Dipti Patil

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
Reads
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141
Citations
Current institution
University of the Cumberlands
Current position
  • PhD Student

Publications

Publications (18)
Chapter
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...
Article
Full-text available
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...
Conference Paper
Full-text available
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...
Conference Paper
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...
Conference Paper
Full-text available
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...
Conference Paper
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...

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