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Manohar Lal
Manohar Lal
Other namesManohar Lal Kaushik, M Lal, Monohar Lal
Professor (Superannuated) of Computer Science, IGNOU, New Delhi, INDIA
Verified email at ignou.ac.in
Title
Cited by
Cited by
Year
Efficient Cancelable Biometric Key Generation Scheme for Cryptography.
SVK Gaddam, M Lal
Int. J. Netw. Secur. 11 (2), 61-69, 2010
982010
E-learning: Issues and challenges
H Rana, M Lal
International Journal of Computer Applications 97 (5), 2014
912014
E-learning as a research area: an analytical approach
S Kakoty, M Lal, SK Sarma
E-learning 2 (9), 144-148, 2011
592011
Web 3.0 in Education & Research.
M Lal
BVICAM's International Journal of Information Technology 3 (2), 2011
572011
A framework for software defect prediction using neural networks
V Vashisht, M Lal, GS Sureshchandar
Journal of Software Engineering and Applications 8 (08), 384, 2015
422015
Limited intensity random and burst error correcting codes with class-weight consideration
BD Sharma, ML Kaushik
Elektronische Informationsverarbeitung und Kybernetik 15 (5/6), 315-321, 1979
411979
Defect prediction framework using neural networks for software enhancement projects
V Vashisht, M Lal, GS Sureshchandar
British Journal of Mathematics & Computer Science 16 (5), 1-12, 2016
312016
Error correcting codes through a new metric
BD Sharma, ML Kaushik
41st Annual Conf. Intern. Stat. Inst., New Delhi, 1977
181977
BURST-ERROR-CORRECTING CODES WITH WEIGHT-CONSTRAINTS UNDER A NEW METRIC
MLAL KAUSHIK
Cybernetics and System 8 (2), 183-202, 1978
101978
A rough set theory approach for rule generation and validation using RSES
H Rana, M Lal
International Journal of Rough Sets and Data Analysis (IJRSDA) 3 (1), 55-70, 2016
92016
Development of bio-crypto key from fingerprints using cancelable templates
SVK Gaddam, M Lal
International Journal on Computer Science and Engineering 3 (2), 775-783, 2011
82011
Rough set based system for effective e-learning
H Rana, M Lal
2014 International Conference on Computing for Sustainable Global …, 2014
72014
Enhancing teaching & learning with web tools
ML Rajiv, M Sridhar
Int. J. Engg. Sci. ISSN 1, 2229-6913, 2011
72011
Necessary and sufficient number of parity checks in codes correcting random errors and bursts with weight constraints under a new metric
ML Kaushik
Information Sciences 19 (1), 81-90, 1979
71979
Rough Set Theory Based Reasoning of Learning Style in e-Learning
H Rana, M Lal
International Journal of e-Education e-Business e-Management and e-Learning …, 2014
62014
Role of artificial intelligence based technologies in e-learning
H Rana, LM Rajiv, M Lal
International Journal of Latest Trends in Engineering, Science and …, 2014
62014
Single error and burst error correcting codes through a new metric
MLAL KAUSHIK
Cybernetics and System 9 (1), 1-15, 1979
61979
A comparative study based on rough set and classification via clustering approaches to handle incomplete data to predict learning styles
H Rana, M Lal
International Journal of Decision Support System Technology (IJDSST) 9 (2), 1-20, 2017
52017
Fuzzy expert logic to evaluate learner's expertise level in e-learning environment
K Sangeeta, M Lal, SK Sarma
IEEE International Conference on Advanced Communication Control and …, 2012
52012
A new metric in the study of error correcting codes
ML Kaushik
Ph. D. Thesis, University of Delhi, 1979
51979
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