IIIT-Delhi Institutional Repository

Browsing Computer Science and Engineering by Title

Browsing Computer Science and Engineering by Title

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  • Label constrained shortest path estimation on large graphs 
    Likhyani, Ankita; Bedathur, Srikanta (Advisor) (2015-06-18)
    In applications arising in massive on-line social networks, biological networks, and knowledge graphs it is often required to find shortest length path between two given nodes. Recent results have addressed the problem of ...
  • Latent fingerprint matching 
    Sankaran, Anush; Vatsa, Mayank; Singh, Richa (2015-01-27)
    Latent fingerprint comparison evidences are used in the court of law for more than 100 years. Manual matching of latent fingerprints is challenged by subjectivity and inconsistency in terms of results and is not scalable ...
  • Learning algorithms for multi-tasks of unconstrained fingerprint recognition 
    Malhotra, Aakarsh; Vatsa, Mayank (advisor); Singh, Richa (advisor) (IIIT-Delhi, 2024-01)
    Attributed to extensive acceptance and research, lives can and inked fingerprints are successfully used for human recognition. However, applications such as contactless biometrics amidst the pandemic and crime scene ...
  • Learning content curation and enrichment 
    V, Venktesh; Mohania, Mukesh (Advisor); Goyal, Vikram (Advisor) (IIIT-Delhi, 2023-03)
    Education in traditional classroom settings was restricted to static content in textbooks. It also assumes all the learners have a similar pace of learning. Online learning platforms have shifted the paradigm and have made ...
  • Learning representations for matching fingerprint variants 
    Sankaran, Anush; Vatsa, Mayank (Advisor); Singh, Richa (Advisor) (IIIT-Delhi, 2017-02)
    Fingerprint recognition has evolved over the decades, providing innumerable applications for improving the modern day security. Based on the method of capture, fingerprints can be classified into four variants: inked, ...
  • Learning speaker, emotion, age, and gender information through disentanglement of speech pre-trained representations 
    Koshal, Devyani; Buduru, Arun Balaji (Advisor) (IIIT-Delhi, 2023-11-29)
    Forensic speech science, rooted in acoustics, plays a key role in legal investigations. Among its diverse applications, automatic speaker recognition (ASR) stands as a primary task within forensic speech analysis followed ...
  • Legal text processing 
    Wadhwa, Pritish; Satija, Gitansh Raj; Shah, Rajiv Ratn (Advisor) (IIIT-Delhi, 2022-07)
    Legal Domain has been explored by the scientific community only upto a limited extent. While there is some amount of research available in the United States of America, the amount of research in India in the same domain ...
  • Leveraging machine learning in identification of biomarkers for cancer diagnosis and personalized therapy recommendation 
    Goswami, Chitrita; Sengupta, Debarka (Advisor) (IIIT-Delhi, 2023-02)
    In an era where machine learning (ML) is changing the landscape of financial markets, education, security and privacy, the retail sector, and many other crucial aspects of human life, it is only fitting that we should use ...
  • Leveraging the external resources and meta-data to highlight the gap between a programs’s implementation and its documentation 
    Sondhi, Devika; Purandare, Rahul (Advisor) (IIIT- Delhi, 2021-06)
    With the ever-growing dependency on software, testing for their unexpected behavior is as important as verifying for their known properties, to avoid potential losses. Existing software testing approaches assume either ...
  • Light weight code - mix neural machine translation 
    Bansal, Subhanshu; Akhtar, Md. Shad (Advisor) (IIIT-Delhi, 2023-11-29)
    In the contemporary multilingual landscape of online communication, the emergence of codemixed language, the seamless integration of multiple languages within a single utterance, has become increasingly prevalent. The ...
  • LLMs in healthcare 
    Mishra, Prateek; Raina, Aryaman; Goyal, Harshit; Kumar, Dhruv (Advisor) (IIIT-Delhi, 2023-11-29)
    This paper explores the integration of Large Language Models (LLMs), in the healthcare domain, focusing on improving accessibility, medication management, and public health awareness. The research investigates the ...
  • LLVM backend development for ReISC architecture 
    Gupta, Pooja; Guha, Apala (Advisor) (2015-12-02)
    In today's complex environment, it is very crucial for the devices to feature low power consumption at allow cost. Internet of things is predicted to bring an era where everything will have chips embedded in them, be it ...
  • Local citation recommendation for scientific research papers 
    Jindal, Shivam; Goyal, Sourav; Goyal, Vikram (Advisor) (IIIT-Delhi, 2023-11-28)
    This project aims to design and develop a local citation recommendation system. The system is designed to assist users in recommending accurate and relevant citations for their scientific research papers. It can save time ...
  • Local re-adjustment based approaches for load balanced network voronoi diagram 
    Mehta, Ankita; Gunturi, Venkata M. Viswanath (Advisor) (2017-05)
    Input to the Load Balanced Network Voronoi Diagram (LBNVD) consists of the following: (a) a transportation network represented as a directed graph; (b) locations of public service units (e.g., schools in a city) as vertices ...
  • Location privacy in MobiShare 
    Soubam, Sonia; Naik, Vinayak (Advisor) (2013-05-30)
    This work focuses on providing privacy in MobiShare, which is a location-based service that assists users in searching and sharing files. A user’s mobility profile is summarization of its raw mobility data in terms of ...
  • Long document keyphrase extraction 
    Gautam, Dibya; Agrawal, Navneet (IIIT-Delhi, 2021-11)
    Keyphrase extraction is the task of automatically extracting a set of phrases from a document that represents the overall context of the given document. Such keyphrases can be used in multiple ways in Information retrieval, ...
  • Low energy and sufficiently accurate localization for non-smartphones 
    Yadav, Kuldeep; Naik, Vinayak; Singh, Amarjeet; Singh, Pushpendra (2012-03-14)
    Location-aware applications are steadily gaining popularity across the world. However lack of GPS in low-end programmable phones (< $100) and general absence of Wi-Fi infrastructure in developing countries prevents users ...
  • Low rank group sparse representation based adaptive face recognition 
    Yadav, Shivangi; Vatsa, Mayank (Advisor) (2016-09-13)
    Face recognition is an important area of research due to its requirement in our day-to-day life, be it surveillance or authentication. Current advancements in technology and computational power have shown promising results ...
  • Low resource language processing 
    Kumar, Tanya Sanjay; Shah, Rajiv Ratn (Advisor); K, Sarveswaran (Advisor) (IIIT-Delhi, 2022-05)
    Natural Language Processing has been one of the most important domain in computer linguistics in today’s world. Though there are various efficiently performing tools and models for various NLP subtasks for English, Indic ...
  • Machine learning for intensive care units 
    Sehgal, Rahul; Sethi, Tavpritesh (Advisor) (IIIT-Delhi, 2023-11-29)
    Intensive Care Units (ICUs) generate extensive time series data, particularly patient vitals, holding immense potential for meaningful insights crucial for timely interventions and enhanced patient outcomes. Conventional ...

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