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P Krishnan

Showing results (111-120 of 256) with videos related to

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Scientific Reports|February 5, 2025
Optimizing chickpea yield prediction under wilt disease through synergistic integration of biophysical and image parameters using machine learning modelsR N Singh, P Krishnan, C Bharadwaj, et al.
World Journal of Microbiology & Biotechnology|July 13, 2021
Bacterial community structure and functional profiling of high Arctic fjord sedimentsS Vishnupriya, T Jabir, K P Krishnan, et al.
The Journal of Arthroplasty|April 22, 2006
Common misconceptions of normal hip joint relations on pelvic radiographsShibu P Krishnan, R W J Carrington, Syed Mohiyaddin, et al.
Indian Journal of Biochemistry & Biophysics|July 27, 2010
Characterization of seeds of selected wild species of rice (Oryza) stored under high temperature and humidity conditionsSmruti Das, Monalisa Nayak, B C Patra, et al.
Indian Journal of Microbiology|February 3, 2017
Spatio-Temporal Monitoring and Ecological Significance of Retrievable Pelagic Heterotrophic Bacteria in Kongsfjorden, an Arctic FjordRupesh Kumar Sinha, K P Krishnan, Savita Kerkar, et al.
Journal of Clinical Immunology|January 24, 2020
X-Linked Hyper IgM Syndrome Presenting with Recurrent Tuberculosis-a Case ReportV P Krishnan, Prasad Taur, Ambreen Pandrowala, et al.
Data in Brief|December 25, 2018
Metagenomic data of fungal community in Kongsfjorden, Arctic using Illumina next generation sequencingFarha Arakkaveettil Kabeer, T Jabir, K P Krishnan, et al.
AJNR. American Journal of Neuroradiology|December 7, 2019
Acute Cortical Lesions in MELAS Syndrome: Anatomic Distribution, Symmetry, and EvolutionK D Bhatia, P Krishnan, H Kortman, et al.
Polymers|June 24, 2022
Design, Synthesis and Characterization of Vitrimers with Low Topology Freezing Transition TemperatureBaiju P Krishnan, Kay Saalwaechter, Vico K B Adjedje, et al.
Scientific Reports|November 2, 2023
Combining biophysical parameters with thermal and RGB indices using machine learning models for predicting yield in yellow rust affected wheat cropR N Singh, P Krishnan, Vaibhav K Singh, et al.
Pageof 26

Showing results (111-120 of 256) with videos related to

Sort By:
Pageof 26
Scientific Reports|February 5, 2025
Optimizing chickpea yield prediction under wilt disease through synergistic integration of biophysical and image parameters using machine learning modelsR N Singh, P Krishnan, C Bharadwaj, et al.
World Journal of Microbiology & Biotechnology|July 13, 2021
Bacterial community structure and functional profiling of high Arctic fjord sedimentsS Vishnupriya, T Jabir, K P Krishnan, et al.
The Journal of Arthroplasty|April 22, 2006
Common misconceptions of normal hip joint relations on pelvic radiographsShibu P Krishnan, R W J Carrington, Syed Mohiyaddin, et al.
Indian Journal of Biochemistry & Biophysics|July 27, 2010
Characterization of seeds of selected wild species of rice (Oryza) stored under high temperature and humidity conditionsSmruti Das, Monalisa Nayak, B C Patra, et al.
Indian Journal of Microbiology|February 3, 2017
Spatio-Temporal Monitoring and Ecological Significance of Retrievable Pelagic Heterotrophic Bacteria in Kongsfjorden, an Arctic FjordRupesh Kumar Sinha, K P Krishnan, Savita Kerkar, et al.
Journal of Clinical Immunology|January 24, 2020
X-Linked Hyper IgM Syndrome Presenting with Recurrent Tuberculosis-a Case ReportV P Krishnan, Prasad Taur, Ambreen Pandrowala, et al.
Data in Brief|December 25, 2018
Metagenomic data of fungal community in Kongsfjorden, Arctic using Illumina next generation sequencingFarha Arakkaveettil Kabeer, T Jabir, K P Krishnan, et al.
AJNR. American Journal of Neuroradiology|December 7, 2019
Acute Cortical Lesions in MELAS Syndrome: Anatomic Distribution, Symmetry, and EvolutionK D Bhatia, P Krishnan, H Kortman, et al.
Polymers|June 24, 2022
Design, Synthesis and Characterization of Vitrimers with Low Topology Freezing Transition TemperatureBaiju P Krishnan, Kay Saalwaechter, Vico K B Adjedje, et al.
Scientific Reports|November 2, 2023
Combining biophysical parameters with thermal and RGB indices using machine learning models for predicting yield in yellow rust affected wheat cropR N Singh, P Krishnan, Vaibhav K Singh, et al.
Pageof 26