IIIT-Delhi Institutional Repository

Browsing Computer Science and Engineering by Title

Browsing Computer Science and Engineering by Title

Sort by: Order: Results:

  • KIRKE re-engineering of web applications to mobile apps 
    Mehra, Rohit; Naik, Vinayak (Advisor) (2015-12-03)
    A large number of web applications are written using server-side scripting languages. Although web browsers allow clients to run these applications, it is often cumbersome to depend on the desktops for the services ...
  • Knowledge graph assisted extreme summarization of scientific documents in hyperbolic space 
    Mukherjee, Asmita; Chakraborty, Tanmoy (Advisor); Akhtar, Md. Shad (Advisor) (IIIT-Delhi, 2022-12)
    A research paper is a document that presents an original work and introduces new concepts and makes interconnections between them via arguments and statements. Extreme Summarization involves high compression of the information ...
  • Knowledge graph construction from text 
    Saini, Vipul; Mutharaju, Vijaya Raghava (Advisor); Chakraborty, Tanmoy (Advisor) (IIIT-Delhi, 2020-06-05)
    Knowledge graphs have become quite popular and their utility is increasing at a very fast rate. There exist numerous extensive knowledge graphs that contain information on a plethora of topics. With new information ...
  • Knowledge graphs In medical domain 
    Anand, Gyanesh; Shah, Rajiv Ratn (Advisor); Mutharaju, Vijaya Raghava (Advisor) (IIIT-Delhi, 2020-05-31)
    With the explosion of healthcare information, there has been a tremendous amount of heterogeneous Textual Medical Knowledge(TMK), which plays an essential role in healthcare information systems. Existing works for integrating ...
  • 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, ...
  • 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 ...
  • 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 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 in cancer genomics 
    Gupta, Taejas; Gupta, Anubha (Advisor) (IIITD-Delhi, 2019-04-28)
    Cancer is caused by an increased amount of cell growth in an area due to alterations in protein synthesis caused by mutations in certain genes known as cancer driver genes. Determining the gene regulatory network for the ...

Search Repository


Advanced Search

Browse

My Account