Kalpdrum Passi - Academia.edu (original) (raw)
Kalpdrum Passi received his Ph.D. in Parallel Numerical Algorithms from Indian Institute of Technology, Delhi, India in 1993. He is an Associate Professor, Department of Mathematics
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Papers by Kalpdrum Passi
Significances of bioengineering & biosciences, Feb 12, 2024
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Springer eBooks, 2002
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arXiv (Cornell University), Apr 9, 2018
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IGI Global eBooks, 2020
The explosive growth in the amount of data in the field of biology, education, environmental rese... more The explosive growth in the amount of data in the field of biology, education, environmental research, sensor network, stock market, weather forecasting and many more due to vast use of internet in distributed environment has generated an urgent need for new techniques and tools that can intelligently automatically transform the processed data into useful information and knowledge. Hence data mining has become a research are with increasing importance. Since continuation in collection of more data at this scale, formalizing the process of big data analysis will become paramount. Given the vast amount of data are geographically spread across the globe, this means a very large number of models is generated, which raises problems on how to generalize knowledge in order to have a global view of the phenomena across the organization. This is applicable to web-based educational data. In this chapter, the new dynamic and scalable data mining approach has been discussed with educational data.
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Communications in Computer and Information Science, 2016
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IEEE access, 2024
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IEEE Conference Proceedings, 2016
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Advances in proteomics and bioinformatics, 2020
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International Journal of Computer Mathematics, 1990
ABSTRACT
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arXiv (Cornell University), Apr 13, 2023
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International Journal of Computer Mathematics, 1991
ABSTRACT
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Springer eBooks, 2021
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International Journal of Computer Mathematics, 1991
... Matriz tridiagonal. ; Sistema lineal. ; Resolución sistema ecuación. ; Algebra lineal. ; Anál... more ... Matriz tridiagonal. ; Sistema lineal. ; Resolución sistema ecuación. ; Algebra lineal. ; Análisis numérico. ; Algoritmo paralelo. ; Método partición. ; ... Sistema lineal. ; Resolución sistema ecuación. ;Algebra lineal. ; Análisis numérico. ; Algoritmo paralelo. ; Método partición. ; Factorización ...
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Algorithms, Aug 17, 2022
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Information Systems, Mar 1, 2007
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Symmetry, May 10, 2022
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Lecture Notes in Computer Science, 2019
Sign gesture recognition is an important problem in human-computer interaction with significant s... more Sign gesture recognition is an important problem in human-computer interaction with significant societal influence. However, it is a very complex task, since sign gestures are naturally deformable objects. Gesture recognition contains unsolved problems for the last two decades, such as low accuracy or low speed, and despite many proposed methods, no perfect result has been found to explain these unsolved problems. In this paper, we propose a deep learning approach to translating sign gesture language into text. In this study, we have introduced a self-generated image data set for American Sign language (ASL). This dataset is a collection of 36 characters containing A to Z alphabets and 0 to 9 number digits. The proposed system can recognize static gestures. This system can learn and classify specific sign gestures of any person. A convolutional neural network (CNN) algorithm is proposed for classifying ASL images to text. An accuracy of 99% on the alphabet gestures and 100% accuracy on digits was achieved. This is the best accuracy compared to existing systems.
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Significances of bioengineering & biosciences, Feb 12, 2024
Bookmarks Related papers MentionsView impact
Springer eBooks, 2002
Bookmarks Related papers MentionsView impact
arXiv (Cornell University), Apr 9, 2018
Bookmarks Related papers MentionsView impact
IGI Global eBooks, 2020
The explosive growth in the amount of data in the field of biology, education, environmental rese... more The explosive growth in the amount of data in the field of biology, education, environmental research, sensor network, stock market, weather forecasting and many more due to vast use of internet in distributed environment has generated an urgent need for new techniques and tools that can intelligently automatically transform the processed data into useful information and knowledge. Hence data mining has become a research are with increasing importance. Since continuation in collection of more data at this scale, formalizing the process of big data analysis will become paramount. Given the vast amount of data are geographically spread across the globe, this means a very large number of models is generated, which raises problems on how to generalize knowledge in order to have a global view of the phenomena across the organization. This is applicable to web-based educational data. In this chapter, the new dynamic and scalable data mining approach has been discussed with educational data.
Bookmarks Related papers MentionsView impact
Communications in Computer and Information Science, 2016
Bookmarks Related papers MentionsView impact
IEEE access, 2024
Bookmarks Related papers MentionsView impact
IEEE Conference Proceedings, 2016
Bookmarks Related papers MentionsView impact
Advances in proteomics and bioinformatics, 2020
Bookmarks Related papers MentionsView impact
Bookmarks Related papers MentionsView impact
International Journal of Computer Mathematics, 1990
ABSTRACT
Bookmarks Related papers MentionsView impact
arXiv (Cornell University), Apr 13, 2023
Bookmarks Related papers MentionsView impact
International Journal of Computer Mathematics, 1991
ABSTRACT
Bookmarks Related papers MentionsView impact
Springer eBooks, 2021
Bookmarks Related papers MentionsView impact
Bookmarks Related papers MentionsView impact
International Journal of Computer Mathematics, 1991
... Matriz tridiagonal. ; Sistema lineal. ; Resolución sistema ecuación. ; Algebra lineal. ; Anál... more ... Matriz tridiagonal. ; Sistema lineal. ; Resolución sistema ecuación. ; Algebra lineal. ; Análisis numérico. ; Algoritmo paralelo. ; Método partición. ; ... Sistema lineal. ; Resolución sistema ecuación. ;Algebra lineal. ; Análisis numérico. ; Algoritmo paralelo. ; Método partición. ; Factorización ...
Bookmarks Related papers MentionsView impact
Algorithms, Aug 17, 2022
Bookmarks Related papers MentionsView impact
Information Systems, Mar 1, 2007
Bookmarks Related papers MentionsView impact
Bookmarks Related papers MentionsView impact
Symmetry, May 10, 2022
Bookmarks Related papers MentionsView impact
Lecture Notes in Computer Science, 2019
Sign gesture recognition is an important problem in human-computer interaction with significant s... more Sign gesture recognition is an important problem in human-computer interaction with significant societal influence. However, it is a very complex task, since sign gestures are naturally deformable objects. Gesture recognition contains unsolved problems for the last two decades, such as low accuracy or low speed, and despite many proposed methods, no perfect result has been found to explain these unsolved problems. In this paper, we propose a deep learning approach to translating sign gesture language into text. In this study, we have introduced a self-generated image data set for American Sign language (ASL). This dataset is a collection of 36 characters containing A to Z alphabets and 0 to 9 number digits. The proposed system can recognize static gestures. This system can learn and classify specific sign gestures of any person. A convolutional neural network (CNN) algorithm is proposed for classifying ASL images to text. An accuracy of 99% on the alphabet gestures and 100% accuracy on digits was achieved. This is the best accuracy compared to existing systems.
Bookmarks Related papers MentionsView impact