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Review Paper

Using Technology to Explore the Therapeutic Benefits of Classical Indian Music

This review paper explores the therapeutic qualities of Indian ragas and the potential use of modern technology in analyzing them. It examines traditional beliefs, recent scientific research, and the application of computational techniques such as machine learning and audio analysis tools in studying ragas.

Published by: Samarth Varma

Author: Samarth Varma

Paper ID: V10I4-1179

Paper Status: published

Published: August 12, 2024

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Research Paper

Detection and Classification of Bone Fractures in X-Ray Images using Yolov8

Hospitals often handle a significant volume of bone fractures, which form a major segment of their medical caseload. X-ray imaging is critical for the accurate detection and classification of these fractures, playing a pivotal role in guiding subsequent treatment strategies. This study investigates the potential of the YOLO (You Only Look Once) deep learning framework to advance the automatic detection and classification of bone fractures in X-ray images. Specifically, it aims to enhance the YOLOv8 model's ability to identify various fracture types by training it on an extensive and diverse set of labelled X-ray images and employing data augmentation techniques to improve performance. The diagnostic tool is expected to support radiologists by providing timely and accurate insights, thereby streamlining the decision-making process. The results show that the YOLOv8 model, enhanced with data augmentation outperforms the standard YOLOv8 model in both accuracy and speed for fracture detection and classification. This approach not only promises to elevate diagnostic standards but also has the potential to reduce the workload on radiologists, leading to more effective and efficient patient care.

Published by: Vidya Shree G

Author: Vidya Shree G

Paper ID: V10I4-1189

Paper Status: published

Published: August 10, 2024

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Research Paper

Preventive Healthcare Diagnostics Leveraging Machine Learning

The healthcare system in India is facing unprecedented challenges due to the rising population, inadequate healthcare infrastructure, higher doctor-to-patient ratio, and lack of healthcare awareness in our society. Technology is the only saviour to bring in the much-needed transformation required in healthcare space. One such idea is Predictive Healthcare Analytics which has the potential to revolutionize the healthcare industry by providing insights that improve patient outcomes, optimize usage of existing resources, and enhance overall efficiency. It leverages data, analysis algorithms, and machine learning techniques to forecast future health outcomes and trends. This approach enables doctors to anticipate potential issues and proactively address them, rather than responding reactively.

Published by: Akankshya Mohanty, Anandi Nagpal, Naisha Parida

Author: Akankshya Mohanty

Paper ID: V10I4-1184

Paper Status: published

Published: August 9, 2024

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Research Paper

EasifyMart: An E-Commerce Platform

This paper looks at different aspects of online shopping, such as new trends and areas that need more research. It uses information from six other research papers about online shopping in India and Bangladesh. The study finds important areas to explore further, like personalizing shopping experiences, using new technology like blockchain and voice shopping, and making sure online shopping is ethical and sustainable. The paper aims to help people understand how online shopping is changing and suggest ideas for future research.

Published by: Kaustubh Bhargava, Krishnansh Vyas, Santosh Varshney

Author: Kaustubh Bhargava

Paper ID: V10I3-1180

Paper Status: published

Published: August 9, 2024

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Research Paper

Plant Afflict Perception using Deep Learning

Plant disease detection is a critical task in agriculture to prevent significant losses due to disease spread. The manual examination process used in traditional disease detection methods takes a lot of time and labor. This research presents a plant disease detection system using deep learning, specifically leveraging the InceptionV3 architecture, a type of Convolutional Neural Network (CNN). Our approach demonstrates improved accuracy and speed in identifying plant diseases, contributing to more efficient agricultural practices. The model achieved a validation accuracy of 96%.

Published by: G Amrutha Swapna Tulasi

Author: G Amrutha Swapna Tulasi

Paper ID: V10I4-1182

Paper Status: published

Published: August 8, 2024

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Research Paper

Gender Pay Gap in the Two Most Popular Sports; A Comprehensive View of the Current Position of Soccer Players and Cricketers

This research paper discusses the differences between the experiences of women and men in sports, largely focusing on soccer. This paper takes a comprehensive look at factors that prevent women from reaching an equal pay gap, acts in certain countries to prevent pay gap discrimination that is ineffective, comparison of the salaries of men vs women in particular sports, the large difference in media coverage and sponsorships received by women vs men, whether the popularity of a sport impacts the pay gap, challenges women face, recognition of male vs female athletes, and the politicizing of women in sports.

Published by: Kimaya Jhala Gulati

Author: Kimaya Jhala Gulati

Paper ID: V10I4-1180

Paper Status: published

Published: August 5, 2024

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