IIIT-Delhi Institutional Repository

Browsing BTech Projects by Title

Browsing BTech Projects 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 ...
  • Vinayak (IIIT- Delhi, 2021-06)
    Clique counting is a well studied problem in low memory models like graph streaming. There are algorithms which provide good space complexity bounds for general graphs. For constant pass, approximation algorithms counting ...
  • Goel, Pulkit; Anand, Saket (Advisor); Fell, Alexander (Advisor) (IIITD-Delhi, 2019-04-28)
    Deep learning neural networks have revolutionized the elds of Computer Vision, Robotics, Artifi cial Intelligence. However, these State of the art algorithms come at a high computational cost, huge memory requirements and ...
  • Khan, Ruhma Mehek; Gupta, Ria; Shukla, Jainendra (Advisor); Bera, Aniket (Advisor) (IIIT-Delhi, 2021-12-14)
    Humans make use of gestures while interacting to enhance the effectiveness of their communication. With the increasing use of virtual agents and humanoid robots, researchers have been trying to make the virtual agents more ...
  • Khan, Ruhma Mehek; Gupta, Ria; Shukla, Jainendra (Advisor) (IIIT-Delhi, 2021-03-17)
    Humans make use of gestures while interacting to enhance the effectiveness of their communication. With the increasing use of humanoid robots and virtual agents, researchers have been trying to make the robots more human-like, ...
  • Malhotra, Hrithik; Purandare, Rahul (Advisor) (IIIT-Delhi, 2021-12)
    Code clones are duplicate code fragments that share (nearly) similar syntax or semantics. Code clone detection plays an important role in software maintenance, code refactoring, and reuse. Most of the techniques for code ...
  • Tanwar, Tanmay Prashansa; Gupta, Anubha (Advisor) (IIIT-Delhi, 2021-05)
    Working Memory is the small amount of information that is stored in the brain long enough for humans to use it. It is important in many cognitive functions and aids in problem solving. The Working memory task performance ...
  • Collab VR 
    Panchal, Dushyant; Kapur, Ishan; Parnami, Aman (Advisor) (IIIT-Delhi, 2022-05)
    Virtual 3D immersive collaborative systems for remote collaboration are on the rise due to the tough times of COVID 19, where people are forced to work remotely. However, it is a cumbersome task to explore and figure out ...
  • Goel, Mansi; Garcia, David (Advisor); Kumaraguru, Ponnurangam (Advisor) (IIIT-Delhi, 2017-11-16)
    In online social networks, users may choose to keep a lot of important information in the private domain. Users may choose to hide their location, gender, interests, and affiliations. With usage of social networks and ...
  • 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 ...
  • Anderson, Nihesh; Arora, Kushagra; Raman, Rajiv (Advisor); Das, Syamantak (Advisor) (IIITD-Delhi, 2019-04-15)
    Given a metric space X, a set of clients C X, and a set of facilities F X, such that X = F S C. the fault-tolerant k-median problem (FTM) requires to open k facilities in F so as to minimize the sum of distances from each ...
  • Agrawal, Chaitanya; Das, Syamantak (Advisor); Chakraborty, Tanmoy (Advisor) (IIIT-Delhi, 2019-11-15)
    We are trying to devise a community detection algorithm for networks through modularity maximization. In this semester we further studied and understood the modularity function. We have explored semi-supervised active ...
  • 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 ...
  • Sharma, Soumya; Naik, Vinayak (Advisor) (2016-11-17)
    With multiple mobile applications for a single function in the market, there is a need to look into the resources the application utilizes as well. In this study, we focus on which resources a particular mobile application ...
  • 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 ...
  • Aggrawal, Palash; Anand, Saket (Advisor) (IIIT-Delhi, 2020)
    Monitoring of protected areas to curb illegal activities like poaching and animal trafficking is a monumental task. To augment existing manual patrolling efforts, unmanned aerial surveillance using visible and thermal ...
  • 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 ...
  • Kalra, Harshvardhan; Vatsa, Mayank (Advisor); Singh, Richa (Advisor) (IIIT-Delhi, 2018-07-06)
    Current face recognition systems make extensive use of class-wise disparate features drawn from faces in order to achieve state-of-the-art performances. However, there exists a multitude of information in a given image ...

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