhan, Raja Das, Mohan K. Pradhan, 2011 .

Classification of Monkeypox Images Using LIME-Enabled Investigation of Deep Convolutional Neural Network

Raja Das, M. Lakshmi, Yu-Dong Zhang, 2023, Diagnostics.

ANN and RSM approach for modelling and multi objective optimization of abrasive water jet machining process

Raja Das, N Srinath Reddy, Dinesh Tirumala, 2018 .

Optimization of Surface Roughness in EDM for D2 Steel by RSM-GA Approach

Mohan Kumar Pradhan, Raja Das, J. Anitha, 2014 .

A Resolution to Stock Price Prediction by Developing ANN-Based Models Using PCA

Raja Das, Jitendra Kumar Jaiswal, J. Jaiswal, 2018 .

ANN modelling for surface roughness in electrical discharge machining: a comparative study

Mohan Kumar Pradhan, Raja Das, Mohan K. Pradhan, 2013 .

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

Raja Das, R. Gajjela, T. Jithendra, 2023, Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science.

Application of artificial neural networks with backpropagation technique in the financial data

Raja Das, Jitendra Kumar Jaiswal, Raja Das, 2017 .

A Fuzzy Graph Recurrent Neural Network Approach for the Prediction of Radial Overcut in Electro Discharge Machining

D. P. Acharjya, Raja Das, Amrut Ranjan Jena, 2020 .

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

Raja Das, P. Chandra, 2023, International Journal for Numerical Methods in Fluids.