Zobrazeno 1 - 10 of 32 pro vyhledávání: '"Payal Pahwa"'
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Akademický článek
Optimizing OLAP Cube for Supporting Business Intelligence and Forecasting in Banking Sector
Autor: Sonali Mathur, Shankar Lal Gupta, Payal Pahwa
Publikováno v: Journal of Information Technology Management, Vol 13, Iss 1, Pp 81-99 (2021)
The data stored in data warehouse is used for making strategic decisions by integrating heterogeneous data from multiple sources at a single storage place, where data is used for querying and analysis purposes. With the advancement in the technology,
Externí odkaz: https://doaj.org/article/3c9b6054a31c4c3fbd8256be31cacc09
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4
Enhancing Security in Banking Environment Using Business Intelligence
Autor: Payal Pahwa, Shankar Lal Gupta, Sonali Mathur
Publikováno v: International Journal of Information Retrieval Research. 10:21-34
Data warehouses are the most valuable assets of an organization and are basically used for critical business and decision-making purposes. Data from different sources is integrated into the data warehouse. Thus, security issues arise as data is moved
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ebbce435e85c4e678ac21d46505982f1
https://doi.org/10.4018/ijirr.2020100102
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5
Medical image retrieval for detecting pneumonia using binary classification with deep convolutional neural networks
Autor: Payal Pahwa, Aman Dureja
Publikováno v: Journal of Information and Optimization Sciences. 41:1419-1431
In the concepts of Deep Learning, the ConvNets are a classified group of deep neural networks that are used to analyze the images. They find their major applications in image classification and in ...
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::68dc197ae3be32323fcfe07e35b98dad
https://doi.org/10.1080/02522667.2020.1809096
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6
Evaluating performance of agglomerative clustering for extended NMF
Autor: Payal Pahwa, Neetika Bhandari
Publikováno v: Journal of Statistics and Management Systems. 23:1117-1128
World is full of data. Data is ubiquitous and massive. This data is in its raw form and is mined to extract advantageous information. Data is coming from various industries and may contain very sen...
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7488dd9ac34821a08dad945e2ef44c4b
https://doi.org/10.1080/09720510.2020.1799507
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10
Analysis of Non-Linear Activation Functions for Classification Tasks Using Convolutional Neural Networks
Autor: Aman Dureja, Payal Pahwa
Publikováno v: Recent Patents on Computer Science. 12:156-161
Background: In making the deep neural network, activation functions play an important role. But the choice of activation functions also affects the network in term of optimization and to retrieve the better results. Several activation functions have
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ac3bf3aba62b4c8e1128ed707dd4db05
https://doi.org/10.2174/2213275911666181025143029
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