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Prabhat Dansena
Prabhat Dansena
IIT (ISM), Dhanbad
Verified email at cse.ism.ac.in
Title
Cited by
Cited by
Year
Differentiating pen inks in handwritten bank cheques using multi-layer perceptron
P Dansena, S Bag, R Pal
International conference on pattern recognition and machine intelligence …, 2017
282017
A unique multilayer perceptron model (ANN) for different oxide/EG nanofluid’s viscosity from the experimental study
D Yadav, P Dansena, SK Ghosh, PK Singh
Physica A: Statistical Mechanics and its Applications 549, 124030, 2020
262020
Fusion of region based extracted features for instance-and class-based CBIR applications
J Pradhan, AK Pal, H Banka, P Dansena
Applied Soft Computing 102, 107063, 2021
232021
A study on the effect of CNN-based transfer learning on handwritten Indic and mixed numeral recognition
R Pramanik, P Dansena, S Bag
Document Analysis and Recognition: 4th Workshop, DAR 2018, Held in …, 2019
212019
Line based extraction of important regions from a cheque image
P Dansena, KP Kumar, R Pal
2015 Eighth International Conference on Contemporary Computing (IC3), 183-189, 2015
112015
Quantitative assessment of capabilities of colour models for pen ink discrimination in handwritten documents
P Dansena, R Pal, S Bag
IET Image Processing 14 (8), 1594-1604, 2020
92020
Application of machine learning and well log attributes in geothermal drilling
R Kiran, P Dansena, S Salehi, VK Rajak
Geothermics 101, 102355, 2022
72022
Generation of synthetic data for handwritten word alteration detection
P Dansena, S Bag, R Pal
IEEE Access 9, 38979-38990, 2021
52021
Geometrical and structural features for forensics in handwritten bank cheques
A Wadhwa, M Maheshwari, P Dansena, S Bag
2018 15th IEEE India Council International Conference (INDICON), 1-6, 2018
52018
Implementation of a new framework for automated network security checking and alert system
V Kumar Pandey, S. Kumar Yadav, S Kumar, S Verma, P Dansena
Wireless and Optical Communications Networks (WOCN), 2014 Eleventh …, 2014
4*2014
Pen ink discrimination in handwritten documents using statistical and motif texture analysis: A classification based approach
P Dansena, S Bag, R Pal
Multimedia Tools and Applications 81 (21), 30881-30909, 2022
22022
Ink analysis using CNN-based transfer learning to detect alteration in handwritten words
P Dansena, R Pramanik, S Bag, R Pal
International conference on computer vision and image processing, 223-232, 2019
22019
EXPERIMENTAL EVALUATION AND ANN MODELING OF THERMAL CONDUCTIVITY OF AL2O3 NANOPARTICLES DISPERSED IN DIFFERENT BASE FLUIDS
DS Naruka, PK Singh, P Dansena, HE Patel
Proceedings of the 24th National and 2nd International ISHMT-ASTFE Heat and …, 2017
12017
Developing ink discrimination based methods for handwritten document forensics
P Dansena
Dhanbad, 0
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