Hasil Pencarian - Prashant Kumar Srivastava

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  1. 1
    Identification of malachite and alteration minerals using airborne AVIRIS-NG hyperspectral data

    Identification of malachite and alteration minerals using airborne AVIRIS-NG hyperspectral data oleh Gaurav Mishra, Himanshu Govil, Prashant Kumar Srivastava

    Diterbitkan 2021-10-01
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  2. 2
    Elucidating B4GALNT1 as potential biomarker in hepatocellular carcinoma using machine learning models and mutational dynamics explored through MD simulation

    Elucidating B4GALNT1 as potential biomarker in hepatocellular carcinoma using machine learning models and mutational dynamics explored through MD simulation oleh Rohit Kumar Verma, Kiran Bharat Lokhande, Prashant Kumar Srivastava, Ashutosh Singh

    Diterbitkan 2024-01-01
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  3. 3
    Future projections of crop water and irrigation water requirements using a bias-corrected regional climate model coupled with CROPWAT

    Future projections of crop water and irrigation water requirements using a bias-corrected regional climate model coupled with CROPWAT oleh Abhishek Agrawal, Prashant Kumar Srivastava, Vinod Kumar Tripathi, Swati Maurya, Reema Sharma, Shrinivasa D. J.

    Diterbitkan 2023-04-01
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  4. 4
    Satellite Based Fraction of Absorbed Photosynthetically Active Radiation Is Congruent with Plant Diversity in India

    Satellite Based Fraction of Absorbed Photosynthetically Active Radiation Is Congruent with Plant Diversity in India oleh Swapna Mahanand, Mukunda Dev Behera, Partha Sarathi Roy, Priyankar Kumar, Saroj Kanta Barik, Prashant Kumar Srivastava

    Diterbitkan 2021-01-01
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  5. 5
    Mapping plant functional types through phenological insights: a novel approach

    Mapping plant functional types through phenological insights: a novel approach oleh Agradeep Mohanta, Sandhya Kiran Garge, PankajKumar C. Prajapati, Shrishti Rajput, Kavi Oza, Ramandeep Kaur M. Malhi, Prashant Kumar Srivastava, Sanjay Shitole

    Diterbitkan 2024-01-01
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  6. 6
    Short-Term Statistical Forecasts of COVID-19 Infections in India

    Short-Term Statistical Forecasts of COVID-19 Infections in India oleh Ram Kumar Singh, Martin Drews, Manuel De La Sen, Manoj Kumar, Sati Shankar Singh, Ajai Kumar Pandey, Prashant Kumar Srivastava, Manmohan Dobriyal, Meenu Rani, Preeti Kumari, Pavan Kumar

    Diterbitkan 2020-01-01
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  7. 7
    Shifting cultivation induced burn area dynamics using ensemble approach in Northeast India

    Shifting cultivation induced burn area dynamics using ensemble approach in Northeast India oleh Pulakesh Das, Mukunda Dev Behera, Saroj Kanta Barik, Sujoy Mudi, Buddolla Jagadish, Swarup Sarkar, Santa Ram Joshi, Dibyendu Adhikari, Soumit Kumar Behera, Kiranmay Sarma, Prashant Kumar Srivastava, Puneet Singh Chauhan

    Diterbitkan 2022-03-01
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  8. 8
    Highlighting the compound risk of COVID-19 and environmental pollutants using geospatial technology

    Highlighting the compound risk of COVID-19 and environmental pollutants using geospatial technology oleh Ram Kumar Singh, Martin Drews, Manuel De la Sen, Prashant Kumar Srivastava, Bambang H. Trisasongko, Manoj Kumar, Manish Kumar Pandey, Akash Anand, S. S. Singh, A. K. Pandey, Manmohan Dobriyal, Meenu Rani, Pavan Kumar

    Diterbitkan 2021-04-01
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  9. 9
    HCG18, LEF1AS1 and lncCEACAM21 as biomarkers of disease severity in the peripheral blood mononuclear cells of COVID-19 patients

    HCG18, LEF1AS1 and lncCEACAM21 as biomarkers of disease severity in the peripheral blood mononuclear cells of COVID-19 patients oleh Simona Greco, Alisia Made’, Martina Mutoli, Lu Zhang, Santiago Nicolas Piella, Mélanie Vausort, Andrew I. Lumley, Antonio Paolo Beltrami, Prashant Kumar Srivastava, Valentina Milani, Sara Boveri, Marco Ranucci, Laura Valentina Renna, Hüseyin Firat, Antonino Bruno, Gaia Spinetti, Costanza Emanueli, Yvan Devaux, Fabio Martelli

    Diterbitkan 2023-10-01
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  10. 10
    Development of a long noncoding RNA-based machine learning model to predict COVID-19 in-hospital mortality

    Development of a long noncoding RNA-based machine learning model to predict COVID-19 in-hospital mortality oleh Yvan Devaux, Lu Zhang, Andrew I. Lumley, Kanita Karaduzovic-Hadziabdic, Vincent Mooser, Simon Rousseau, Muhammad Shoaib, Venkata Satagopam, Muhamed Adilovic, Prashant Kumar Srivastava, Costanza Emanueli, Fabio Martelli, Simona Greco, Lina Badimon, Teresa Padro, Mitja Lustrek, Markus Scholz, Maciej Rosolowski, Marko Jordan, Timo Brandenburger, Bettina Benczik, Bence Agg, Peter Ferdinandy, Jörg Janne Vehreschild, Bettina Lorenz-Depiereux, Marcus Dörr, Oliver Witzke, Gabriel Sanchez, Seval Kul, Andy H. Baker, Guy Fagherazzi, Markus Ollert, Ryan Wereski, Nicholas L. Mills, Hüseyin Firat

    Diterbitkan 2024-05-01
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