Year |
Citation |
Score |
2015 |
Mohapatra P, Panigrahi S, Amamcharla J. Evaluation of a commercial electronic nose system coupled with universal gas sensing chamber for sensing indicator compounds associated with meat safety Journal of Food Measurement and Characterization. 9: 121-129. DOI: 10.1007/S11694-014-9200-9 |
0.781 |
|
2012 |
Panigrahi S, Sankaran S, Mallik S, Gaddam B, Hanson AA. Olfactory receptor-based polypeptide sensor for acetic acid VOC detection. Materials Science & Engineering. C, Materials For Biological Applications. 32: 1307-13. PMID 24364927 DOI: 10.1016/J.Msec.2011.11.003 |
0.71 |
|
2012 |
Sankaran S, Panigrahi S. Development and evaluation of ZnO-Fe2O3 based nanocomposite sensors for butanol detection. Journal of Nanoscience and Nanotechnology. 12: 2346-52. PMID 22755057 DOI: 10.1166/Jnn.2012.5747 |
0.7 |
|
2012 |
Mohapatra P, Panigrahi S. Evaluation of Surface Enhanced Raman Spectroscopy (SERS) for Detection of Acetone in the Context of Food Safety and Quality Application Journal of Food Research. 1: 3. DOI: 10.5539/Jfr.V1N1P3 |
0.534 |
|
2012 |
Sankaran S, Panigrahi S. Development and evaluation of ZnO-Fe 2O 3 based nanocomposite sensors for butanol detection Journal of Nanoscience and Nanotechnology. 12: 2346-2352. DOI: 10.1166/jnn.2012.5747 |
0.63 |
|
2012 |
Sankaran S, Khot LR, Panigrahi S. Biology and applications of olfactory sensing system: A review Sensors and Actuators, B: Chemical. 171: 1-17. DOI: 10.1016/J.Snb.2012.03.029 |
0.758 |
|
2012 |
Khot LR, Panigrahi S, Doetkott C, Chang Y, Glower J, Amamcharla J, Logue C, Sherwood J. Evaluation of technique to overcome small dataset problems during neural-network based contamination classification of packaged beef using integrated olfactory sensor system Lwt - Food Science and Technology. 45: 233-240. DOI: 10.1016/J.Lwt.2011.06.011 |
0.783 |
|
2012 |
Balasubramanian S, Amamcharla J, Panigrahi S, Logue CM, Marchello M, Sherwood JS. Investigation of Different Gas Sensor-Based Artificial Olfactory Systems for Screening Salmonella typhimurium Contamination in Beef Food and Bioprocess Technology. 5: 1206-1219. DOI: 10.1007/S11947-010-0444-Z |
0.785 |
|
2011 |
Sankaran S, Panigrahi S, Mallik S. Odorant binding protein based biomimetic sensors for detection of alcohols associated with Salmonella contamination in packaged beef. Biosensors & Bioelectronics. 26: 3103-9. PMID 21227678 DOI: 10.1016/J.Bios.2010.07.122 |
0.689 |
|
2011 |
Sankaran S, Panigrahi S. Nanoparticulate zinc oxide chemoresistive sensor for volatile acetic acid detection Nanoscience and Nanotechnology Letters. 3: 755-762. DOI: 10.1166/Nnl.2011.1259 |
0.711 |
|
2011 |
Sankaran S, Panigrahi S, Mallik S. Olfactory receptor based piezoelectric biosensors for detection of alcohols related to food safety applications Sensors and Actuators, B: Chemical. 155: 8-18. DOI: 10.1016/J.Snb.2010.08.003 |
0.694 |
|
2011 |
Khot LR, Panigrahi S, Lin D. Development and evaluation of piezoelectric-polymer thin film sensors for low concentration detection of volatile organic compounds related to food safety applications Sensors and Actuators B: Chemical. 153: 1-10. DOI: 10.1016/J.Snb.2010.05.043 |
0.699 |
|
2011 |
Gautam R, Panigrahi S, Franzen D, Sims A. Residual soil nitrate prediction from imagery and non-imagery information using neural network technique Biosystems Engineering. 110: 20-28. DOI: 10.1016/J.Biosystemseng.2011.06.002 |
0.338 |
|
2011 |
Balasubramanian S, Panigrahi S. Solid-Phase Microextraction (SPME) Techniques for Quality Characterization of Food Products: A Review Food and Bioprocess Technology. 4: 1-26. DOI: 10.1007/S11947-009-0299-3 |
0.7 |
|
2010 |
Panda SS, Ames DP, Panigrahi S. Application of Vegetation Indices for Agricultural Crop Yield Prediction Using Neural Network Techniques Remote Sensing. 2: 673-696. DOI: 10.3390/Rs2030673 |
0.588 |
|
2010 |
Panda SS, Panigrahi S, Ames DP. Crop Yield Forecasting from Remotely Sensed Aerial Images with Self-Organizing Maps Transactions of the Asabe. 53: 323-338. DOI: 10.13031/2013.29563 |
0.573 |
|
2010 |
Bhattacharjee P, Panigrahi S, Lin D, Logue CM, Sherwood JS, Doetkott C, Marchello M. Study of Headspace Gases Associated with Salmonella Contamination of Sterile Beef in Vials Using HS-SPME/GC-MS Transactions of the Asabe. 53: 173-181. DOI: 10.13031/2013.29484 |
0.368 |
|
2010 |
Amamcharla JK, Panigrahi S, Logue CM, Marchello M, Sherwood JS. Application of vapour-phase Fourier transform infrared spectroscopy (FTIR) and statistical feature selection methods for identifying Salmonella enterica typhimurium contamination in beef Biosystems Engineering. 107: 1-9. DOI: 10.1016/J.Biosystemseng.2010.03.005 |
0.408 |
|
2010 |
Khot LR, Panigrahi S, Sengupta P. Development and evaluation of chemoresistive polymer sensors for low concentration detection of volatile organic compounds related to food safety applications Sensing and Instrumentation For Food Quality and Safety. 4: 20-34. DOI: 10.1007/S11694-010-9093-1 |
0.712 |
|
2010 |
Amamcharla JK, Panigrahi S. Simultaneous prediction of acetic acid/ethanol concentrations in their binary mixtures using metalloporphyrin based opto-electronic nose for meat safety applications Sensing and Instrumentation For Food Quality and Safety. 4: 51-60. DOI: 10.1007/S11694-010-9092-2 |
0.387 |
|
2010 |
Amamcharla JK, Panigrahi S, Logue CM, Marchello M, Sherwood JS. Fourier transform infrared spectroscopy (FTIR) as a tool for discriminating Salmonella typhimurium contaminated beef Sensing and Instrumentation For Food Quality and Safety. 4: 1-12. DOI: 10.1007/S11694-009-9090-4 |
0.435 |
|
2009 |
Balasubramanian S, Panigrahi S, Logue C, Gu H, Marchello M. Neural networks-integrated metal oxide-based artificial olfactory system for meat spoilage identification Journal of Food Engineering. 91: 91-98. DOI: 10.1016/J.Jfoodeng.2008.08.008 |
0.745 |
|
2008 |
Balasubramanian S, Panigrahi S, Logue CM, Doetkott C, Marchello M, Sherwood JS. Independent component analysis-processed electronic nose data for predicting Salmonella typhimurium populations in contaminated beef Food Control. 19: 236-246. DOI: 10.1016/J.Foodcont.2007.03.007 |
0.755 |
|
2007 |
Balasubramanian S, Panigrahi S, Kottapalli B, Wolf-Hall C. Evaluation of an artificial olfactory system for grain quality discrimination Lwt - Food Science and Technology. 40: 1815-1825. DOI: 10.1016/J.Lwt.2006.12.016 |
0.746 |
|
2006 |
Panigrahi S, Balasubramanian S, Gu H, Logue C, Marchello M. Design and development of a metal oxide based electronic nose for spoilage classification of beef Sensors and Actuators B: Chemical. 119: 2-14. DOI: 10.1016/J.Snb.2005.03.120 |
0.783 |
|
2006 |
Panigrahi S, Balasubramanian S, Gu H, Logue C, Marchello M. Neural-network-integrated electronic nose system for identification of spoiled beef Lwt - Food Science and Technology. 39: 135-145. DOI: 10.1016/J.Lwt.2005.01.002 |
0.752 |
|
2006 |
Gautam R, Panigrahi S, Franzen D. Neural Network Optimisation of Remotely Sensed Maize Leaf Nitrogen with a Genetic Algorithm and Linear Programming using Five Performance Parameters Biosystems Engineering. 95: 359-370. DOI: 10.1016/J.Biosystemseng.2006.07.007 |
0.337 |
|
2005 |
Balasubramanian S, Panigrahi S, Logue CM, Marchello M, Sherwood JS. Identification of Salmonella-inoculated beef using a portable electronic nose system Journal of Rapid Methods and Automation in Microbiology. 13: 71-95. DOI: 10.1111/J.1745-4581.2005.00011.X |
0.761 |
|
2004 |
Balasubramanian S, Panigrahi S, Logue CM, Marchello M, Doetkott C, Gu H, Sherwood JS, Nolan LK. Spoilage Identification Of Beef Using An Electronic Nose System Transactions of the Asabe. 47: 1625-1633. DOI: 10.13031/2013.17593 |
0.77 |
|
2004 |
Borhan MS, Panigrahi S, Lorenzen JH, Gu H. Multispectral And Color Imaging Techniques For Nitrate And Chlorophyll Determination Of Potato Leaves In A Controlled Environment Transactions of the Asabe. 47: 599-608. DOI: 10.13031/2013.16023 |
0.308 |
|
1999 |
Chtioui Y, Francl LJ, Panigrahi S. Moisture prediction from simple micrometeorological data. Phytopathology. 89: 668-672. PMID 18944679 DOI: 10.1094/Phyto.1999.89.8.668 |
0.372 |
|
1999 |
Chtioui Y, Panigrahi S, Backer LF. Rough Sets Theory As A Pattern Classification Tool For Quality Assessment Of Edible Beans Transactions of the Asabe. 42: 1145-1152. DOI: 10.13031/2013.20131 |
0.33 |
|
1999 |
Chtioui Y, Panigrahi S, Francl L. A generalized regression neural network and its application for leaf wetness prediction to forecast plant disease Chemometrics and Intelligent Laboratory Systems. 48: 47-58. DOI: 10.1016/S0169-7439(99)00006-4 |
0.348 |
|
1998 |
Chtioui Y, Panigrahi S, Marsh RA. Conjugate gradient and approximate Newton methods for an optimal probabilistic neural network for food color classification Optical Engineering. 37: 3015-3023. DOI: 10.1117/1.601972 |
0.339 |
|
1998 |
Panigrahi S, Misra MK, Willson S. Evaluations of fractal geometry and invariant moments for shape classification of corn germplasm Computers and Electronics in Agriculture. 20: 1-20. DOI: 10.1016/S0168-1699(98)00004-0 |
0.374 |
|
1997 |
Francl LJ, Panigrahi S. Artificial neural network models of wheat leaf wetness Agricultural and Forest Meteorology. 88: 57-65. DOI: 10.1016/S0168-1923(97)00051-8 |
0.38 |
|
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