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15. Climate-Smart Agriculture

Author

Majhi, Prasanta Kumar, primary, Samal, Ipsita, additional, Bhoi, Tanmaya Kumar, additional, Pattnaik, Prachi, additional, Pradhan, Chandini, additional, Gupta, Akhilesh, additional, Mahanta, Deepak Kumar, additional, and Senapati, Subrat Kumar, additional

Published
2023
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19. Numerical Investigation of a Channel During Loss of Coolant Accident

Author

Kumar, Bhuwanesh, Kumar, Ravi, Gupta, Akhilesh, Chaari, Fakher, Series Editor, Gherardini, Francesco, Series Editor, Ivanov, Vitalii, Series Editor, Cavas-Martínez, Francisco, Editorial Board Member, di Mare, Francesca, Editorial Board Member, Haddar, Mohamed, Editorial Board Member, Kwon, Young W., Editorial Board Member, Trojanowska, Justyna, Editorial Board Member, Xu, Jinyang, Editorial Board Member, Sivaram, N. M., editor, Sankaranarayanasamy, K., editor, and Davim, J. Paulo, editor

Published
2023
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20. An Experimental Study of Rewetting on a Horizontal Tube with a Constant Heat Flux

Author

Kumar, Bhuwanesh, Kumar, Ravi, Gupta, Akhilesh, Cavas-Martínez, Francisco, Editorial Board Member, Chaari, Fakher, Series Editor, di Mare, Francesca, Editorial Board Member, Gherardini, Francesco, Series Editor, Haddar, Mohamed, Editorial Board Member, Ivanov, Vitalii, Series Editor, Kwon, Young W., Editorial Board Member, Trojanowska, Justyna, Editorial Board Member, Sharma, Dilip, editor, and Roy, Somnath, editor

Published
2023
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22. A Skew-Sensitive Evaluation Framework for Imbalanced Data Classification

Author

Du, Min, Tatbul, Nesime, Rivers, Brian, Gupta, Akhilesh Kumar, Hu, Lucas, Wang, Wei, Marcus, Ryan, Zhou, Shengtian, Lee, Insup, and Gottschlich, Justin

Subjects
Computer Science - Machine Learning, Computer Science - Artificial Intelligence
Abstract

Class distribution skews in imbalanced datasets may lead to models with prediction bias towards majority classes, making fair assessment of classifiers a challenging task. Metrics such as Balanced Accuracy are commonly used to evaluate a classifier's prediction performance under such scenarios. However, these metrics fall short when classes vary in importance. In this paper, we propose a simple and general-purpose evaluation framework for imbalanced data classification that is sensitive to arbitrary skews in class cardinalities and importances. Experiments with several state-of-the-art classifiers tested on real-world datasets from three different domains show the effectiveness of our framework - not only in evaluating and ranking classifiers, but also training them., Comment: 17 pages, Data-centric Machine Learning Research (DMLR) Workshop at ICML 2023

Published
2020

39. Numerical Studies on Methanol Pool Fire Inside the Enclosure

Author

Sahu, Deepak, Jain, Shorab, Gupta, Akhilesh, Kumar, Surendra, Cavas-Martínez, Francisco, Series Editor, Chaari, Fakher, Series Editor, Gherardini, Francesco, Series Editor, Haddar, Mohamed, Series Editor, Ivanov, Vitalii, Series Editor, Kwon, Young W., Series Editor, Trojanowska, Justyna, Series Editor, di Mare, Francesca, Series Editor, Manik, Gaurav, editor, Kalia, Susheel, editor, Sahoo, Sushanta Kumar, editor, Sharma, Tarun K., editor, and Verma, Om Prakash, editor

Published
2021
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40. Experimental Study on Elevated Methanol Pool Fires in a Compartment

Author

Tiwari, Mahesh Kumar, Gupta, Akhilesh, Kumar, Ravi, Mishra, Raj Kumar, Chaudhary, Avinash, Sharma, Pavan K., Cavas-Martínez, Francisco, Series Editor, Chaari, Fakher, Series Editor, Gherardini, Francesco, Series Editor, Haddar, Mohamed, Series Editor, Ivanov, Vitalii, Series Editor, Kwon, Young W., Series Editor, Trojanowska, Justyna, Series Editor, Revankar, Shripad, editor, Sen, Swarnendu, editor, and Sahu, Debjyoti, editor

Published
2021
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41. Numerical Study on Crude Oil Pool Fire Behavior in an Enclosure

Author

Chaudhary, Avinash, Tiwari, Mahesh Kumar, Gupta, Akhilesh, Kumar, Surendra, Cavas-Martínez, Francisco, Series Editor, Chaari, Fakher, Series Editor, Gherardini, Francesco, Series Editor, Haddar, Mohamed, Series Editor, Ivanov, Vitalii, Series Editor, Kwon, Young W., Series Editor, Trojanowska, Justyna, Series Editor, Revankar, Shripad, editor, Sen, Swarnendu, editor, and Sahu, Debjyoti, editor

Published
2021
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42. Experimental and Numerical Study of Temperature Distribution on Float Glass Along the Wall

Author

Mishra, Raj Kumar, Dasgotra, Ankit, Tiwari, Mahesh Kumar, Gupta, Akhilesh, Kumar, Ravi, Sharma, Pavan K., Cavas-Martínez, Francisco, Series Editor, Chaari, Fakher, Series Editor, Gherardini, Francesco, Series Editor, Haddar, Mohamed, Series Editor, Ivanov, Vitalii, Series Editor, Kwon, Young W., Series Editor, Trojanowska, Justyna, Series Editor, Revankar, Shripad, editor, Sen, Swarnendu, editor, and Sahu, Debjyoti, editor

Published
2021
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43. Thermal Behavior of a Completely Voided Coolant Channel for Indian PHWR Under Slumped Fuel Pin Condition: Experimental and Numerical Approach

Author

Ajay, Ketan, Kumar, Ravi, Gupta, Akhilesh, Mukhopadhyay, Deb, Cavas-Martínez, Francisco, Series Editor, Chaari, Fakher, Series Editor, Gherardini, Francesco, Series Editor, Haddar, Mohamed, Series Editor, Ivanov, Vitalii, Series Editor, Kwon, Young W., Series Editor, Trojanowska, Justyna, Series Editor, Venkatakrishnan, L., editor, Majumdar, Sekhar, editor, Subramanian, Ganesh, editor, Bhat, G. S., editor, Dasgupta, Ratul, editor, and Arakeri, Jaywant, editor

Published
2021
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45. Fueling the Future: The Emergence of Self-Powered Enzymatic Biofuel Cell Biosensors.

Author

Gupta, Akhilesh Kumar and Krasnoslobodtsev, Alexey Viktorovich

Subjects
ENERGY consumption, ENVIRONMENTAL monitoring, BIOSENSORS, DATA transmission systems, BIOMASS energy
Abstract

Self-powered biosensors are innovative devices that can detect and analyze biological or chemical substances without the need for an external power source. These biosensors can convert energy from the surrounding environment or the analyte itself into electrical signals for sensing and data transmission. The self-powered nature of these biosensors offers several advantages, such as portability, autonomy, and reduced waste generation from disposable batteries. They find applications in various fields, including healthcare, environmental monitoring, food safety, and wearable devices. While self-powered biosensors are a promising technology, there are still challenges to address, such as improving energy efficiency, sensitivity, and stability to make them more practical and widely adopted. This review article focuses on exploring the evolving trends in self-powered biosensor design, outlining potential advantages and limitations. With a focal point on enzymatic biofuel cell power generation, this article describes various sensing mechanisms that employ the analyte as substrate or fuel for the biocatalyst's ability to generate current. Technical aspects of biofuel cells are also examined. Research and development in the field of self-powered biosensors is ongoing, and this review describes promising areas for further exploration within the field, identifying underexplored areas that could benefit from further investigation. [ABSTRACT FROM AUTHOR]

Published
2024
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