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98 results on '"Prabhat Kumar"'

3. Influence of Nanomaterials on Physiology and Antioxidant Defense Activities in Plants Under Abiotic Stress Conditions

Author

Mir, Bilal Ahmad, Kumari, Ritu, Firdoos, Assima, Taziun, Tuba, Aymen, Ummey, Khan, Marya, Raju, Aman Deep, Singh, Rachana, Prasad, Sheo Mohan, Singh, Richa, Wani, Shabir Hussain, Parihar, Parul, Srivastava, Prabhat Kumar, Rakhra, Gurmeen, Guliya, Shefali, Al-Khayri, Jameel M., Series Editor, Jain, S. Mohan, Series Editor, Al-Khayri, Jameel, editor, Alnaddaf, Lina M., editor, Jain, Shri Mohan, editor, and Penna, Suprasanna, editor

Published
2024
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7. Fault-Tolerant Dispersion of Mobile Robots

Author

Chand, Prabhat Kumar, Kumar, Manish, Molla, Anisur Rahaman, Sivasubramaniam, Sumathi, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Bagchi, Amitabha, editor, and Muthu, Rahul, editor

Published
2023
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12. Can a Machine Generate a Meta-Review? How Far Are We?

Author

Bharti, Prabhat Kumar, Kumar, Asheesh, Ghosal, Tirthankar, Agrawal, Mayank, Ekbal, Asif, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Sojka, Petr, editor, Horák, Aleš, editor, Kopeček, Ivan, editor, and Pala, Karel, editor

Published
2022
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13. BetterPR: A Dataset for Estimating the Constructiveness of Peer Review Comments

Author

Bharti, Prabhat Kumar, Ghosal, Tirthankar, Agarwal, Mayank, Ekbal, Asif, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Silvello, Gianmaria, editor, Corcho, Oscar, editor, Manghi, Paolo, editor, Di Nunzio, Giorgio Maria, editor, Golub, Koraljka, editor, Ferro, Nicola, editor, and Poggi, Antonella, editor

Published
2022
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14. How Confident Was Your Reviewer? Estimating Reviewer Confidence from Peer Review Texts

Author

Bharti, Prabhat Kumar, Ghosal, Tirthankar, Agrawal, Mayank, Ekbal, Asif, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Uchida, Seiichi, editor, Barney, Elisa, editor, and Eglin, Véronique, editor

Published
2022
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15. PEERAssist: Leveraging on Paper-Review Interactions to Predict Peer Review Decisions

Author

Bharti, Prabhat Kumar, Ranjan, Shashi, Ghosal, Tirthankar, Agrawal, Mayank, Ekbal, Asif, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Ke, Hao-Ren, editor, Lee, Chei Sian, editor, and Sugiyama, Kazunari, editor

Published
2021
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27. Correction to: How Confident Was Your Reviewer? Estimating Reviewer Confidence from Peer Review Texts

Author

Bharti, Prabhat Kumar, Ghosal, Tirthankar, Agrawal, Mayank, Ekbal, Asif, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Uchida, Seiichi, editor, Barney, Elisa, editor, and Eglin, Véronique, editor

Published
2022
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32. Network Virtualization Technologies and Techniques

Author

Wen, Heming, Tiwary, Prabhat Kumar, Le-Ngoc, Tho, Zdonik, Stan, Series editor, Ning, Peng, Series editor, Shekhar, Shashi, Series editor, Katz, Jonathan, Series editor, Wu, Xindong, Series editor, Jain, Lakhmi C, Series editor, Padua, David, Series editor, Shen, Xuemin, Series editor, Furht, Borko, Series editor, Subrahmanian, V.S., Series editor, Hebert, Martial, Series editor, Ikeuchi, Katsushi, Series editor, Siciliano, Bruno, Series editor, Wen, Heming, Tiwary, Prabhat Kumar, and Le-Ngoc, Tho

Published
2013
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33. Network and Infrastructure Virtualization Architectures

Author

Wen, Heming, Tiwary, Prabhat Kumar, Le-Ngoc, Tho, Zdonik, Stan, Series editor, Ning, Peng, Series editor, Shekhar, Shashi, Series editor, Katz, Jonathan, Series editor, Wu, Xindong, Series editor, Jain, Lakhmi C, Series editor, Padua, David, Series editor, Shen, Xuemin, Series editor, Furht, Borko, Series editor, Subrahmanian, V.S., Series editor, Hebert, Martial, Series editor, Ikeuchi, Katsushi, Series editor, Siciliano, Bruno, Series editor, Wen, Heming, Tiwary, Prabhat Kumar, and Le-Ngoc, Tho

Published
2013
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34. Wireless Virtualization

Author

Wen, Heming, Tiwary, Prabhat Kumar, Le-Ngoc, Tho, Zdonik, Stan, Series editor, Ning, Peng, Series editor, Shekhar, Shashi, Series editor, Katz, Jonathan, Series editor, Wu, Xindong, Series editor, Jain, Lakhmi C, Series editor, Padua, David, Series editor, Shen, Xuemin, Series editor, Furht, Borko, Series editor, Subrahmanian, V.S., Series editor, Hebert, Martial, Series editor, Ikeuchi, Katsushi, Series editor, Siciliano, Bruno, Series editor, Wen, Heming, Tiwary, Prabhat Kumar, and Le-Ngoc, Tho

Published
2013
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35. Framework for Wireless Virtualization

Author

Wen, Heming, Tiwary, Prabhat Kumar, Le-Ngoc, Tho, Zdonik, Stan, Series editor, Ning, Peng, Series editor, Shekhar, Shashi, Series editor, Katz, Jonathan, Series editor, Wu, Xindong, Series editor, Jain, Lakhmi C, Series editor, Padua, David, Series editor, Shen, Xuemin, Series editor, Furht, Borko, Series editor, Subrahmanian, V.S., Series editor, Hebert, Martial, Series editor, Ikeuchi, Katsushi, Series editor, Siciliano, Bruno, Series editor, Wen, Heming, Tiwary, Prabhat Kumar, and Le-Ngoc, Tho

Published
2013
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36. Network Virtualization: Overview

Author

Wen, Heming, Tiwary, Prabhat Kumar, Le-Ngoc, Tho, Zdonik, Stan, Series editor, Ning, Peng, Series editor, Shekhar, Shashi, Series editor, Katz, Jonathan, Series editor, Wu, Xindong, Series editor, Jain, Lakhmi C, Series editor, Padua, David, Series editor, Shen, Xuemin, Series editor, Furht, Borko, Series editor, Subrahmanian, V.S., Series editor, Hebert, Martial, Series editor, Ikeuchi, Katsushi, Series editor, Siciliano, Bruno, Series editor, Wen, Heming, Tiwary, Prabhat Kumar, and Le-Ngoc, Tho

Published
2013
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37. Introduction

Author

Wen, Heming, Tiwary, Prabhat Kumar, Le-Ngoc, Tho, Zdonik, Stan, Series editor, Ning, Peng, Series editor, Shekhar, Shashi, Series editor, Katz, Jonathan, Series editor, Wu, Xindong, Series editor, Jain, Lakhmi C, Series editor, Padua, David, Series editor, Shen, Xuemin, Series editor, Furht, Borko, Series editor, Subrahmanian, V.S., Series editor, Hebert, Martial, Series editor, Ikeuchi, Katsushi, Series editor, Siciliano, Bruno, Series editor, Wen, Heming, Tiwary, Prabhat Kumar, and Le-Ngoc, Tho

Published
2013
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49. Electrospun Nanofibers for Energy and Environment Protection

Author

Ashwini Kumari, Gurucharan Sahoo, Ramesh Oraon, Prabhat Kumar, and Shashikant Shivaji Vhatkar

Subjects
chemistry.chemical_classification, Materials science, Fabrication, Surface-area-to-volume ratio, chemistry, Nanofiber, Energy conversion efficiency, Nanometre, Nanotechnology, Polymer, Electrospinning, Energy storage
Abstract

Presently, the continuous depletion of non-renewable resources and their attendant environmental impacts has stimulated tremendous research attention to ensure sustainable energy and environment. To cope with such issues, research trend witnessed a paradigm shift toward designing and fabrication of nanofibrous materials as an effective alternative solution using appropriate processing techniques. Lately, a fascinating fiber fabrication technique, popularly known as electrospinning, has been found to broaden its application reach owing to intriguing physicochemical properties of materials like a huge surface area to volume ratio, complex porous structure, lightweight, and stability. Rising concerns over conventional energy resources, nanoscale featured—an electrospun technique not only promotes the production of continuous fibers (with diameters down to few nanometers) but also utilizes various organic (polymers)–inorganic (metal oxides) materials toward energy storage while resolving many other problems associated with ecological growth. The utilization of nanofibers can efficiently enhance the electrocatalytic activity toward higher electrochemical conversion efficiency. Similarly, nanofiber membrane because of its designed, complex structure with aligned patterning has shown prominence for filtration and detection of heavy metal ion, toxic chemical compounds desirable for environmental protection. Hence, innovative nanoscale manipulation of electrospun nanofibers through different morphologies, patterns, and functionality could pave the way to excel in the need for ever-rising demand of energy and sustainable growth of modern society.

Published
2021

50. PEERAssist: Leveraging on Paper-Review Interactions to Predict Peer Review Decisions

Author

Shashi Ranjan, Mayank Agrawal, Prabhat Kumar Bharti, Asif Ekbal, and Tirthankar Ghosal

Subjects
Leverage (negotiation), Vetting, Computer science, Process (engineering), media_common.quotation_subject, Proposition, Workload, Quality (business), Outcome (game theory), Data science, media_common
Abstract

Peer review is the widely accepted method of research validation. However, with the deluge of research paper submissions accompanied with the rising number venues, the paper vetting system has come under a lot of stress. Problems like dearth of adequate reviewers, finding appropriate expert reviewers, maintaining the quality of the reviews are steadily and strongly surfacing up. To ease the peer review workload to some extent, here we investigate how an Artificial Intelligence (AI)-powered review system would look like. We leverage on the paper-review interaction to predict the decision in the reviewing process. We do not envisage an AI reviewing papers in the near-future, but seek to explore a human-AI collaboration in the decision-making process where the AI would leverage on the human-written reviews and paper full-text to predict the fate of the paper. The idea is to have an assistive decision-making tool for the chairs/editors to help them with an additional layer of confidence, especially with borderline and contrastive reviews. We use cross-attention between the review text and paper full-text to learn the interactions and henceforth generate the decision. We also make use of sentiment information encoded within peer-review texts to guide the outcome. Our initial results show encouraging performance on a dataset of paper+peer reviews curated from the ICLR openreviews. We make our codes and dataset (https://github.com/PrabhatkrBharti/PEERAssist) public for further explorations. We re-iterate that we are in an early stage of investigation and showcase our initial exciting results to justify our proposition.

Published
2021

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