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Green Initiative Low-Cost Solar Electric Vehicle

Renewable energy is a type of energy that may be produced from a variety of resources, including sunlight, wind, tides, geothermal, etc. It delivers sustainable, clean energy that is derived from renewable natural resources. More renewable energy will be used, which will reduce the cost and demand for fossil fuels. The main uses of solar photovoltaic energy are for power generation, heating, and other things. The development of solar-powered cars was made possible by recent breakthroughs. This study discusses the design and development of a charge controller-based solar charging system for electric automobiles. The suggested system's implementation will lower the price of power and charging and discharging losses. Also, this is one of the steps taken to create a green campus by proposing a solar charging system. This paper will show how to create a solar-powered electrical vehicle system and analyze its performance.

Published by: Mir Ariz Ahmed, Mohammed Uzair, Upanya M., Swathi G. Hebbar, Dr. Gopala Reddy K.

Author: Mir Ariz Ahmed

Paper ID: V10I1-1143

Paper Status: published

Published: January 15, 2024

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Research Paper

Harmonizing Intelligence: An Overture to the Symphony of Artificial Intelligence

This comprehensive research paper undertakes a thorough examination of the multifaceted landscape of Artificial Intelligence (AI), encapsulating its historical evolution, contemporary developments, and prospective trajectories. Rooted in a rich historical context, the paper navigates through the seminal moments of AI inception, the contributions of key figures, and the paradigm shifts that have shaped its trajectory. Moving beyond historical insights, the study delves deep into the theoretical foundations of AI, encompassing machine learning, natural language processing, computer vision, and ethical considerations. The exploration of cutting-edge models, interdisciplinary collaborations, and real-world applications underscores the transformative influence of AI across diverse domains.

Published by: Jainam Dedhia, Vyom rampariya, Yagnik Raval

Author: Jainam Dedhia

Paper ID: V10I1-1149

Paper Status: published

Published: January 15, 2024

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Research Paper

The Crucial Role of Programming Languages in Today’s World

The research paper explores the evolution and crucial role of programming languages in shaping the digital era, emphasizing their significance in diverse fields such as technology, education, innovation, and global connectivity. Additionally, it delves into the current trends in programming languages, with a focus on Python and JavaScript, and highlights the importance of mobile application testing in ensuring a seamless user experience. The conclusion underscores the integral role of programming languages in our technologically-driven society.

Published by: Kaustubh Khangate, Anuj Kishor Rahatwal, Paras Vishal Kanade

Author: Kaustubh Khangate

Paper ID: V10I1-1141

Paper Status: published

Published: January 11, 2024

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Research Paper

Advancements in Artificial Intelligence: Impacts on Society and Ethics

This research paper delves into the intricate interplay between Artificial Intelligence (AI) and computer engineering, exploring its historical roots, current state, societal impacts, ethical considerations, regulatory frameworks, and future prospects. From tracing the evolution of AI in computer engineering to anticipating future technological advancements, the narrative unfolds within the broader context of societal transformation. The examination of ethical dimensions and regulatory challenges underscores the need for responsible development and governance. As AI becomes increasingly integrated into computer engineering, this research aims to provide a comprehensive understanding of its multifaceted impacts and guide a thoughtful approach to navigating the evolving landscape. This research paper delves into the intricate interplay between Artificial Intelligence (AI) and computer engineering, exploring its historical roots, current state, societal impacts, ethical considerations, regulatory frameworks, and future prospects. From tracing the evolution of AI in computer engineering to anticipating future technological advancements, the narrative unfolds within the broader context of societal transformation. The examination of ethical dimensions and regulatory challenges underscores the need for responsible development and governance. As AI becomes increasingly integrated into computer engineering, this research aims to provide a comprehensive understanding of its multifaceted impacts and guide a thoughtful approach to navigating the evolving landscape. This research paper delves into the intricate interplay between Artificial Intelligence (AI) and computer engineering, exploring its historical roots, current state, societal impacts, ethical considerations, regulatory frameworks, and future prospects. From tracing the evolution of AI in computer engineering to anticipating future technological advancements, the narrative unfolds within the broader context of societal transformation. The examination of ethical dimensions and regulatory challenges underscores the need for responsible development and governance. As AI becomes increasingly integrated into computer engineering, this research aims to provide a comprehensive understanding of its multifaceted impacts and guide a thoughtful approach to navigating the evolving landscape.

Published by: Dhanashree Kolhe, Jeel Mange, Gautamii Sinkar

Author: Dhanashree Kolhe

Paper ID: V10I1-1139

Paper Status: published

Published: January 11, 2024

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Research Paper

Blockchain Technology

Blockchain is a method of recording information that makes it impossible or difficult for the system to be changed, hacked, or manipulated

Published by: Prapti Chaware, Adhyatmika Ghodvinde, Harshal Gawade

Author: Prapti Chaware

Paper ID: V9I6-1243

Paper Status: published

Published: January 6, 2024

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Research Paper

Phishing mail detection using bidirectional LSTM

Phishing attacks have become a major concern in today's digital world, where malicious actors try to dupe unsuspecting individuals into divulging sensitive information. The need for effective methods to detect phishing emails has become crucial. In this study, we propose a novel approach for phishing mail detection using Bidirectional Long Short-Term Memory (BiLSTM) networks. BiLSTM networks are a type of recurrent neural network (RNN) that can capture temporal dependencies in sequential data. Our approach leverages the power of BiLSTM networks to analyze the content and structure of emails for identifying phishing attempts. We preprocess the email data by converting them into sequential tokenized representations. These representations are then fed into the BiLSTM network to learn the patterns and features associated with phishing emails. We train our model using a large dataset of labeled phishing and non-phishing emails. Experimental results demonstrate that our proposed approach achieves high detection accuracy, outperforming traditional machine learning algorithms. The ability of BiLSTM networks to capture both past and future contextual information allows our model to effectively identify phishing emails based on their content and structural properties. With the increasing sophistication of phishing attacks, the development of robust and accurate detection systems is paramount. Our approach contributes to this goal by providing an efficient and reliable method for detecting phishing emails, thereby enhancing the security of individuals and businesses

Published by: Vusa Vamsi Krishna

Author: Vusa Vamsi Krishna

Paper ID: V9I6-1235

Paper Status: published

Published: January 3, 2024

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