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Research Paper

Automatic Number Plate Recognition

Automatic Number Plate Recognition (ANPR) systems have become essential for various applications, including traffic monitoring, law enforcement, and toll collection. This paper presents a comprehensive study of an ANPR system that utilizes advanced image processing techniques and machine learning algorithms to achieve high accuracy in license plate detection and recognition. The proposed system employs a multi-step approach: image acquisition, preprocessing, plate localization, character segmentation, and optical character recognition (OCR). By integrating deep learning models for feature extraction and classification, the system demonstrates improved performance in diverse environmental conditions. Experimental results show that the proposed ANPR system achieves a recognition accuracy of over 95%, indicating its potential for real-world applications. Furthermore, the paper discusses challenges faced in ANPR implementation, including variations in plate design, illumination conditions, and occlusions, and suggests future directions for research to enhance robustness and efficiency.

Published by: Swanand Joshi, Pramod Jejure, Vishal Jankar, Chatrasal Jadhav

Author: Swanand Joshi

Paper ID: V10I5-1308

Paper Status: published

Published: October 14, 2024

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Research Paper

The Impact of Social Media Use on Identity Formation among Adolescents

This study examines the relationship between social media use and identity formation among adolescents aged 14 to 21. A quantitative survey (n = 131) assessed social comparison, online identity, and the influence of social media feedback on self-esteem. Results show a significant correlation between social comparison and the importance of online identity. Adolescents who spend more time on social media report a stronger influence of online reactions on their self-esteem. While social media fosters identity exploration, it also encourages validation-seeking behavior. These findings underscore the need for mindful social media use among adolescents.

Published by: Sora Pazer

Author: Sora Pazer

Paper ID: V10I5-1307

Paper Status: published

Published: October 13, 2024

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Research Paper

Standard Model of Particle Physics and String Theory

Quantum Physics remains an unapproachable and intimidating topic for high schoolers. Research papers available online contain complicated mathematics, rendering topics such as Quantum Field Theories in the Standard Model and String Theory inaccessible for students trying to gauge interest in these fields. This paper aims to provide an intuitive understanding, at the least, of these topics. It contains concise, relatively detailed explanations of the quantum field theories that explain the presence and interaction of the fundamental forces in our universe. It explores first the Standard Model, familiarizing readers with QED, QCD and Electroweak theory. The study examines flaws in this model before describing key attempts at the unification of forces in the quantum world: Grand Unification theory, Kaluza-Klein Idea and Supersymmetry. It links then to String Theory. The paper tries an interdisciplinary approach, by examining the implication of String Theory from the perspective of physics and mathematics. Conclusively, more research is required before one can determine whether String theory is realistic or not.

Published by: Mishita Manish Mhatre

Author: Mishita Manish Mhatre

Paper ID: V10I5-1287

Paper Status: published

Published: October 10, 2024

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Research Paper

A Mathematical Slam Dunk: Eliminating Bias using Advanced Statistical Techniques to Predict the NBA MVP

Predicting the Most Valuable Player (MVP) awards in the NBA is a complex task that involves analysing player statistics and performance metrics. For the history of the tournament, MVP selection has been based on subjective opinions and votes from sports analysts, and votes from the players themselves. However, using mathematical concepts in machine learning techniques, it is now possible to make more objective and data-driven predictions. In this study, we use mathematical concepts from the field of machine learning: Random Forest [1] and SMOTE [2] (Synthetic Minority Over-sampling Technique), to predict MVP award shares.

Published by: Qaid Sajjad Bandukwala, Siddharth Kannan

Author: Qaid Sajjad Bandukwala

Paper ID: V10I5-1253

Paper Status: published

Published: October 9, 2024

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Review Paper

Review on Inflammatory Pathway on Oral Cancer Disease

Oral cancer, characterized by malignant lesions in the oral cavity, poses significant health challenges globally. Inflammation has been increasingly recognized as a crucial factor in the pathogenesis and progression of oral cancer. This review synthesizes current knowledge on inflammatory pathways involved in oral cancer, emphasizing their role in tumor initiation, promotion, and progression. Key inflammatory mediators, including cytokines, chemokines, and prostaglandins, are examined for their contributions to the tumor microenvironment and their interactions with cancer cells. We explore the mechanisms by which chronic inflammation leads to genetic and epigenetic alterations, facilitating the transformation of normal epithelial cells into malignant ones. Additionally, the review discusses the impact of inflammatory signaling pathways, such as NF-κB, COX-2, and IL-6, on oral cancer progression and their potential as therapeutic targets. Insights into these inflammatory mechanisms offer valuable perspectives for developing novel diagnostic and therapeutic strategies to improve outcomes in oral cancer management

Published by: Namrata B. Baravkar, Anuradha Patil, Dipalee Vhankhade, Nileema Modhave

Author: Namrata B. Baravkar

Paper ID: V10I5-1281

Paper Status: published

Published: October 9, 2024

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Research Paper

Bridging the Gap: Education Inequality and Economic Impact in India

This paper examines the disparities in school enrollment and dropout rates across various Indian states and their correlation with economic conditions. The paper uncovers states with higher government and private enrollments and dives deeper into steps taken by government and its impact. Despite government initiatives like Sarva Shiksha Abhiyan, significant inequalities persist, particularly affecting marginalized communities and girls. The study utilizes secondary data from ASER and MOSPI, analyzing trends from 2009 to 2018. Findings reveal that states like Tripura and West Bengal have high government school enrollments, while Manipur leads in private school enrollments. Dropout rates are notably high in states like Uttar Pradesh, possibly due to less government initiatives, whereas Kerala and Tamil Nadu show low rates due to robust educational policies. The regression analysis indicates that higher per capita NSDP correlates with lower dropout rates and increased private school enrollments, suggesting economic factors significantly influence educational trends. Conversely, government school enrollments decrease with better economic conditions, highlighting the need for improved public education quality. The paper underscores the importance of targeted policies and social awareness in specific states to address these disparities and promote inclusive education.

Published by: Taksheel Agrawal, Priyonkon Chatterjee

Author: Taksheel Agrawal

Paper ID: V10I5-1278

Paper Status: published

Published: October 9, 2024

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