SelectedWorks - Arun Kulkarni

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Selected Works of Arun Kulkarni

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Dr. Arun Kulkarni, Professor of Computer Science, has been with The University of Texas at Tyler since 1986. He has more than seventy refereed papers to his credit, and he has authored two books. His awards include the Office of Naval Research (ONR) 2008 Senior Summer Faculty Fellowship award, 2005-2006 President's Scholarly Achievement Award, 2001-2002 Chancellor's Council Outstanding Teaching award, 1997 Piper Award Nominee, and 1984 Fulbright Fellowship award. He has been listed in who's who in America. He has successfully completed eight research grants. Dr. Kulkarni obtained his Ph.D. from the Indian Institute of Technology, Bombay, and was a post-doctoral fellow at Virginia Tech.

Dr. Kulkarni's teaching and research interest include soft computing, data mining, machine learning, computer vision, and remote sensing.

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About Arun Kulkarni

Dr. Arun Kulkarni, Professor of Computer Science, has been with The University of Texas at Tyler since 1986. He has more than seventy refereed papers to his credit, and he has authored two books. His awards include the Office of Naval Research (ONR) 2008 Senior Summer Faculty Fellowship award, 2005-2006 President's Scholarly Achievement Award, 2001-2002 Chancellor's Council Outstanding Teaching award, 1997 Piper Award Nominee, and 1984 Fulbright Fellowship award. He has been listed in who's who in America. He has successfully completed eight research grants. Dr. Kulkarni obtained his Ph.D. from the Indian Institute of Technology, Bombay, and was a post-doctoral fellow at Virginia Tech.

Dr. Kulkarni's teaching and research interest include soft computing, data mining, machine learning, computer vision, and remote sensing.

Texture Classification using Angular and Radial Bins in Transformed Domain (Arun D Kulkarni) International Journal of Advanced Computer Science and Applications (2021)

Phishing Websites Detection using Machine Learning (Arun D Kulkarni) Journal of Advanced Computer Science and Applications (2019)

Tremendous resources are spent by organizations guarding against and recovering from cyber-security attacks by online hackers who gain access to sensitive and valuable user data. Many cyber infiltrations are accomplished through phishing attacks where users ...

Generating Classification Rules from Training Samples (Arun D. Kulkarni) Computer Science Faculty Publications and Presentations (2018)

In this paper, we describe an algorithm to extract classification rules from training samples using fuzzy membership functions. The algorithm includes steps for generating classification rules, eliminating duplicate and conflicting rules, and ranking extracted rules. ...

Multispectral Image Analysis using Decision Trees (Arun D. Kulkarni and Anmol Shrestha) Computer Science Faculty Publications and Presentations (2017)

Many machine learning algorithms have been used to classify pixels in Landsat imagery. The maximum likelihood classifier is the widely-accepted classifier. Non-parametric methods of classification include neural networks and decision trees. In this research work, ...

Random Forest Algorithm for Land Cover Classification (Arun D. Kulkarni and Barrett Lowe) Computer Science Faculty Publications and Presentations (2016)

Since the launch of the first land observation satellite Landsat-1 in 1972, many machine learning algorithms have been used to classify pixels in Thematic Mapper (TM) imagery. Classification methods range from parametric supervised classification algorithms ...

Knowledge Extraction from Metacognitive Reading Strategies Data Using Induction Trees (Christopher Taylor, Arun D. Kulkarni and Kouider Mokhtari) Computer Science Faculty Publications and Presentations (2016)

The assessment of students’ metacognitive knowledge and skills about reading is critical in determining their ability to read academic texts and do so with comprehension. In this paper, we used induction trees to extract metacognitive ...

Multispectral Image Analysis Using Random Forest (Barrett Lowe and Arun Kulkarni) Computer Science Faculty Publications and Presentations (2015)

Classical methods for classification of pixels in multispectral images include supervised classifiers such as the maximum-likelihood classifier, neural network classifiers, fuzzy neural networks, support vector machines, and decision trees. Recently, there has been an increase ...

Knowledge Extraction from Survey Data Using Neural Networks (Khan Imran and Arun Kulkarni) Computer Science Faculty Publications and Presentations (2013)

Surveys are an important tool for researchers. It is increasingly important to develop powerful means for analyzing such data and to extract knowledge that could help in decision-making. Survey attributes are typically discrete data measured ...

Assessing Metacognitive Skills Using Adaptive Neural Networks (Anderson Justin, Kouider Mokhtari and Arun Kulkarni) Computer Science Faculty Publications and Presentations (2012)

The assessment of student's levels of metacognitive knowledge and skills is critical in determining their ability to effectively perform complex cognitive tasks such as solving mathematics or reading comprehension problems. In this paper, we use ...

Water Quality Retrieval from Landsat TM Imagery (Arun D. Kulkarni) Computer Science Faculty Publications and Presentations (2011)

In this paper, the utility of Landsat TM imagery for water quality studies in East Texas is investigated. Remote sensing has an important and effective role in water quality management. Remote sensing satellites measure the ...

Association-based Image Retrieval (Arun D Kulkarni) Semantic Mining Technologies for Multimedia Databases (2009)

Association-based image retrieval for automatic target recognition. (Arun D. Kulkarni, H. Gunturu and S. Dalta) Computer Science Faculty Publications and Presentations (2008)

Model-based automatic target recognition (ATR)systems deal with recognizing three dimensional objects from two dimensional images. In order to recognizeand identify objects the ATRsystem must have one or more stored models. Multiple two dimensional views of ...

Association-Based Image Retrieval (Arun D Kulkarni, Harikrisha Gunturu and Srikanth Datla) WSEAS Transactions on Signal Processing (2008)

With advances in the computer technology and the World Wide Web there has been an explosion in the amount and complexity of multimedia data that are generated, stored, transmitted, analyzed, and accessed. In order to ...

Fuzzy Neural Networks for Knowledge Discovery (Arun D Kulkarni and S. E. McCaslin) Developing New Methodologies Through Pattern Discovery and Recovery (2008)

Association-based image retrieval (Arun D. Kulkarni, H. Gunturu and S. Dalta) Computer Science Faculty Publications and Presentations (2007)

With advances in the computer technology and the World Wide Web there has been an explosion in the amount and complexity of multimedia data that are generated, stored, transmitted, analyzed, and accessed. In order to ...

Content-Based Image Retrieval Using Associative Memories (Arun D. Kulkarni) Computer Science Faculty Publications and Presentations (2007)

The rapid growth in the number of large-scale repositories has brought the need for efficient and effective content-based image retrieval (CBIR) systems. The state of the art in the CBIR systems is to search images ...

Fuzzy Neural Network Models For Multispectral Image Analysis (Arun D. Kulkarni and Sara McCaslin) Computer Science Faculty Publications and Presentations (2006)

Fuzzy neural networks (FNNs) provide a new approach for classification of multispectral data and to extract and optimize classification rules. Neural networks deal with issues on a numeric level, whereas fuzzy logic deals with them ...

Knowledge Discovery From Multispectral Satellite Images (Arun D Kulkarni) IEEE Geoscience and Remote Sensing Letters (2004)

A new approach to extract knowledge from multispectral images is suggested. We describe a method to extract and optimize classification rules using fuzzy neural networks (FNNs). The FNNs consist of two stages. The first stage ...

Computer Vision and Fuzzy-Neural Systems (Arun D Kulkarni) (2001)

Computer vision deals with extracting meaningful descriptions of physical objects from images. Computer vision has many practical applications such as remote sensing, medical image processing, robot vision, military reconnaissance, mineral exploration, cartography, forestry, etc. Recent ...

Fuzzy Neural Network Models for Classification (Arun D Kulkarni and Charles D. Cavanaugh) International Journal of Applied Intelligence (2000)

In this paper, we combine neural networks with fuzzy logic techniques. We propose a fuzzy-neural network model for pattern recognition. The model consists of three layers. The first layer is an input layer. The second ...

Fuzzy Neural Network Models for Supervised Classification: Multispectral Image Analysis (Arun D Kulkarni and Kamlesh Lulla) Geocarto International Multi-Disciplinary Journal of Remote Sensing & GIS (1999)

Neural-Fuzzy Models for Multispectral Image Analysis (Arun D Kulkarni) The International Journal of Artificial Intelligence (1998)

In this paper, we consider neural-fuzzy models for multispectral image analysis. We consider both supervised and unsupervised classification. The model for supervised classification consists of six layers. The first three layers map the input variables ...

Artificial Neural Networks for Image Understanding (Arun D Kulkarni) (1994)

A tutorial of theoretical and practical principles of neural networks as applied to complex computing tasks such as robotics vision control, medical image analysis and remote sensing.

Neural Networks for Pattern Recognition (Arun D Kulkarni) Progress in Neural Networks (1991)

Solving Ill-Posed Problems with Artificial Neural Networks (Arun D Kulkarni) International Journal of Neural Networks (1991)

With many physical problems, measurement of spectral distribution, cosmic radiation, aerial and satellite imaging indirect sensing/recording devices are used. In many of these cases, the recording systems can be modeled by a Fredholm integral equation ...