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Adrijit Goswami

Researcher at Indian Institute of Technology Kharagpur

Publications -  126
Citations -  3923

Adrijit Goswami is an academic researcher from Indian Institute of Technology Kharagpur. The author has contributed to research in topics: Fuzzy logic & Economic order quantity. The author has an hindex of 32, co-authored 119 publications receiving 3319 citations. Previous affiliations of Adrijit Goswami include International Institute of Information Technology & Indian Institutes of Technology.

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A two-warehouse inventory model with increasing demand and time varying deterioration

TL;DR: An inventory model of two-warehouse is considered with quadratically increasing demand and time varying deterioration, derived with finite replenishment rate and unequal length of the cycle time.
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The big data system, components, tools, and technologies: a survey

TL;DR: This paper aims to present a generalized view of complete big data system which includes several stages and key components of each stage in processing the big data, and systematically investigates big data tools and technologies including distributed/cloud-based stream processing tools in a comparative approach.
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SEAP: Secure and efficient authentication protocol for NFC applications using pseudonyms

TL;DR: The proposed secure and efficient authentication protocol (SEAP) for NFC applications using lifetime-based pseudonyms is proposed and simulated for the formal security verification using the widely-accepted AVISPA tool and results show that SEAP is secure.
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An efficient approach for mining association rules from high utility itemsets

TL;DR: The algorithms to generate the utility based non-redundant association rules and methods for reconstructing all association rules are proposed and the algorithms which generate high utility itemsets (HUI) and high utility closed itemsets with their generators are described.
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An EOQ model for deteriorating items under trade credit financing in the fuzzy sense

TL;DR: In this paper, the problem of determining the economic order quantity (EOQ) for deteriorating items in the fuzzy sense where delay in payments for retailer and customer are permissible and generalizes the earlier published results in this direction.