Ashish Garg

27 papers A 1Journal 20Unranked 6
YearRankTypeTitle / Venue / Authors
2025 J jnl
Enhancing data analysis and programming skills through structured prompt training: The impact of generative AI in engineering education.
Comput. Educ. Artif. Intell.
Ashish Garg, K. Nisumba Soodhani, Ramkumar Rajendran
2025 J jnl
Natural language processing-based ensemble technique to predict potential accident severity.
Int. J. Syst. Assur. Eng. Manag.
Baneswar Sarker, Arindam Barman, Ashish Garg, Jhareswar Maiti
2024 — conf
Analyzing the Role of Generative AI in Fostering Self-directed Learning Through Structured Prompt Engineering.
ITS (1)
Ashish Garg, Ramkumar Rajendran
2024 J jnl
Exploring Content-Based and Meta-Data Analysis for Detecting Fake News Infodemic: A case study on COVID-19.
CoRR
Oluwaseun Ajao, Ashish Garg, Márjory Da Costa-Abreu
2024 — conf
The Impact of Structured Prompt-Driven Generative AI on Learning Data Analysis in Engineering Students.
CSEDU (2)
Ashish Garg, Ramkumar Rajendran
2023 J jnl
Performance assessment of Dairy Cooperative Societies (DCSs): an AHP based composite index approach.
Ann. Oper. Res.
Goutam Sutar, Rakesh Arrawatia, Krantiraditya Dhalmahapatra, Ashish Garg, Deepak Kumar
2022 — conf
A Study on Methods for Managing Full-Duplex Self-Interference.
IC3I
Shubham Saxena, Sameer Sonawane, Bhanu Prakash Lohani, Ashish Garg, A Deepak, Deepika Arora
2022 J jnl
A novel classification approach based on context connotative network (CCNet): A case of construction site accidents.
Expert Syst. Appl.
Aryan Kumar Gupta, Chunduru Geetha Venkata Sai Pardheev, Sinjana Choudhuri, Souvik Das, Ashish Garg, Jhareswar Maiti
2022 J jnl
An integrated RFUCOM - RTOPSIS approach for failure modes and effects analysis: A case of manufacturing industry.
Reliab. Eng. Syst. Saf.
Krantiraditya Dhalmahapatra, Ashish Garg, Kritika Singh, Nirmal Francis Xavier, Jhareswar Maiti
2022 J jnl
Dual hesitant Z-number (DHZN), correlated distance, and risk quantification.
Int. J. Intell. Syst.
Souvik Das, Ashish Garg, Yash Khorania, Jhareswar Maiti
2022 J jnl
Granulized Z-OWA aggregation operator and its application in fuzzy risk assessment.
Int. J. Intell. Syst.
Ashish Garg, Jhareswar Maiti, Akhilesh Kumar
2022 J jnl
Granulized Z-VIKOR Model for Failure Mode and Effect Analysis.
IEEE Trans. Fuzzy Syst.
Ashish Garg, Souvik Das, Jhareswar Maiti, Sankar K. Pal
2021 J jnl
A comprehensive methodology for quantification of Bow-tie under type II fuzzy data.
Appl. Soft Comput.
Souvik Das, Ashish Garg, Jhareswar Maiti, O. B. Krishna, Jitesh J. Thakkar, R. K. Gangwar
2020 J jnl
A Weighted Similarity Measure Between Z-Numbers and Bow-Tie Quantification.
IEEE Trans. Fuzzy Syst.
Souvik Das, Ashish Garg, Sankar K. Pal, Jhareswar Maiti
2019 A conf
Active Learning for Domain Classification in a Commercial Spoken Personal Assistant.
INTERSPEECH
Xi C. Chen, Adithya Sagar, Justine T. Kao, Tony Y. Li, Christopher Klein, Stephen Pulman, Ashish Garg, Jason D. Williams
2019 J jnl
Active Learning for Domain Classification in a Commercial Spoken Personal Assistant.
CoRR
Xi C. Chen, Adithya Sagar, Justine T. Kao, Tony Y. Li, Christopher Klein, Stephen Pulman, Ashish Garg, Jason D. Williams
2019 J jnl
Leveraging User Engagement Signals For Entity Labeling in a Virtual Assistant.
CoRR
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
2014 J jnl
Numerical Investigation of Effects of Compound Angle and Length to Diameter Ratio on Adiabatic Film Cooling Effectiveness.
CoRR
Vidit Sharma, Ashish Garg
2013 J jnl
Vertex-centroid finite volume scheme on tetrahedral grids for conservation laws.
Comput. Math. Appl.
Praveen Chandrashekar, Ashish Garg
2011 J jnl
Vertex-centroid finite volume scheme on tetrahedral grids for conservation laws
CoRR
Praveen Chandrashekar, Ashish Garg
2009 J jnl
Language Diversity across the Consonant Inventories: A Study in the Framework of Complex Networks
CoRR
Monojit Choudhury, Animesh Mukherjee, Anupam Basu, Niloy Ganguly, Ashish Garg, Vaibhav Jalan
2008 — conf
Dynamic Multi-Level Thresholding Based Morphological Edge Detection.
IPCV
Neeta Nain, Gaurav Jindal, Ashish Garg, Anshul Jain, Yogendra Sikarwar
2006 — conf
USim: A User Behavior Simulation Framework for Training and Testing IDSes in GUI Based Systems.
Annual Simulation Symposium
Ashish Garg, Vidyaraman Sankaranarayanan, Shambhu J. Upadhyaya, Kevin A. Kwiat
2003 J jnl
Quantifying the financial impact of IT security breaches.
Inf. Manag. Comput. Secur.
Ashish Garg, Jeffrey Curtis, Hilary Halper
2003 J jnl
Soft Computing in the Design of Nontoxic Chemicals.
J. Chem. Inf. Comput. Sci.
Les M. Sztandera, Mendel Trachtman, Charles Bock, Janardhan Velga, Ashish Garg
2003 — conf
Statistical and Neural Network Forecasts of Apparel Sales.
IIS
Les M. Sztandera, Celia Frank, Ashish Garg, Amar Raheja
2003 J jnl
The Financial Impact of IT Security Breaches: What Do Investors Think?
Inf. Secur. J. A Glob. Perspect.
Ashish Garg, Jeffrey Curtis, Hilary Halper