Browsing Year-2023 by Title

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  • Prusty, Ayush; Bohara, Vivek Ashok (Advisor) (IIIT-Delhi, 2023-11-29)
    This study conducts a comprehensive analysis of India’s climatic trends, emphasizing Delhi’s climate specifics by analyzing extensive datasets encompassing diverse Indian landscapes. It reveals temporal and spatial variations ...
  • Arora, Chaitanya; Sambuddho (advisor) (IIIT-Delhi, 2023-11-24)
    This research introduces an advanced watermarking methodology designed to combat digital video piracy, specifically targeting traitor tracing and identifying piraters within digital media distribution platforms. The study ...
  • Dvivedi, Shubhang Shekhar; Pujari, Sai Leela Rahul; Vijay, Vyshnav; Lodh, Shoumik; Kumar, Dhruv (Advisor) (IIIT-Delhi, 2023-11-29)
    This paper presents a comprehensive comparative analysis of Large Language Models (LLMs) for code documentation generation. Code documentation is an essential part of the software writing process as it allows a new user ...
  • Chilkoti, Mansi; Mohta, Shagun; Sethi, Tavpritesh (Advisor) (IIIT-Delhi, 2023-11-29)
    This project aims to compare traditional baseline models, specifically the Naive Bayes model and the Long Short-Term Memory (LSTM) model, and advanced transformer models, including Strainformer and Vaxformer. The primary ...
  • Oberoi, Rishabh; Parikh, Darsh; Agarwal, Manas; Bagler, Ganesh (Advisor) (IIIT-Delhi, 2023-11-29)
    The convergence of artificial intelligence with creative expression has given rise to the emerging field of Computational Creativity, a domain that explores the capacity of machines to generate innovative and aesthetically ...
  • Popat, Meet; Jindal, Shourya; Bagler, Ganesh (Advisor) (IIIT-Delhi, 2023-11-29)
    We propose to build a framework for the generative grammar of cooking analogous to that of languages (Bagler, arXiv:2211.09059, 2022). By defining a cooking recipe as a finite state language, we intend to map elements of ...
  • Singh, Aayush; Chhillar, Yash; Chatterjee, Bapi (Advisor) (IIIT-Delhi, 2023-05-09)
    This research explores the concurrent implementation of range search operations on quadtrees using Versioning of the data structure. The proposed approach utilizes time-stamped versioned lists to maintain the state of each ...
  • Chaurasia, Yashasvi; Rangwani, Vishesh; Shah, Rinku (Advisor) (IIIT-Delhi, 2023-12-05)
    With an increase in use of applications that require custom data to be moved across networks and devices, there is an increasing use of different serialization techniques. There are several serialization alternatives ...
  • Sahu, Sahil; Jalote, Pankaj (Advisor); Sethi, Tavpritesh (Advisor) (IIIT-Delhi, 2023-11-29)
    Diabetes is a chronic illness that affects millions of people worldwide and requires regular monitoring of a patient’s blood glucose level. Currently, blood glucose is monitored by a minimally invasive process where a small ...
  • Saini, Manav; Akhtar, Md. Shad (Advisor) (2023-11-29)
    To address the issue of hate speech, the study proposes a novel method to retrieve counter speeches using templates. The templates are created by analyzing instances of hate speech in the CONAN dataset, which contains ...
  • Raina, Anjanay; Roy, Sayan Basu (Advisor) (IIIT-Delhi, 2023-11-29)
    The central focus of this project revolves around the comprehensive development and customization of a user-centric interface for optimizing the functionalities of QGroundControl (QGC) and Mission Planner (MP) in the field ...
  • Mishra, Anis; Bhattacharya, Arani (Advisor); Maity, Mukulika (Advisor); Das, Syamantak (Advisor) (IIIT-Delhi, 2023-12-09)
    We discuss the optimization of wireless network scheduling in smart factories, specifically focusing on data packets with varying deadlines and importance levels. The proposed solution involves utilizing IEEE 802.11ax (WiFi ...
  • Samota, Praveen Singh; Ray, Arjun (Advisor) (IIIT-Delhi, 2023-11-29)
    Maintaining lipid homeostasis, the equilibrium of lipid levels, including fats and cholesterol within cells and organisms, is vital for numerous physiological functions. Disruptions in lipid homeostasis, often spurred by ...
  • Pahuja, Jayan; Anand, Saket (Advisor) (IIIT-Delhi, 2023-11-29)
    This project focused on the deployment of a deep learning model for species categorization and retraining on the cloud using the YOLOv5x architecture. The goal was to create a web application that allows users to upload ...
  • Arora, Srijan; Gupta, Anubha (Advisor) (IIIT-Delhi, 2023-05-09)
    With the growing introduction of machine learning in critical domains such as healthcare, finance, law and other public services, the need for increased trust and understanding of these models is becoming paramount for ...
  • Singh, Aditya; Gupta, Anurag; Chatterjee, Bapi (Advisor) (IIIT-Delhi, 2023-11-29)
    Deva, a pioneering religious technology startup, presents an innovative solution to the evolving needs of Hindu religious practice in the digital age. This report delves into the multifaceted aspects of Deva’s mobile ...
  • Yadav, Arun; Ray, Arjun (Advisor) (IIIT-Delhi, 2023-11-29)
    This report presents a comprehensive analysis of revenue forecasting methods employed in the context of the hotel industry or business. The primary objective is to assess the effectiveness of various machine learning models ...
  • Bhattacharya, Aishiki; Sharma, Ojaswa (Advisor) (IIIT-Delhi, 2023-11-29)
    Differentiable Rendering combines the principles of differentiable programming and rendering pipelines. This report studies this emerging field by going through research papers and the functionalities of the Mitsuba renderer. ...
  • Aggarwal, Naman; Chakravarty, Sambuddho (Advisor); Samajder, Subhabrata (Advisor); Buduru, Arun Balaji (Advisor) (IIIT-Delhi, 2023-11-23)
    DIKE: is an online voting system which uses a private blockchain to securely cast and count the votes . The system addresses the issues in existing offline voting system revealing/compromising voter anonymity, partial vote ...
  • Choudhary, Aditya; Chak, Ayush Raje; Shah, Rajiv Ratn (Advisor) (IIIT-Delhi, 2023-11-23)
    A vast amount of data is produced by billions of modern devices each year. An effective Stream Processing Engine (SPE) is needed to arrange and handle this data. Among the well-known SPEs are Apache Hadoop, Apache Spark, ...

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