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Research Paper

Artificial Intelligence in Aviation: Enhancing Efficiency, Safety, and Sustainability

The aviation industry globally is bogged down by punctuality, cost pressure, customer satisfaction, safety & reliability. The continued growth of this industry requires solutions that optimize flight performance, bring down operating costs, maintains safety and meets customer satisfaction. This paper explores the application of AI in optimizing routing, predictive maintenance, simulating real-life situations for training, passenger experience, and its role in the current and future of the aviation industry.

Published by: Pranshul Saroop

Author: Pranshul Saroop

Paper ID: V11I4-1165

Paper Status: published

Published: August 19, 2025

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Research Paper

AI-Enabled Forest Fire Detection and Automated Response Systems: An Integrated Technological Solution for Early Suppression and Biodiversity Protection

Forest fires have long been a significant threat to ecosystems, biodiversity, and climate stability around the world. The increasing scale and severity of these events, exacerbated by climate change, highlight the need for advanced prevention and response systems. Traditional manual firefighting measures are often delayed, leading to catastrophic outcomes. This paper proposes an original AI-enabled fire response system that combines in-forest sensor networks with automated water or fire extinguishing solutions, aiming for rapid, localized response. Employing smoke sensors and machine learning algorithms, the system detects early fire signs and instantaneously activates localized suppression mechanisms to prevent spread. This research addresses the design, operation, and potential effectiveness of such a system, drawing on literature, technological assessments, and simulations. The findings suggest that AI-driven integrated systems can dramatically enhance early fire suppression and lessen environmental, economic, and health impacts.

Published by: Divyanshi Gupta

Author: Divyanshi Gupta

Paper ID: V11I4-1219

Paper Status: published

Published: August 19, 2025

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Review Paper

Overview of the Use of Hydrogen Fuel Cells in the Maritime Sector

Abstract The maritime industry, responsible for 80% of all global trade and 3% of all greenhouse gas emissions, has been aiming for decarbonization for decades. With the International Maritime Organisation (IMO) aiming for net-zero carbon emissions by 2050, the implementation of the use of eco-friendly fuel and technologies has fast established itself as a priority. Hydrogen fuel cells, a new technology facing research and development, are one such alternative fuel source that has zero-carbon emissions. This paper presents a technological overview of the types of hydrogen fuel cells, the ship structural requirements for their storage and transport, the challenges associated with implementing this technology, and examples of ships currently using hydrogen fuel cells. Also provided is an in-depth analysis of hydrogen fuel cells with alternative fuels like ammonia and biofuel and with fossil fuels like heavy fuel oil (HFO) and liquified natural gas (LNG).

Published by: Jahnavi Sharma

Author: Jahnavi Sharma

Paper ID: V11I4-1215

Paper Status: published

Published: August 19, 2025

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Research Paper

Challenges Faced by Micro and Small Firms and Disparities of Firm Growth in India

Microenterprises form the backbone of rural India's economic environment, but their access to formal financial sources remains limited due to inadequate documentation, low financial literacy, and credit risks. In the absence of formal sources of credit, these enterprises are compelled to turn to informal credit sources such as moneylenders, local traders, and friends and family to meet their financial needs. This research paper explores the various challenges microenterprises face in acquiring required credit, including high interest rates and lack of security. An important factor is the problem of rent-seeking behavior expressed by various sources of credit, from individuals to local authorities, which increases borrowing costs and increases inequities. Using firsthandexperiences, case studies, and data analysis, this study identifies patterns of firm growth and unequal growth that display credit access in rural informal markets. The findings highlight the urgent need for government interventions and the expansion of accessible and affordable financial services specific to the unique challenges faced by rural microenterprises.

Published by: Aabir Chatterjee

Author: Aabir Chatterjee

Paper ID: V11I4-1214

Paper Status: published

Published: August 13, 2025

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Research Paper

Trademark Infringement in the Digital Age: Domain Names, Metatags, and Social Media

The digital revolution has fundamentally altered the use, protection, and infringement of trademarks. While there are numerous new opportunities for branding and visibility, there are also new challenges in enforcement, particularly regarding domain names, metatags, and other social media platforms. This paper examines how traditional trademark laws adapt to the digital sphere, explores the legal consequences of infringing trademarks in the online environment, and analyzes key case law and statutes, suggesting ways to enhance the regulations. The paper offers both international and Indian perspectives, making it a valuable resource for practicing lawyers and digital entrepreneurs.

Published by: Hitesh Vashisth

Author: Hitesh Vashisth

Paper ID: V11I3-1392

Paper Status: published

Published: August 12, 2025

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Research Paper

How Could We Add Emotional Nuances to AI-Generated Music?

In recent years, artificial intelligence (AI) has made significant progress in generating music using architectures such as RNNs, Transformers, GANs, VAEs, diffusion models, and large language models. Although these models are capable of generating structurally coherent and stylistically accurate music, they tend to lack the subtle emotional nuance and depth of human music. This paper examines the idea of emotional nuance—the ability of AI-generated music to express subtle variations, mixed effects, changing affective trajectories, and selective emotional impact. Combining theories from music psychology, affective computing, and computational creativity, I translate musical features like tempo, mode, harmony, dynamics, articulation, timbre, and melodic contour into their perceived emotional counterparts. I survey and compare methods of emotional control, ranging from conditional generation and reinforcement learning with affective rewards to employing music theory and hybrid symbolic–neural methods. I present key challenges, including the subjective nature of emotional perception, limitations in datasets, cultural variability, and the challenge of quantifying nuanced affect. I also outline directions for future work around more robust datasets, culturally adaptive models, cognitively inspired emotion representations, interpretable control mechanisms, and sound evaluation frameworks. By refining these strategies, AI music systems can move closer to being not just pattern generators but creative collaborators able to express genuine emotion.

Published by: Moaksh Kakkar

Author: Moaksh Kakkar

Paper ID: V11I4-1212

Paper Status: published

Published: August 12, 2025

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