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Kalpdrum Passi

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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Research paper thumbnail of Prediction and Survival Analysis of Head and Neck Cancer in Patients Using Epigenomics Data and Advanced Machine Learning Methods

Significances of bioengineering & biosciences, Feb 12, 2024

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Research paper thumbnail of Efficient Processing of XPath Queries Using Indexes

Springer eBooks, 2002

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Research paper thumbnail of Increased Prediction Accuracy in the Game of Cricket using Machine Learning

arXiv (Cornell University), Apr 9, 2018

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Research paper thumbnail of A Dynamic and Scalable Decision Tree Based Mining of Educational Data

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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Research paper thumbnail of Smart Trends in Information Technology and Computer Communications

Communications in Computer and Information Science, 2016

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Research paper thumbnail of DQN approach for Adaptive Self-healing of VNFs in Cloud-native Network

IEEE access, 2024

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Research paper thumbnail of 機械学習法による特徴選択法を用いた改良型マイクロアレイデータ解析【Powered by NICT】

IEEE Conference Proceedings, 2016

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Research paper thumbnail of Improved Prediction of Breast Cancer on Epigenomics Data using Feature Selection and Machine Learning

Advances in proteomics and bioinformatics, 2020

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Research paper thumbnail of Political Analytics on Election Candidates and Their Parties in Context of the US Presidential Elections 2020

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Research paper thumbnail of A recursive doubling algorithm for inverting tridiagonal matrices

International Journal of Computer Mathematics, 1990

ABSTRACT

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Research paper thumbnail of #BlackLivesMatter and Racism in Life Expectancy, Poverty, Educational Attainment, and Race Compositions: State Analysis of 2020 Tweets in the USA

arXiv (Cornell University), Apr 13, 2023

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Research paper thumbnail of On recursive decoupling method for solving tridiagonal linear systems

International Journal of Computer Mathematics, 1991

ABSTRACT

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Research paper thumbnail of Data Balancing for Credit Card Fraud Detection Using Complementary Neural Networks and SMOTE Algorithm

Springer eBooks, 2021

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Research paper thumbnail of Predicting Players' Performance in One Day International Cricket Matches Using Machine Learning

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Research paper thumbnail of A new quadrant interlocking factorization for parallel solution of tridiagonal linear systems

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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Research paper thumbnail of Social Media Hate Speech Detection Using Explainable Artificial Intelligence (XAI)

Algorithms, Aug 17, 2022

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Research paper thumbnail of Efficient processing of XPath queries using indexes

Information Systems, Mar 1, 2007

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Research paper thumbnail of Incremental Maintenance of Ontologies Based on Bipartite Graph Matching

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Research paper thumbnail of Optimization of 5G/6G Telecommunication Infrastructure through an NFV-Based Element Management System

Symmetry, May 10, 2022

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Research paper thumbnail of Real Time Static Gesture Detection Using Deep Learning

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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Research paper thumbnail of Prediction and Survival Analysis of Head and Neck Cancer in Patients Using Epigenomics Data and Advanced Machine Learning Methods

Significances of bioengineering & biosciences, Feb 12, 2024

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Efficient Processing of XPath Queries Using Indexes

Springer eBooks, 2002

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Increased Prediction Accuracy in the Game of Cricket using Machine Learning

arXiv (Cornell University), Apr 9, 2018

Bookmarks Related papers MentionsView impact

Research paper thumbnail of A Dynamic and Scalable Decision Tree Based Mining of Educational Data

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

Research paper thumbnail of Smart Trends in Information Technology and Computer Communications

Communications in Computer and Information Science, 2016

Bookmarks Related papers MentionsView impact

Research paper thumbnail of DQN approach for Adaptive Self-healing of VNFs in Cloud-native Network

IEEE access, 2024

Bookmarks Related papers MentionsView impact

Research paper thumbnail of 機械学習法による特徴選択法を用いた改良型マイクロアレイデータ解析【Powered by NICT】

IEEE Conference Proceedings, 2016

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Improved Prediction of Breast Cancer on Epigenomics Data using Feature Selection and Machine Learning

Advances in proteomics and bioinformatics, 2020

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Political Analytics on Election Candidates and Their Parties in Context of the US Presidential Elections 2020

Bookmarks Related papers MentionsView impact

Research paper thumbnail of A recursive doubling algorithm for inverting tridiagonal matrices

International Journal of Computer Mathematics, 1990

ABSTRACT

Bookmarks Related papers MentionsView impact

Research paper thumbnail of #BlackLivesMatter and Racism in Life Expectancy, Poverty, Educational Attainment, and Race Compositions: State Analysis of 2020 Tweets in the USA

arXiv (Cornell University), Apr 13, 2023

Bookmarks Related papers MentionsView impact

Research paper thumbnail of On recursive decoupling method for solving tridiagonal linear systems

International Journal of Computer Mathematics, 1991

ABSTRACT

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Data Balancing for Credit Card Fraud Detection Using Complementary Neural Networks and SMOTE Algorithm

Springer eBooks, 2021

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Predicting Players' Performance in One Day International Cricket Matches Using Machine Learning

Bookmarks Related papers MentionsView impact

Research paper thumbnail of A new quadrant interlocking factorization for parallel solution of tridiagonal linear systems

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

Research paper thumbnail of Social Media Hate Speech Detection Using Explainable Artificial Intelligence (XAI)

Algorithms, Aug 17, 2022

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Efficient processing of XPath queries using indexes

Information Systems, Mar 1, 2007

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Incremental Maintenance of Ontologies Based on Bipartite Graph Matching

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Optimization of 5G/6G Telecommunication Infrastructure through an NFV-Based Element Management System

Symmetry, May 10, 2022

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Real Time Static Gesture Detection Using Deep Learning

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

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