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Research Paper

Histopathological Pancreatic Cancer Detection

We demonstrate a successful use of quantum machine learning in the medical domain. This study focuses on a classification issue employing quantum transfer learning for the identification of histopathological pancreatic cancer. numerous transfer learning models, including VGG-16, ResNet18, AlexNet, Inception-v3, and numerous highly expressible variational quantum circuits (VQC), are used in this work model instead of a single one. Consequently, we offer a comparative evaluation of the models, highlighting the top-performing transfer learning model for histopathological cancer diagnosis, which has a prediction AUC of around 0.93. Additionally, we noticed that Classical (HQC) and Hybrid Quantum offered a little higher accuracy (0.885) than classical (0.88) for 1000 photos using Resnet18.

Published by: Anandhi R, Jayabhargavi B, Esther Jasmine C, Angelin Pabitha N S

Author: Anandhi R

Paper ID: V10I4-1187

Paper Status: published

Published: August 5, 2024

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Research Paper

Comparative Drying Study and Quality Evaluation of Cauliflower Leaf Powder

This study presents the comparative analysis of drying methods and quality evaluation of cauliflower leaf powder. The project focused on cauliflower leaves, often discarded as waste despite being highly nutritious. This project was aimed to assess the effectiveness of different drying techniques in preserving the quality attributes of cauliflower leaf powder for potential food and nutritional applications. Cauliflower leaves were dried using hot air oven drying and tray drying techniques. The quality parameters were evaluated for fresh and stored powder. The drying curves obtained from both methods revealed distinct drying behaviours, with the hot air oven exhibiting a higher initial drying rate, while the tray dryer achieved a shorter drying time i.e., 1hr 45min. The moisture content of the cauliflower leaf powder decreased significantly with drying time in both methods. Quality evaluation of the dried cauliflower leaf powder included analyses such as colour, moisture, ash, iron, calcium, vitamin C, microbe load. The fresh tray dried powder was high in moisture 4.725%, ash 14.6%, iron 15.23±5.491mg/100g, vitamin C 2.403mg/100g and hot air oven dried powder was high in calcium 40mg/100g. The stored tray dried powder was high in ash 13.8%, iron 9.369±5.98mg/100g, vitamin C 1.455mg/100g, whereas the 3 months stored hot air oven powder was high in moisture 9.831% and calcium 23.255mg/100g. The microbe load which was observed for 3 months indicated the microbe load was higher in tray dried powder than hot air oven dried powder. In conclusion, by considering the yield, drying time, drying rate, quality analysis tray dryer technique was found to be better than hot air oven technique for the preparation of cauliflower leaf powder.

Published by: Tatineni Kushala, Dr. R Renu

Author: Tatineni Kushala

Paper ID: V10I4-1178

Paper Status: published

Published: July 31, 2024

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Research Paper

Medical Waste Management in India: Trends, Regulations and Technological Innovations

Effective medical waste management is essential to mitigate environmental and public health risks. This study examines the evolution of medical waste management practices in India, highlighting historical trends, regulatory frameworks, technological advancements, and ongoing challenges. The research identifies a significant shift from rudimentary disposal methods to regulated practices, particularly following the Biomedical Waste (Management and Handling) Rules of 1998 and their 2016 amendments through literature review, policy analysis, and interviews with healthcare professionals. Despite these regulations, challenges such as inadequate infrastructure, insufficient training, and inconsistent compliance persist. Technological advancements like autoclaving and waste-to-energy processes offer promising improvements. The study underscores the necessity for stricter enforcement, enhanced training, and the integration of advanced technologies to overcome these challenges and advance sustainable healthcare practices.

Published by: Niharika Gupta

Author: Niharika Gupta

Paper ID: V10I4-1175

Paper Status: published

Published: July 30, 2024

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Research Paper

The Impact of Artificial Intelligence on Decision-Making, Motivation, and Safety in Education

Abstract Artificial Intelligence (AI) is being more and more incorporated into educational institutions, providing the possibility of important changes in different aspects. This research studies the influence of artificial intelligence (AI) on decision-making, motivation, and safety in the academic sector. Artificial intelligence (AI) improves decision-making by offering insights based on data and personalized learning opportunities. However, it also raises concerns about the possible decline of critical thinking and human judgment. In addition, although AI tools have the potential to enhance student motivation by providing personalized learning routes and interactive information, there is a concern that they may promote reliance on technology and diminish intrinsic motivation. AI-powered surveillance and predictive analytics can greatly enhance the safety and welfare of pupils. However, it is important to weigh the advantages of these benefits against the need to protect privacy and ensure ethical usage. Gaining a comprehensive understanding of these effects is essential for educators, administrators, and policymakers toutilize the benefits of AI while minimizing its drawbacks. This will eventually promote a more efficient and secure educational setting.

Published by: Dr.Kamma Ramanjaneyulu1, Dr. S.Aneel Amrutha Raju2, Mrs. B. Rasheeda3

Author: Dr.Kamma Ramanjaneyulu1

Paper ID: V10I4-1173

Paper Status: published

Published: July 30, 2024

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Research Paper

Exploring Women’s Participation in Finance: Analyzing Trends in Investing, Stock Markets, and Gender Roles

Over the past few years, Investing in the stock market has proven to be an effective method of securing a person’s long-term financial needs. Parents often invest to ensure that their child’s future financial needs such as education, health, living expenses, etc, are met. Studies have shown that Investing, along with other fields in finance, is prominently male-dominated. Due to lower levels of financial education and a more risk-averse outlook, Women tend to opt for more traditional income methods. However, the rate of women’s participation in the stock market has steadily been increasing. Younger women who are highly educated & have independent streams of income have shown to take an interest in investing. Married women, as well, are participating more in the stock market, possibly due to future familial responsibilities. This paper delves into women’s investment habits, the setbacks they face, and their reasons for choosing to or not to invest.

Published by: Kyna Aggarwal

Author: Kyna Aggarwal

Paper ID: V10I4-1176

Paper Status: published

Published: July 30, 2024

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Review Paper

Diversity of Plant Flora in Suttur Matt, Mysuru

Plants play a critical role in the development of human civilization. Medicinal plants are considered as rich resources of ingredients which can be used in various drug discoveries. Suttur matt has a history of thousands of years. In this campus around 96 varieties of plants species belongs to 45 family, in which 30 herbs, 15 shrubs, 01 climbers, 50 trees, 01 pteridophytes and 04 gymnosperms were identified and documented by their botanical name, family, part used, habit and its uses. The study found that majority of the plants recorded from the campus are having high medicinal plants and one endangered species also noted.

Published by: Pooja N

Author: Pooja N

Paper ID: V10I4-1155

Paper Status: published

Published: July 25, 2024

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