Zobrazeno 1 - 10
of 76
pro vyhledávání: '"KULKARNI, AJAY"'
Autor:
Kulkarni, Ajay, Wang, Yingjie, Gopinath, Munisamy, Sobien, Dan, Rahman, Abdul, Batarseh, Feras A.
The increasing utilization of emerging technologies in the Food & Agriculture (FA) sector has heightened the need for security to minimize cyber risks. Considering this aspect, this manuscript reviews disclosed and documented cybersecurity incidents
Externí odkaz:
http://arxiv.org/abs/2403.08036
This manuscript presents a novel state-of-the-art cyber-physical water testbed, namely: The AI and Cyber for Water and Agriculture testbed (ACWA). ACWA is motivated by the need to advance water supply management using AI and Cybersecurity experimenta
Externí odkaz:
http://arxiv.org/abs/2310.17654
Autor:
Gurrapu, Sai, Kulkarni, Ajay, Huang, Lifu, Lourentzou, Ismini, Freeman, Laura, Batarseh, Feras A.
Publikováno v:
Published at Frontiers in Artificial Intelligence Journal 2023
Recent advances in deep learning have improved the performance of many Natural Language Processing (NLP) tasks such as translation, question-answering, and text classification. However, this improvement comes at the expense of model explainability. B
Externí odkaz:
http://arxiv.org/abs/2301.08912
Autor:
Kulkarni, Ajay V.
In this study, Thermomechanical properties of Ti-50.8 and 50.7 at% Ni alloy severely deformed using Equal Channel Angular Extrusion (ECAE) are investigated. The aim of this study is to reveal the effects of severe plastic deformation on shape memory,
Externí odkaz:
http://hdl.handle.net/1969.1/3246
Publikováno v:
Data & Policy, 3, E30
The quality of service in healthcare is constantly challenged by outlier events such as pandemics (i.e. Covid-19) and natural disasters (such as hurricanes and earthquakes). In most cases, such events lead to critical uncertainties in decision making
Externí odkaz:
http://arxiv.org/abs/2111.07503
Dealing with imbalanced data is a prevalent problem while performing classification on the datasets. Many times, this problem contributes to bias while making decisions or implementing policies. Thus, it is vital to understand the factors which cause
Externí odkaz:
http://arxiv.org/abs/2108.00071
Autor:
Kulkarni, Ajay
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. Current developments in AI can be combined wi
Externí odkaz:
http://arxiv.org/abs/2107.14414
Autor:
Kulkarni, Ajay, Gkountouna, Olga
We present a demonstration of REACT, a new Real-time Educational AI-powered Classroom Tool that employs EDM techniques for supporting the decision-making process of educators. REACT is a data-driven tool with a user-friendly graphical interface. It a
Externí odkaz:
http://arxiv.org/abs/2108.07693
Autor:
Batarseh, Feras A., Kulkarni, Ajay
The results of data mining endeavors are majorly driven by data quality. Throughout these deployments, serious show-stopper problems are still unresolved, such as: data collection ambiguities, data imbalance, hidden biases in data, the lack of domain
Externí odkaz:
http://arxiv.org/abs/1910.08670
Autor:
Nikkhah, Amin, Rohani, Abbas, Zarei, Mohammad, Kulkarni, Ajay, Batarseh, Feras A., Blackstone, Nicole Tichenor, Ovissipour, Reza
Publikováno v:
In Science of the Total Environment June 2023
