B. K. Tripathy

B. K. TripathyB.K. Tripathy has received 03 gold medals for topping the list of candidates at graduation and post-graduation level of Berhampur University. He was a Professor and Head of the department of Computer Science of Berhampur University till 2007. Dr. Tripathy is now working as a Senior Professor in School of Computing Science and Engineering, VIT University, Vellore, India. He has received research/academic fellowships from UGC, DST, SERC and DOE of Govt. of India for various academic pursuits. Dr. Tripathy has published more than 400 technical papers in different international journals, proceedings of reputed international conferences and edited research volumes. He has produced 26 PhDs, 13 MPhils and 4 M.S (By research) under his supervision. Dr. Tripathy has published two text books on Soft Computing and Computer Graphics. He was selected as honorary member of the American Mathematical Society from 1992-1994 for his distinguished contribution as a reviewer of American Mathematical Review. Dr. Tripathy has served as the member of Advisory board or Technical Programme Committee member of several International conferences inside India and abroad. Also, he has edited two research volumes for IGI publications and is editing three more research volumes. He is a life/senior member of IEEE, ACM, IRSS, CSI, ACEEE, OMS and IMS. Dr.Tripathy is an editorial board member/reviewer of more than 60 journals. He has guest edited some research journals. Dr. Tripathy has Technical grants for research projects from various funding agencies like UGC, DST and DRDO. His research interest includes Fuzzy Sets and Systems, Rough Sets and Knowledge Engineering, Data Clustering, Social Network Analysis, Soft Computing, Granular Computing, Content Based Learning, Neighbourhood Systems, Soft Set Theory, Social Internet of Things, Big Data Analytics, Theory of Multisets and List theory.

Publications

Text-Based Image Retrieval Using Deep Learning
Udit Singhania, B. K. Tripathy. © 2021. 11 pages.
This chapter is mainly an advanced version of the previous version of the chapter named “An Insight to Deep Learning Architectures” in the encyclopedia. This chapter mainly...
Quantum-Computing-Inspired Algorithms in Machine Learning
Deeksha Kaul, Harika Raju, B. K. Tripathy. © 2021. 20 pages.
In this chapter, the authors discuss the use of quantum computing concepts to optimize the decision-making capability of classical machine learning algorithms. Machine learning...
Recommending Turmeric Variety for Higher Production Using Interval-Valued Fuzzy Soft Set Model and PSO
R. K. Mohanty, B. K. Tripathy. © 2021. 17 pages.
Soft set is one of the latest mathematical models to handle uncertainty. In a soft set, every element of its parameter set is associated with a subset of the universe of...
Application of Soft Set in Game Theory
B. K. Tripathy, Sooraj T. R., Radhakrishna N. Mohanty. © 2019. 15 pages.
In recent years, most of the applications in game theory have been developed based on the theory of fuzzy sets. But the inadequacy of the parameterization tool in fuzzy set...
Neighborhood Rough-Sets-Based Spatial Data Analytics
Sharmila Banu K, B. K. Tripathy. © 2019. 12 pages.
Rough set theory partitions a universe using single-layered granulation. The equivalence classes induced by rough sets are based on discretized values. Considering the fact that...
An Insight Into Deep Learning Architectures
Nishu Garg, Nikhitha P, B. K. Tripathy. © 2019. 8 pages.
Information retrieval can be visualized as the extraction of the desired information from the flooded resources that spread over world wide web. Image retrieval is the...
International Journal of Applied Research in Bioinformatics (IJARB)
Vardan Mkrttchian. Est. 2019.
The International Journal of Applied Research in Bioinformatics (IJARB) collects the most significant research and latest practices in computational approaches to bioinformatics....
Application of Uncertainty Models in Bioinformatics
B.K. Tripathy, R.K. Mohanty, Sooraj T. R.. © 2019. 15 pages.
This chapter provides the information related to the researches enhanced using uncertainty models in life sciences and biomedical Informatics. The main emphasis of this chapter...
Genome Sequence Analysis in Distributed Computing Using Spark
Sagar Ap., Pooja Mehta, Anuradha J., B.K. Tripathy. © 2019. 13 pages.
Integration of Computer Science with Bio Science has led to new field Computational Biology which created an opportunity in speeding up the process of analyzing the Bio-data. DNA...
Topological Properties of Multigranular Rough sets on Fuzzy Approximation Spaces
B.K. Tripathy, Suvendu Kumar Parida, Sudam Charan Parida. © 2019. 18 pages.
One of the extensions of the basic rough set model introduced by Pawlak in 1982 is the notion of rough sets on fuzzy approximation spaces. It is based upon a fuzzy proximity...
Modern Technologies for Big Data Classification and Clustering
Hari Seetha, M. Narasimha Murty, B. K. Tripathy. © 2018. 360 pages.
Data has increased due to the growing use of web applications and communication devices. It is necessary to develop new techniques of managing data in order to ensure adequate...
Handbook of Research on Modeling, Analysis, and Application of Nature-Inspired Metaheuristic Algorithms
Sujata Dash, B.K. Tripathy, Atta ur Rahman. © 2018. 538 pages.
The digital age is ripe with emerging advances and applications in technological innovations. Mimicking the structure of complex systems in nature can provide new ideas on how to...
Neighborhood Rough-Sets-Based Spatial Data Analytics
Sharmila Banu K., B. K. Tripathy. © 2018. 10 pages.
Rough Set Theory partitions a universe using single layered granulation. The equivalence classes induced by rough sets are based on discretised values. Considering the fact that...
Application of Soft Set in Game Theory
B. K. Tripathy, Sooraj T. R., Radhakrishna N. Mohanty. © 2018. 11 pages.
An Insight Into Deep Learning Architectures
Nishu Garg, Nikhitha P, B. K. Tripathy. © 2018. 7 pages.
Information retrieval can be visualized as the extraction of the desired information from the flooded resources that spread over World Wide Web. Image retrievals are the...
Uncertainty-Based Clustering Algorithms for Large Data Sets
B. K. Tripathy, Hari Seetha, M. N. Murty. © 2018. 33 pages.
Data clustering plays a very important role in Data mining, machine learning and Image processing areas. As modern day databases have inherent uncertainties, many...
Security, Privacy, and Anonymization in Social Networks: Emerging Research and Opportunities
B. K. Tripathy, Kiran Baktha. © 2018. 176 pages.
Technology has become profoundly integrated into modern society; however, this increases the risk of vulnerabilities, such as hacking and other system errors, along with other...
Memetic Algorithms and Their Applications in Computer Science
B. K. Tripathy, Sooraj T. R., R. K. Mohanty. © 2018. 21 pages.
The term “memetic algorithm” was introduced by Moscato is an extension of the traditional genetic algorithm. It uses a local search technique to reduce the likelihood of the...
Fuzziness in Ant Colony Optimization and Their Applications
Deepthi P. Hudedagaddi, B. K. Tripathy. © 2018. 14 pages.
Nature-inspired algorithms are still at a very early stage with a relatively short history, comparing with many traditional, well-established methods. Metaheuristics, in their...
Intelligent Technique to Identify Epilepsy Using Fuzzy Firefly System for Brain Signal Processing
Sasikumar Gurumoorthy, B. K. Tripathy. © 2018. 13 pages.
In the new direction of understand the signal that is created from the brain organization is one of the main chores in the brain signal processing. Amid all the neurological...
Memetic Algorithms and Their Applications in Computer Science
B. K. Tripathy, Sooraj T. R., R. K. Mohanty. © 2018. 22 pages.
The term “memetic algorithm” was introduced by Moscato is an extension of the traditional genetic algorithm. It uses a local search technique to reduce the likelihood of the...
Quantum-Computing-Inspired Algorithms in Machine Learning
Deeksha Kaul, Harika Raju, B. K. Tripathy. © 2018. 26 pages.
In this chapter, the authors discuss the use of quantum computing concepts to optimize the decision-making capability of classical machine learning algorithms. Machine learning...
Rough Fuzzy Set Theory and Neighbourhood Approximation Based Modelling for Spatial Epidemiology
Balakrushna Tripathy, Sharmila Banu K.. © 2017. 12 pages.
Modern epidemiological studies involve understanding individual and social level inferences and their role in the transmission and distribution of disease instances. The...
Clustering Approaches in Decision Making Using Fuzzy and Rough Sets
Deepthi P. Hudedagaddi, B. K. Tripathy. © 2017. 21 pages.
Data clustering has been an integral and important part of data mining. It has wide applications in database anonymization, decision making, image processing and pattern...
Parameter Reduction in Soft Set Models and Application in Decision Making
B.K. Tripathy, R.K. Mohanty, Sooraj T.R., Arun K.R.. © 2017. 24 pages.
Soft sets were introduced by Molodtsov to handle uncertainty based problems. In 2003, Maji et al. extended the soft set approach to decision making. Decision making plays an...
Exploring Incidence-Prevalence Patterns in Spatial Epidemiology via Neighborhood Rough Sets
Sharmila Banu K., B.K. Tripathy. © 2017. 14 pages.
Epidemiological studies are largely purposed to provide outcomes that may be used for interventions and development programs. In recent years, geo-referencing of epidemiological...
Adaptive Clustering Techniques and Their Applications
Deepthi P. Hudedagaddi, B. K. Tripathy. © 2017. 18 pages.
With the increasing volume of data, developing techniques to handle it has become the need of the hour. One such efficient technique is clustering. Data clustering is under...
Image Enhancement Techniques Using Particle Swarm Optimization Technique
V. Santhi, B. K. Tripathy. © 2016. 19 pages.
The image quality enhancement process is considered as one of the basic requirement for high-level image processing techniques that demand good quality in images. High-level...
Rough Set Based Similarity Measures for Data Analytics in Spatial Epidemiology
Sharmila Banu K., B.K. Tripathy. © 2016. 10 pages.
Epidemiological studies are carried out to understand the pattern and transmission of disease instances. Some prominent dimensions considered for analysis are cohort studies...
On Theory of Multisets and Applications
B. K. Tripathy. © 2016. 22 pages.
Although multiple occurrences of elements are immaterial in sets, in real life situations repetition of elements is useful. So, the notion of multisets (also called as bags) was...
Soft Sets and Its Applications
B. K. Tripathy, K. R. Arun. © 2016. 21 pages.
Uncertainty is an inherent characteristic of modern day databases. In order to handle such databases with uncertainty, several new models have been introduced in the literature....
Covering Rough Clustering Approach for Unstructured Activity Analysis
Prabhavathy Panneer, B.K. Tripathy. © 2016. 11 pages.
Several tasks under human activities need to be performed in a sequence of navigation and manipulation of objects. In several applications of human activities like robotics...
Recent Trends in Spatial Data Mining and Its Challenges
Anuradha Jagadeesan, Prathik A, Tripathy B K. © 2016. 18 pages.
With tremendous development in the field of science and technology, there is vast amount of data which are used in analytics for decision making. Considering its spatial...
Rough Fuzzy Set Theory and Neighbourhood Approximation Based Modelling for Spatial Epidemiology
Balakrushna Tripathy, Sharmila Banu K.. © 2016. 11 pages.
Modern epidemiological studies involve understanding individual and social level inferences and their role in the transmission and distribution of disease instances. The...
Application of Rough Set Based Models in Medical Diagnosis
Balakrushna Tripathy. © 2016. 25 pages.
Modeling intelligent system in the field of medical diagnosis is still a challenging work. Intelligent systems in medical diagnosis can be utilized as a supporting tool to the...
Application of Uncertainty Models in Bioinformatics
B.K. Tripathy, R.K. Mohanty, Sooraj T.R.. © 2016. 14 pages.
This chapter provides the information related to the researches enhanced using uncertainty models in life sciences and biomedical Informatics. The main emphasis of this chapter...
Rough Set Based Green Cloud Computing in Emerging Markets
P.S. Shivalkar, B.K. Tripathy. © 2015. 10 pages.
Cloud computing represents a paradigm shift and it can be applied to a wide range of areas, including e-commerce, health, education, communities, etc which are emerging as the...
An Uncertainty-Based Model for Optimized Multi-Label Classification
J. Anuradha, B. K. Tripathy. © 2015. 34 pages.
The data used in the real world applications are uncertain and vague. Several models to handle such data efficiently have been put forth so far. It has been found that the...
Image Enhancement Techniques Using Particle Swarm Optimization Technique
V. Santhi, B. K. Tripathy. © 2015. 21 pages.
The image quality enhancement process is considered as one of the basic requirement for high-level image processing techniques that demand good quality in images. High-level...
Genome Sequence Analysis in Distributed Computing using Spark
Sagar Ap., Pooja Mehta, Anuradha J., B.K. Tripathy. © 2015. 13 pages.
Integration of Computer Science with Bio Science has led to new field Computational Biology which created an opportunity in speeding up the process of analyzing the Bio-data. DNA...
Global Trends in Intelligent Computing Research and Development
B.K. Tripathy, D. P. Acharjya. © 2014. 601 pages.
As the amount of accumulated data across a variety of fields becomes harder to maintain, it is essential for a new generation of computational theories and tools to assist humans...
Advances in Secure Computing, Internet Services, and Applications
B.K. Tripathy, D. P. Acharjya. © 2014. 405 pages.
Technological advancements have extracted a vast amount of useful knowledge and information for applications and services. These developments have evoked intelligent solutions...
Rough Sets and Approximate Reasoning
B. K. Tripathy. © 2014. 49 pages.
Several models have been introduced to capture impreciseness in data. Fuzzy sets introduced by Zadeh and Rough sets introduced by Pawlak are two of the most popular such models....
Application of Functional Approach to Lists for Development of Relational Model Databases and Petri Net Analysis
Sasanko Sekhar Gantayat, B. K. Tripathy. © 2014. 38 pages.
The concept of list is very important in functional programming and data structures in computer science. The classical definition of lists was redefined by Jena, Tripathy, and...
Multi-Granular Computing through Rough Sets
B. K. Tripathy. © 2014. 34 pages.
Granular Computing has emerged as a framework in which information granules are represented and manipulated by intelligent systems. Granular Computing forms a unified conceptual...
Graph Based Segmentation of Digital Images
B.K. Tripathy, P.V.S.S.R. Chandra Mouli. © 2013. 18 pages.
Image Segmentation is the process of dividing an image into semantically relevant regions. The problem is still an active area due to wide applications in object detection and...
Data Clustering Algorithms Using Rough Sets
B.K. Tripathy, Adhir Ghosh. © 2013. 31 pages.
Developing Data Clustering algorithms have been pursued by researchers since the introduction of k-means algorithm (Macqueen 1967; Lloyd 1982). These algorithms were subsequently...
Database Anonymization Techniques with Focus on Uncertainty and Multi-Sensitive Attributes
B. K. Tripathy. © 2013. 20 pages.
Publication of Data owned by various organizations for scientific research has the danger of sensitive information of respondents being disclosed. The policy of removal or...