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Saroj Kumar Lenka
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2010 – 2019
- 2017
- [j8]Sourabh Singh Verma, R. B. Patel, Saroj Kumar Lenka:
Analysing varying rate flood attack on real flow in MANET and solution proposal 'real flow dynamic queue'. Int. J. Inf. Commun. Technol. 10(3): 276-286 (2017) - [j7]Anand Sharma
, Saroj Kumar Lenka:
Transmission and control for QKD in online banking systems. J. Enterp. Inf. Manag. 30(3): 526-532 (2017) - 2016
- [j6]Mamta Jain
, Saroj Kumar Lenka:
Diagonal queue medical image steganography with Rabin cryptosystem. Brain Informatics 3(1): 39-51 (2016) - [j5]Anand Sharma
, Saroj Kumar Lenka:
E91 QKD protocol for authentication in online banking systems. Int. J. Bus. Inf. Syst. 22(1): 116-122 (2016) - [j4]Ambarish G. Mohapatra
, Saroj Kumar Lenka:
Hybrid decision support system using PLSR-fuzzy model for GSM-based site-specific irrigation notification and control in precision agriculture. Int. J. Intell. Syst. Technol. Appl. 15(1): 4-18 (2016) - 2015
- [c2]Mamta Jain
, Saroj Kumar Lenka:
Multilingual Image Steganography Using Matrix Substitution Cipher and Combinatorial Modulo Function. ICCCT 2015: 188-193 - [c1]Saroj Kumar Lenka, Ambarish G. Mohapatra
:
Gradient Descent with Momentum based Neural Network Pattern Classification for the Prediction of Soil Moisture Content in Precision Agriculture. iNIS 2015: 63-66 - 2013
- [j3]Aswini Kumar Mohanty, Manas Ranjan Senapati, Saroj Kumar Lenka
:
A novel image mining technique for classification of mammograms using hybrid feature selection. Neural Comput. Appl. 22(6): 1151-1161 (2013) - [j2]Aswini Kumar Mohanty, Manas Ranjan Senapati, Swapnasikta Beberta, Saroj Kumar Lenka:
Texture-based features for classification of mammograms using decision tree. Neural Comput. Appl. 23(3-4): 1011-1017 (2013) - 2012
- [j1]Gandharba Swain, Saroj Kumar Lenka:
A Novel Approach to RGB Channel Based Image Steganography Technique. Int. Arab. J. e Technol. 2(4): 181-186 (2012) - [p1]Aswini Kumar Mohanty, P. K. Champati, Manas Ranjan Senapati, Saroj Kumar Lenka:
Hybrid Image Mining Methods to Classify the Abnormality in Complete Field Image Mammograms Based on Normal Regions. Soft Computing Techniques in Vision Science 2012: 23-32
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