
Dipti Patil- Master of Science
- PhD Student at University of the Cumberlands
Dipti Patil
- Master of Science
- PhD Student at University of the Cumberlands
Working as a Product Owner at Virtusa
PhD candidate in Business at University of Cumberlands
About
18
Publications
5,209
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141
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Introduction
Current institution
Publications
Publications (18)
The goal of text summarization, a crucial task in natural language processing (NLP), is to reduce enormous amounts of text into brief summaries while retaining the most important details. The development of cloud computing and improvements in machine learning have opened new possibilities for improving the effectiveness and precision of text summar...
Liver disease is a global health concern of significant magnitude, necessitating early and accurate diagnosis for effective treatment. Conventional diagnostic methods are often laborious and susceptible to human errors. This research paper embarks on a journey to harness the potential of diverse Machine Learning (ML) models, encompassing Logistic R...
The explosive growth of the Internet of Things (IoT) has created unprecedented cybersecurity challenges and opportunities. As the Internet of Things expands to include more connected devices, it becomes more difficult to safeguard the security and privacy of sensitive data. In this context, artificial intelligence (AI) has become a potent instrumen...
This paper presents a comprehensive
investigation into the application of intelligent neural
networks for energy management in microgrids with
prioritized electric vehicle (EV) charging. With the rising
popularity of EVs as a sustainable mode of transportation,
effective management of their charging and discharging
while minimizing the impact on th...
This paper investigates the use of transfer learning in MRI-based brain tumor detection. The goal is to develop a reliable and efficient model for accurately classifying brain tumors, addressing the challenging task of interpreting complex and variable tumor characteristics. By leveraging transfer learning, the model can benefit from prior knowledg...
The paper presents the discussion and
design of a rectenna at 2.45GHz wireless frequency.
Rectenna consists of an integration of an antenna and
a rectifier circuit. A patch rectenna with FR-4
substrate is designed to map a dip at 2.45GHz to
capture Wi-Fi signals and consume power -11.92db.
The rectifier circuit includes a bridge rectifier, and
inst...