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Showing 9 out of a total of 9 results.
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Improving hemoglobin estimation accuracy through standardizing of light-emitting diode power
Pinto, C.F.
;
Parab, J.S.
;
Sequeira, M.
;
Naik, G.M.
(
Institute of Advanced Engineering and Science (IAES)
,
2022
)
Convolutional Neural Networks based classifications of soil images
Lanjewar, M.
;
Gurav, O.L.
(
Springer
,
2022
)
Detection of tartrazine colored rice flour adulteration in turmeric from multi-spectral images on smartphone using convolutional neural network deployed on PaaS cloud
Lanjewar, M.
;
Parab, J.S.
;
Morajkar, P.P.
(
Springer
,
2022
)
Sensor fusion in human blood pressure measurements using oscillometric and auscultatory principles: Error analysis and implementation
Tavares, N.
;
Vetrekar, N.T.
;
Gad, R.S.
;
Kakodkar, U.
(
Elsevier
,
2022
)
Cloud-based COVID-19 disease prediction system from X-Ray images using convolutional neural network on smartphone
Lanjewar, M.
;
Shaikh, A.Y.
;
Parab, J.S.
(
Springer
,
2022
)
Development of framework by combining CNN with KNN to detect Alzheimer's disease using MRI images
Lanjewar, M.
;
Parab, J.S.
;
Shaikh, A.Y.
(
Springer
,
2022
)
Data reduction and recovery in wireless communication system: An extensive experimental evaluation using PSK and QAM modulations
Panem, C.
;
Vetrekar, N.T.
;
Gad, R.S.
(
Wiley
,
2022
)
Collaborative representation of convolutional neural network features to detect artificial ripening of banana using multispectral imaging
Vetrekar, N.T.
;
Prabhu, A.K.
;
Naik, A.
;
Ramachandra, R.
;
Raja, K.B.
;
Desai, A.R.
;
Gad, R.S.
(
Wiley
,
2022
)
CNN with machine learning approaches using ExtraTreesClassifier and MRMR feature selection techniques to detect liver diseases on cloud
Lanjewar, M.
;
Parab, J.S.
;
Shaikh, A.Y.
;
Sequeira, M.
(
Springer
,
2022
)
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Lanjewar, M. (5)
Parab, J.S. (5)
Gad, R.S. (3)
Shaikh, A.Y. (3)
Vetrekar, N.T. (3)
Sequeira, M. (2)
Desai, A.R. (1)
Gurav, O.L. (1)
Kakodkar, U. (1)
Morajkar, P.P. (1)
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Electronics (9)
Chemistry (1)
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2022 (9)
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