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G Ambika

Showing results (11-20 of 23) with videos related to

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Chaos (Woodbury, N.Y.)|November 30, 2019
Classification of close binary stars using recurrence networksSandip V George, R Misra, G Ambika
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|December 21, 2011
General mechanism for amplitude death in coupled systemsV Resmi, G Ambika, R E Amritkar
Chaos (Woodbury, N.Y.)|April 24, 2024
Machine learning approach to detect dynamical states from recurrence measuresDheeraja Thakur, Athul Mohan, G Ambika, et al.
The Journal of Clinical Pediatric Dentistry|June 18, 2011
Oral health status of normal children and those affiliated with cardiac diseasesG Suma, Mohan Das Usha, G Ambika, et al.
European Archives of Paediatric Dentistry : Official Journal of the European Academy of Paediatric Dentistry|October 14, 2011
Comparative evaluation of chlorhexidine mouthrinse versus cacao bean husk extract mouthrinse as antimicrobial agents in childrenN S Venkatesh Babu, D K Vivek, G Ambika
Royal Society Open Science|March 11, 2017
Measure for degree heterogeneity in complex networks and its application to recurrence network analysisRinku Jacob, K P Harikrishnan, R Misra, et al.
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|June 12, 2012
Amplitude death in complex networks induced by environmentV Resmi, G Ambika, R E Amritkar, et al.
Physical Review. E|February 13, 2016
Uniform framework for the recurrence-network analysis of chaotic time seriesRinku Jacob, K P Harikrishnan, R Misra, et al.
Scientific Reports|November 11, 2017
Detecting abnormality in heart dynamics from multifractal analysis of ECG signalsSnehal M Shekatkar, Yamini Kotriwar, K P Harikrishnan, et al.
Chaos (Woodbury, N.Y.)|January 12, 2010
Computing the multifractal spectrum from time series: an algorithmic approachK P Harikrishnan, R Misra, G Ambika, et al.
Pageof 3

Showing results (11-20 of 23) with videos related to

Sort By:
Pageof 3
Chaos (Woodbury, N.Y.)|November 30, 2019
Classification of close binary stars using recurrence networksSandip V George, R Misra, G Ambika
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|December 21, 2011
General mechanism for amplitude death in coupled systemsV Resmi, G Ambika, R E Amritkar
Chaos (Woodbury, N.Y.)|April 24, 2024
Machine learning approach to detect dynamical states from recurrence measuresDheeraja Thakur, Athul Mohan, G Ambika, et al.
The Journal of Clinical Pediatric Dentistry|June 18, 2011
Oral health status of normal children and those affiliated with cardiac diseasesG Suma, Mohan Das Usha, G Ambika, et al.
European Archives of Paediatric Dentistry : Official Journal of the European Academy of Paediatric Dentistry|October 14, 2011
Comparative evaluation of chlorhexidine mouthrinse versus cacao bean husk extract mouthrinse as antimicrobial agents in childrenN S Venkatesh Babu, D K Vivek, G Ambika
Royal Society Open Science|March 11, 2017
Measure for degree heterogeneity in complex networks and its application to recurrence network analysisRinku Jacob, K P Harikrishnan, R Misra, et al.
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|June 12, 2012
Amplitude death in complex networks induced by environmentV Resmi, G Ambika, R E Amritkar, et al.
Physical Review. E|February 13, 2016
Uniform framework for the recurrence-network analysis of chaotic time seriesRinku Jacob, K P Harikrishnan, R Misra, et al.
Scientific Reports|November 11, 2017
Detecting abnormality in heart dynamics from multifractal analysis of ECG signalsSnehal M Shekatkar, Yamini Kotriwar, K P Harikrishnan, et al.
Chaos (Woodbury, N.Y.)|January 12, 2010
Computing the multifractal spectrum from time series: an algorithmic approachK P Harikrishnan, R Misra, G Ambika, et al.
Pageof 3