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Suranjan Panigrahi
Suranjan Panigrahi
Verified email at purdue.edu
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Cited by
Cited by
Year
Timing of surgery following SARS‐CoV‐2 infection: an international prospective cohort study
H Gacaferi, GS Collaborative, COVIDSurg Collaborative
Anaesthesia 76 (6), 2021
531*2021
Application of vegetation indices for agricultural crop yield prediction using neural network techniques
SS Panda, DP Ames, S Panigrahi
Remote sensing 2 (3), 673-696, 2010
4382010
Solid-phase microextraction (SPME) techniques for quality characterization of food products: a review
S Balasubramanian, S Panigrahi
Food and Bioprocess Technology 4, 1-26, 2011
2372011
Biology and applications of olfactory sensing system: A review
S Sankaran, LR Khot, S Panigrahi
Sensors and Actuators B: Chemical 171, 1-17, 2012
1732012
Neural-network-integrated electronic nose system for identification of spoiled beef
S Panigrahi, S Balasubramanian, H Gu, C Logue, M Marchello
LWT-Food Science and Technology 39 (2), 135-145, 2006
1642006
Odorant binding protein based biomimetic sensors for detection of alcohols associated with Salmonella contamination in packaged beef
S Sankaran, S Panigrahi, S Mallik
Biosensors and Bioelectronics 26 (7), 3103-3109, 2011
1252011
Design and development of a metal oxide based electronic nose for spoilage classification of beef
S Panigrahi, S Balasubramanian, H Gu, CM Logue, M Marchello
Sensors and Actuators B: Chemical 119 (1), 2-14, 2006
1232006
Neural networks-integrated metal oxide-based artificial olfactory system for meat spoilage identification
S Balasubramanian, S Panigrahi, CM Logue, H Gu, M Marchello
Journal of Food Engineering 91 (1), 91-98, 2009
1142009
A generalized regression neural network and its application for leaf wetness prediction to forecast plant disease
Y Chtioui, S Panigrahi, L Francl
Chemometrics and Intelligent Laboratory Systems 48 (1), 47-58, 1999
1111999
Artificial neural network models of wheat leaf wetness
LJ Francl, S Panigrahi
Agricultural and forest meteorology 88 (1-4), 57-65, 1997
1091997
Olfactory receptor based piezoelectric biosensors for detection of alcohols related to food safety applications
S Sankaran, S Panigrahi, S Mallik
Sensors and Actuators B: Chemical 155 (1), 8-18, 2011
1062011
Independent component analysis-processed electronic nose data for predicting Salmonella typhimurium populations in contaminated beef
S Balasubramanian, S Panigrahi, CM Logue, C Doetkott, M Marchello, ...
Food Control 19 (3), 236-246, 2008
1042008
SARS-CoV-2 infection and venous thromboembolism after surgery: an international prospective cohort study.
C COVIDSurg, C GlobalSurg
Anaesthesia 77 (1), 28-39, 2022
982022
Evaluation of an artificial olfactory system for grain quality discrimination
S Balasubramanian, S Panigrahi, B Kottapalli, CE Wolf-Hall
LWT-Food Science and Technology 40 (10), 1815-1825, 2007
942007
Development and evaluation of piezoelectric-polymer thin film sensors for low concentration detection of volatile organic compounds related to food safety applications
LR Khot, S Panigrahi, D Lin
Sensors and Actuators B: Chemical 153 (1), 1-10, 2011
882011
Spoilage identification of beef using an electronic nose system
S Balasubramanian, S Panigrahi, CM Logue, M Marchello, C Doetkott, ...
Transactions of the ASAE 47 (5), 1625-1633, 2004
762004
Characterization of endophytic bacteria Enterobacter cloacae MG00145 isolated from Ocimum sanctum with Indole Acetic Acid (IAA) production and plant growth promoting …
S Panigrahi, S Mohanty, CC Rath
South African Journal of Botany 134, 17-26, 2020
682020
Background segmentation and dimensional measurement of corn germplasm
S Panigrahi, MK Misra, C Bern, S Marley
Transactions of the ASAE 38 (1), 291-297, 1995
631995
Multispectral and color imaging techniques for nitrate and chlorophyll determination of potato leaves in a controlled environment
MS Borhan, S Panigrahi, JH Lorenzen, H Gu
Transactions of the ASAE 47 (2), 599-608, 2004
592004
IDENTIFICATION OF SALMONELLA‐INOCULATED BEEF USING A PORTABLE ELECTRONIC NOSE SYSTEM
S Balasubramanian, S Panigrahi, CM Logue, M Marchello, JS Sherwood
Journal of Rapid Methods & Automation in Microbiology 13 (2), 71-95, 2005
542005
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