Search Results - "Tripathy, B. K"
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1
Cancer Detection and Prediction Using Genetic Algorithms
Published in Computational intelligence and neuroscience (16-05-2022)“…Cancer is a wide category of diseases that is caused by the abnormal, uncontrollable growth of cells, and it is the second leading cause of death globally…”
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2
Harris Hawk Optimization: A Survey onVariants and Applications
Published in Computational intelligence and neuroscience (27-06-2022)“…In this review, we intend to present a complete literature survey on the conception and variants of the recent successful optimization algorithm, Harris Hawk…”
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3
Performance Prediction and Interpretation of a Refuse Plastic Fuel Fired Boiler
Published in IEEE access (2020)“…In order to cater to the energy requirement in the form of steam at a reasonable cost, the process industries are relying on the waste incineration plants by…”
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4
Affinity-based learning object retrieval in an e-learning environment using evolutionary learner profile
Published in Knowledge management & e-learning (01-03-2016)“…With the abundance of learning objects (LOs) available across the web, there arises a demand for retrieving the LOs that exactly suit the learners’…”
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A Comparative Analysis of Depth Computation of Leukaemia Images using a Refined Bit Plane and Uncertainty Based Clustering Techniques
Published in Cybernetics and information technologies : CIT (01-01-2015)“…Several image segmentation techniques have been developed over the years to analyze the characteristics of images. Among these, the uncertainty based…”
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Architecture for distributed query processing using the RDF data in cloud environment
Published in Evolutionary intelligence (01-06-2021)“…From past decade, the advancement in the field of RDF data management poses many challenges to researchers. Processing large volumes of RDF data is very…”
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An improved monarch butterfly optimization based multivariate fuzzy time series approach for forecasting GDP of India
Published in Evolutionary intelligence (01-04-2023)“…Gross Domestic Product (GDP) is a crucial indicator to evaluate national economic development of a nation and the status of the macro-economy of a country. In…”
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Ethno-Medico-Biology of Bhadrak district, Odisha, India
Published in Journal of forestry research (01-03-2013)“…We carried out an ethno-medico-biological investigation in the interior of Bhadrak district, Odisha, India to explore the therapeutic use of traditional…”
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9
Alpha-anonymization techniques for privacy preservation in social networks
Published in Social network analysis and mining (01-12-2016)“…Rapid growth and development of social networks has attracted the interest of the scientific community to utilize these huge datasets for research purpose…”
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On the theory of bags and lists
Published in Information sciences (01-02-2001)“…In this paper the concept of bag space has been introduced. The concept of bag complement is redefined suitably and some theorems involving bag operations have…”
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11
Some more properties of lists and fuzzy lists
Published in Information sciences (29-10-2004)“…In this article we introduce the map operator on a list, define list indexing the cons operator and establish their properties. Parallel notions and properties…”
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Intelligent Technique for Signal Processing to Identify the Brain Disorder for Epilepsy Captures Using Fuzzy Systems
Published in MATEC Web of Conferences (01-01-2016)“…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…”
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Journal Article Conference Proceeding -
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On demand analysis of learning experiences for adaptive content retrieval in an e-learning environment
Published in Je-LKS (01-01-2015)“…Understanding the learning experiences plays a vital role in identifying the suitable learning content for the learners. In this regard, the standards like the…”
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14
Optimization of seed selection for higher product using interval valued hesitant fuzzy soft sets
Published in Wārasān Songkhlā Nakharin (01-10-2018)“…Nowadays, seed selection is one of the main problems faced by farmers and research into agriculture because of the uncertainties in various factors, such as…”
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Hadoop based uncertain possibilistic kernelized c-means algorithms for image segmentation and a comparative analysis
Published in Applied soft computing (01-09-2016)“…Over the years data clustering algorithms have been used for image segmentation. Due to the presence of uncertainty in real life datasets, several uncertainty…”
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Efficiency analysis of kernel functions in uncertainty based c-means algorithms
Published in 2015 International Conference on Advances in Computing, Communications and Informatics (ICACCI) (01-08-2015)“…Application of clustering algorithms for investigating real life data has concerned many researchers and vague approaches or their hybridization with other…”
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Conference Proceeding -
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A decision theoretic rough fuzzy c-means algorithm
Published in 2015 IEEE International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN) (01-11-2015)“…Imprecision based data clustering algorithms have gained a lot of importance these days because of the imprecise character of modern day databases. Some such…”
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Conference Proceeding -
18
Privacy preservation in social networks through alpha - Anonymization techniques
Published in 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) (25-08-2015)“…We propose an (a, k) anonymity model based on the eigenvector centrality value of the nodes present in the raw graph and further extend it to propose (a, l)…”
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Conference Proceeding -
19
On some properties of lists and fuzzy lists
Published in Information sciences (03-12-2004)“…The notion of list was redefined [Int. Sci. 132 (1–4) (2001) 241] very recently and some of their properties were studied. In the present paper we continue…”
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On Covering Based Pessimistic Multigranular Rough Sets
Published in 2014 International Conference on Computational Intelligence and Communication Networks (01-11-2014)“…Rough sets were introduced by Pawlak as a model to capture impreciseness in data and several techniques in different directions have been developed to perform…”
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Conference Proceeding