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ORCIDAshish Garg
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
Person information
Other persons with the same name
- Ashish Garg 0001 — University of Minnesota
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Journal Articles
- 2023
[j12]Goutam Sutar
, Rakesh Arrawatia, Krantiraditya Dhalmahapatra, Ashish Garg, Deepak Kumar:
Performance assessment of Dairy Cooperative Societies (DCSs): an AHP based composite index approach. Ann. Oper. Res. 326(2): 751-782 (2023)- 2022
- [j11]Aryan Kumar Gupta, Chunduru Geetha Venkata Sai Pardheev, Sinjana Choudhuri, Souvik Das, Ashish Garg, Jhareswar Maiti:
A novel classification approach based on context connotative network (CCNet): A case of construction site accidents. Expert Syst. Appl. 202: 117281 (2022) - [j10]Souvik Das, Ashish Garg, Yash Khorania, Jhareswar Maiti:
Dual hesitant Z-number (DHZN), correlated distance, and risk quantification. Int. J. Intell. Syst. 37(1): 625-660 (2022) - [j9]Ashish Garg, Jhareswar Maiti, Akhilesh Kumar:
Granulized Z-OWA aggregation operator and its application in fuzzy risk assessment. Int. J. Intell. Syst. 37(2): 1479-1508 (2022) - [j8]Krantiraditya Dhalmahapatra, Ashish Garg, Kritika Singh, Nirmal Francis Xavier, Jhareswar Maiti:
An integrated RFUCOM - RTOPSIS approach for failure modes and effects analysis: A case of manufacturing industry. Reliab. Eng. Syst. Saf. 221: 108333 (2022) - [j7]Ashish Garg, Souvik Das, Jhareswar Maiti, Sankar K. Pal:
Granulized Z-VIKOR Model for Failure Mode and Effect Analysis. IEEE Trans. Fuzzy Syst. 30(2): 297-309 (2022) - 2021
- [j6]Souvik Das, Ashish Garg, Jhareswar Maiti, O. B. Krishna, Jitesh J. Thakkar, R. K. Gangwar:
A comprehensive methodology for quantification of Bow-tie under type II fuzzy data. Appl. Soft Comput. 103: 107148 (2021) - 2020
- [j5]Souvik Das, Ashish Garg, Sankar K. Pal, Jhareswar Maiti:
A Weighted Similarity Measure Between Z-Numbers and Bow-Tie Quantification. IEEE Trans. Fuzzy Syst. 28(9): 2131-2142 (2020) - 2013
- [j4]Praveen Chandrashekar, Ashish Garg:
Vertex-centroid finite volume scheme on tetrahedral grids for conservation laws. Comput. Math. Appl. 65(1): 58-74 (2013) - 2003
- [j3]Ashish Garg, Jeffrey Curtis, Hilary Halper:
Quantifying the financial impact of IT security breaches. Inf. Manag. Comput. Secur. 11(2): 74-83 (2003) - [j2]Ashish Garg, Jeffrey Curtis, Hilary Halper:
The Financial Impact of IT Security Breaches: What Do Investors Think? Inf. Secur. J. A Glob. Perspect. 12(1): 22-33 (2003) - [j1]Les M. Sztandera, Mendel Trachtman, Charles Bock, Janardhan Velga, Ashish Garg:
Soft Computing in the Design of Nontoxic Chemicals. J. Chem. Inf. Comput. Sci. 43(1): 189-198 (2003)
Conference and Workshop Papers
- 2024
- [c7]Ashish Garg, Ramkumar Rajendran:
The Impact of Structured Prompt-Driven Generative AI on Learning Data Analysis in Engineering Students. CSEDU (2) 2024: 270-277 - [c6]Ashish Garg, Ramkumar Rajendran:
Analyzing the Role of Generative AI in Fostering Self-directed Learning Through Structured Prompt Engineering. ITS (1) 2024: 232-243 - 2022
- [c5]Shubham Saxena, Sameer Sonawane, Bhanu Prakash Lohani, Ashish Garg, A Deepak, Deepika Arora:
A Study on Methods for Managing Full-Duplex Self-Interference. IC3I 2022: 1401-1408 - 2019
- [c4]Xi C. Chen, Adithya Sagar, Justine T. Kao, Tony Y. Li, Christopher Klein, Stephen Pulman, Ashish Garg, Jason D. Williams:
Active Learning for Domain Classification in a Commercial Spoken Personal Assistant. INTERSPEECH 2019: 1478-1482 - 2008
- [c3]Neeta Nain, Gaurav Jindal, Ashish Garg, Anshul Jain, Yogendra Sikarwar:
Dynamic Multi-Level Thresholding Based Morphological Edge Detection. IPCV 2008: 290-296 - 2006
- [c2]Ashish Garg, Vidyaraman Sankaranarayanan, Shambhu J. Upadhyaya, Kevin A. Kwiat:
USim: A User Behavior Simulation Framework for Training and Testing IDSes in GUI Based Systems. Annual Simulation Symposium 2006: 196-203 - 2003
- [c1]Les M. Sztandera, Celia Frank, Ashish Garg, Amar Raheja:
Statistical and Neural Network Forecasts of Apparel Sales. IIS 2003: 321-329
Informal and Other Publications
- 2024
- [i6]Oluwaseun Ajao, Ashish Garg, Márjory Da Costa-Abreu:
Exploring Content-Based and Meta-Data Analysis for Detecting Fake News Infodemic: A case study on COVID-19. CoRR abs/2401.08841 (2024) - 2019
- [i5]Xi C. Chen, Adithya Sagar, Justine T. Kao, Tony Y. Li, Christopher Klein, Stephen Pulman, Ashish Garg, Jason D. Williams:
Active Learning for Domain Classification in a Commercial Spoken Personal Assistant. CoRR abs/1908.11404 (2019) - [i4]Deepak Muralidharan, Justine T. Kao, Xiao Yang, Lin Li, Lavanya Viswanathan, Mubarak Seyed Ibrahim, Kevin Luikens, Stephen Pulman, Ashish Garg, Atish Kothari, Jason D. Williams:
Leveraging User Engagement Signals For Entity Labeling in a Virtual Assistant. CoRR abs/1909.09143 (2019) - 2014
- [i3]Vidit Sharma, Ashish Garg:
Numerical Investigation of Effects of Compound Angle and Length to Diameter Ratio on Adiabatic Film Cooling Effectiveness. CoRR abs/1405.0560 (2014) - 2011
- [i2]Praveen Chandrashekar, Ashish Garg:
Vertex-centroid finite volume scheme on tetrahedral grids for conservation laws. CoRR abs/1112.4238 (2011) - 2009
- [i1]Monojit Choudhury, Animesh Mukherjee, Anupam Basu, Niloy Ganguly, Ashish Garg, Vaibhav Jalan:
Language Diversity across the Consonant Inventories: A Study in the Framework of Complex Networks. CoRR abs/0904.1289 (2009)
Coauthor Index
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