Search Results for author: Ajay Kulkarni

Found 8 papers, 1 papers with code

A Review of Cybersecurity Incidents in the Food and Agriculture Sector

no code implementations12 Mar 2024 Ajay Kulkarni, Yingjie Wang, Munisamy Gopinath, Dan Sobien, Abdul Rahman, Feras A. Batarseh

The increasing utilization of emerging technologies in the Food & Agriculture (FA) sector has heightened the need for security to minimize cyber risks.

Decision Making

ACWA: An AI-driven Cyber-Physical Testbed for Intelligent Water Systems

1 code implementation27 Sep 2023 Feras A. Batarseh, Ajay Kulkarni, Chhayly Sreng, Justice Lin, Siam Maksud

In this paper, the system is introduced in detail and compared with existing water testbeds; additionally, example use-cases are described along with novel outcomes such as datasets, software, and AI-related scenarios.

Decision Making Management

Rationalization for Explainable NLP: A Survey

no code implementations21 Jan 2023 Sai Gurrapu, Ajay Kulkarni, Lifu Huang, Ismini Lourentzou, Laura Freeman, Feras A. Batarseh

Recent improvements in natural language generation have made rationalization an attractive technique because it is intuitive, human-comprehensible, and accessible to non-technical users.

Explainable Artificial Intelligence (XAI) Question Answering +3

Measuring Outcomes in Healthcare Economics using Artificial Intelligence: with Application to Resource Management

no code implementations15 Nov 2021 Chih-Hao Huang, Feras A. Batarseh, Adel Boueiz, Ajay Kulkarni, Po-Hsuan Su, Jahan Aman

In most cases, such events lead to critical uncertainties in decision making, as well as in multiple medical and economic aspects at a hospital.

Decision Making Management

Foundations of data imbalance and solutions for a data democracy

no code implementations30 Jul 2021 Ajay Kulkarni, Deri Chong, Feras A. Batarseh

Dealing with imbalanced data is a prevalent problem while performing classification on the datasets.

Towards Understanding the Impact of Real-Time AI-Powered Educational Dashboards (RAED) on Providing Guidance to Instructors

no code implementations30 Jul 2021 Ajay Kulkarni

The objectives of this ongoing research are to build Real-Time AI-Powered Educational Dashboard (RAED) as a decision support tool for instructors, and to measure its impact on them while making decisions.

Context-Driven Data Mining through Bias Removal and Data Incompleteness Mitigation

no code implementations19 Oct 2019 Feras A. Batarseh, Ajay Kulkarni

Context-driven Data Science Lifecycle (C-DSL); the main contribution of this paper, is developed to address these challenges.

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