Browsing Year-2020 by Title

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  • Active learning for visual wildlife monitoring 
    Srivatsav, Deepak Magesh; Anand, Saket (Advisor) (IIIT-Delhi, 2020-05-30)
    Wildlife monitoring and tracking are vital for the preservation of various wildlife species. Activities such as poaching and loss of habitat have made wildlife monitoring and tracking increasingly tricky. Modern-day ...
  • Analysing social media for COVID positive cases 
    Singhal, Sonali; Pandey, Tanisha; Kumaraguru, Ponnurangam (Advisor); Shah, Rajiv Ratn (Advisor) (IIIT- Delhi, 2020-05)
    The COVID19 pandemic, a public health emergency which broke out globally in December 2019 and is still going on, has put us all into an unprecedented situation where there are strict limitations on physical social interaction ...
  • Analysis and modelling of disfluency and as units for automatic scoring of L2 speakers 
    Mohan, Gandharv; Sharma, Akash; Shah, Rajiv Ratn (Advisor) (IIIT-Delhi, 2020-12)
    In this project, we attempt to understand how dis uencies in speech can be used in providing feedback for automated oral pro ciency scores in the context of spontaneous speech for L2 learn- ers of English. Our aim is to ...
  • Characterization of novel short proteins in the human microbiome 
    Mrinal; Gautam, Prutyay; Ray, Arjun (Advisor) (IIIT-Delhi, 2020-12)
    The project is based on applying Machine Learning tools and di erent analysis techniques to identify which protein features in metagenomes sampled from Human and Non-Human (other mammal species) microbiomes help them impart ...
  • Computer vision applications in wildlife conservation 
    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 ...
  • Detecting early signs of depression using user-generated data from social media 
    Suhavi; Shah, Rajiv Ratn (Advisor); Kumaraguru, Ponnurangam (Advisor) (IIIT-Delhi, 2020-05-29)
    Social media has now become the most popular medium for self-expression and community building. More and more people are turning to it to express, write, vent or just be while being comfortable doing so because it’s an ...
  • Detecting Iris spoofing attacks 
    Gupta, Mehak; Singh, Vishal; Vatsa, Mayank (Advisor); Singh, Richa (Advisor) (IIIT-Delhi, 2020-05-26)
    The deployment of biometrics features based person identification has increased significantly from border access to mobile unlock to electronic transactions. Iris recognition is considered as one of the most accurate ...
  • Developing an objective measure for research publications 
    Jain, Shubhi; Singh, Pushpendra (Advisor) (IIIT-Delhi, 2020-06-05)
    Using the publicly available data-sets and the surveys, we aim to design a web-portal that would be able to provide insights into venues that are considered important for research as well as information of researchers ...
  • Emoji analysis: a study on the use of skin tone modifiers on social media 
    Bansal, Tanmay; Kumaraguru, Ponnurangam (Advisor) (IIIT- Delhi, 2020-12)
    In 2015, Unicode introduced five different skin tone modifiers, that could be applied to the existing emojis that denoted humans. In this project, we analyze how people pose certain personalities using emoji skin colour ...
  • Filter-based reinforcement learning for adaptive optimal control of continuous-time dynamical systems 
    Kaur, Avneet; Roy, Sayan Basu (Advisor); Banerjee, Shilpak (Advisor) (IIIT-Delhi, 2020-06-02)
    The Report describes the Linear Quadratic Regulator(LQR) and the study of the linear systems on different types of systems i.e single agent and multi-agent systems.Different approaches are available for creating an optimal ...
  • Filter-based reinforcement learning for adaptive optimal control of continuous-time dynamical systems 
    Kaur, Avneet; Bharti, Moh; Roy, Sayan Basu (Advisor); Banerjee, Shilpak (Advisor) (IIIT-Delhi, 2020-06-02)
    The Report describes the Linear Quadratic Regulator(LQR) and the study of the linear systems on different types of systems i.e single agent and multi-agent systems.Different approaches are available for creating an optimal ...
  • 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 ...
  • Hide and seek: outwitting community detection algorithms 
    Mittal, Shravika; Chakraborty, Tanmoy (Advisor) (IIIT-Delhi, 2020-05-27)
    Community affiliation of a node plays an important role in determining its contextual position in the network, which may raise privacy concerns when a sensitive node wants to hide its identity in a network. Oftentimes, ...
  • Image repurposing detection 
    Kumar, Ashwat; Shah, Rajiv Ratn (Advisor) (IIIT-Delhi, 2020-06-01)
    Image Repurposing is a type multimedia manipulation in which instead of manipulating image and it’s content, manipulation is done on it’s associated modality. For example - image’s caption, location metadata, author ...
  • K-center problems 
    Ahuja, Yajur; Das, Syamantak (Advisor) (IIIT-DElhi, 2020-06-03)
    We consider a generalization of the classical K-center problem with capacities, demands, and outliers. The capacitated K-center problem adds a constraint to the original K-center problem of every vertex having a capacity ...
  • 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 ...
  • Malware detection through binary analysis 
    Maheshwary, Yashit; Kurian, Deepak; Buduru, Arun Balaji (Advisor) (IIIT-Delhi, 2020-05-29)
    Malware Detection is an important problem in modern day due to the increasing frequency of malware attacks using unknown malware strains. Unlike traditional detection techniques which require a signature for each sample, ...
  • Memory-efficient filter based policy iteration zero sum two player differential game for adaptive LQR 
    Singh, Mandeep; Roy, Sayan Basu (Advisor) (IIIT-Delhi, 2020-07)
    A memory efficient filter based iterative algorithm is proposed for a two-player zero sum linear differential game problem arising in the control of process systems affected by disturbances.The objective in such a scenario ...
  • Multimodal deep learning 
    Sood, Raghav; Vatsa, Mayank (Advisor); Singh, Richa (Advisor) (2020-05-31)
    Modality refers to how something happens or is experienced. It is the representation format in which information is stored. Multimodal Learning involves relating information from multiple sources. Many modalities are ...

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