IIIT-Delhi Institutional Repository

Browsing Computer Science and Engineering by Title

Browsing Computer Science and Engineering by Title

Sort by: Order: Results:

  • Forecasting hate intensity of reply threads on twitter 
    Snehil; Chakraborty, Tanmoy (Advisor); Akhtar, Md. Shad (Advisor) (IIIT- Delhi, 2021-07)
    Curbing hate speech is undoubtedly a major challenge for online microblogging platforms like Twitter. While there have been studies around hate speech detection, it is not clear how hate speech finds its way into an online ...
  • Forensics enabled secure mobile computing system for enterprises 
    Govindaraj, Jayaprakash; Gupta, Gaurav (Advisor); Chang, Donghoon (Advisor) (IIIT-Delhi, 2018-05)
    The enterprises are facing constant security threats with the emergence of new mobile computing devices like smartphones, smartwatches, and wearables. The existing digital forensic enabled security solutions are not able ...
  • Fragmentation mitigation for C+L band in elastic optical networks 
    Singh, Abhishek Pratap; Mitra, Abhijit (Advisor); Srivastava, Anand (Advisor) (IIIT-Delhi, 2021-05)
    The extensive growth in the demand for network bandwidth has created new challenges for net- work operators in the last few years. Traditional optical network technology is no longer enough to handle the massive bandwidth ...
  • Framework to fi nd hairball structure in enterprise data integration repositories 
    Jain, Shilpi; Goyal, Vikram (Advisor) (2014-07-10)
    In the current changing trends, collaboration between di erent organizations or consolidation between applications of the same organization has become a common phenomenon. In order to achieve strategic business objectives ...
  • Fraud detection in the google playstore and apple appstore 
    Jain, Ayushi; Kumaraguru, Ponnurangam (Advisor) (IIIT-Delhi, 2022-05)
    Millions of mobile apps are downloaded and used by users throughout the world. For many developers, these apps are the source of their income. Given that there is monetary aspect attached to applications, this gives rise ...
  • Game design and procedural asset creation in unreal and houdini 
    Rattey, Hemant; Prashant; Moyers Jr., Timothy Scott (Advisor) (IIITD-Delhi, 2019-11-26)
    Making games is a comparatively new eld which demands technical as well as creative ability. Game Development is increasingly becoming popular among millennials. Developing a game involves designing the levels, programming ...
  • Gender classification using RGB-D videos 
    Agrawal, Navin; Singh, Richa (Advisor); Vatsa, Mayank (Advisor) (2016-09-13)
    Gender classification is used in applications as a soft feature or attribute in biometrics to help identify people. Using gender classification as an indexing technique can boost the performance of facial-biometric. If the ...
  • Geo-localization and location-aware opportunistic communication for mobile phones 
    Yadav, Kuldeep; Naik, Vinayak (Advisor); Singh, Pushpendra (Advisor); Singh, Amarjeet (Advisor) (2014-01-21)
    Location-based mobile applications are steadily gaining popularity across the world. These applications require information about user's current location to access different kind of services. However, location-based ...
  • Geographical bias in GitHub : perceptions and reality 
    Rastogi, Ayushi; Nagappan, Nachiappan; Gousios, Georgios (2016-01-11)
    Open source development has often been considered to be a level playing field for all developers. But there has been little work to investigate if bias plays any role in getting contributions accepted. The work presented ...
  • Geographical visualization approach to perceive spatial scan statistics : an analysis of dengue fever outbreaks in Delhi 
    Mala, Shuchi; Sengupta, Raja (Advisor) (2013-11-25)
    In India, there is a strong need of a nation-wide disease surveillance system. As of now there are very few surveillance systems in India to detect disease outbreaks. IDSP (Integrated Disease Surveillance Project) was ...
  • Geometry driven disentangled representation learning 
    Gupta, Devansh; Chhabra, Parth; Anand, Saket (Advisor); Kalyanaraman, Kaushik (Advisor) (2021-11)
    In machine learning, disentangling factors of variation lead to robust latent space representations and improve the efficacy of various downstream tasks like classification, prediction etc. Disentangling representations ...
  • Geometry of banach spaces 
    Himanshu; Pandey, Satish Kumar (Advisor) (IIIT-Delhi, 2022-05)
    While the project is about general exploration of geometry of Banach spaces, we plan to look carefully at the following two questions: 1. Does every infinite-dimensional Banach space contain an infinite dimensional reflexive ...
  • Grammatical error annotation tool for Hindi 
    Singhal, Anmol; Oberoi, Tejas; Shah, Rajiv Ratn (Advisor) (IIIT- Delhi, 2021-05)
    In recent years, researchers have started putting in extensive efforts for Natural Language Pro- cessing (NLP) in the context of Indic Languages like Hindi. Tasks like Spell and Grammar Correction, which have been ...
  • Guillotine cuts 
    Mahajan, Sahil; Raman, Rajiv (Advisor) (2016-09-13)
    In guillotine cut problem, we are given non-intersecting convex sets in the plane and we are allowed straight line cuts. If a cut passes through an object, it kills that object. Can one always save a constant fraction or ...
  • Guillotine cuts & pattern avoidance in permutations 
    Jain, Siddhartha; Raman, Rajiv (Advisor); Ram, Samrith (Advisor) (IIITD-Delhi, 2019-04-15)
    Given a set of axis-parallel rectangles on a plane, can you cut out a constant fraction of them using only Guillotine cuts? We try to answer this question in the project. The general problem of cutting out convex sets was ...
  • HandWash - IoT 
    Garg, Mannika; Singh, Pushpendra (Advisor) (IIIT-Delhi, 2020-05-31)
    Lack of hand-hygiene is one of the major causes of the spread of various bacterial diseases. Proper hand hygiene can be pivotal in the prevention of such healthcare-associated infections. In this project, we come up with ...
  • Hardening deep neural networks via adversarial model cascades 
    Suri, Anshuman; Kumaraguru, Ponnurangam (Advisor) (IIIT-Delhi, 2018-04-18)
    Deep neural networks (DNNs) have been shown to be vulnerable to adversarial examples - malicious inputs which are crafted by the adversary to induce the trained model to produce erroneous outputs. This vulnerability has ...
  • Harmful meme diffusion 
    Vigneshwar, Palani; Akhtar, Md. Shad (Advisor); Chakraborty, Tanmoy (Advisor) (IIIT-Delhi, 2023-05)
    With the widespread use of social media platforms, virality has become a fascinating subject for researchers. Content-based research emphasizes the role of content characteristics in predicting virality, such as the type ...
  • Harmony: mHealth framework for managing severe mental illnesses 
    Jain, Abhishek; Jain, Siddharth; Singh, Pushpendra (Advisor) (2017-04-18)
    In India, patients with severe mental illnesses (SMI) generally have their family members as caregivers. It becomes difficult for the caregiver to monitor the patients activites and behavior closely and communicate the ...
  • Harnessing auxiliary information : new methods to improve person identification 
    Bharadwaj, Samarth; Vatsa, Mayank (Advisor); Singh, Richa (Advisor) (2015-09-02)
    Large scale biometric identification systems still lack the versatility to handle challenging situations such as adverse imaging conditions, missing or corrupt data, and non-conventional operating scenarios. It is well ...

Search Repository


Advanced Search

Browse

My Account