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  • RNN based molecule generation for developing novel therapeutics for neurodegenerative diseases 
    Vaishnavi; Sibin, K.; Murugan, N. Arul (Advisor) (IIIT-Delhi, 2023-11-29)
    Neurodegenerative diseases pose a significant global health challenge, necessitating innovative approaches for drug discovery. This study explores the application of recurrent neural networks (RNNs) in the generation of ...
  • RNN based molecule generation for developing novel therapeutics for neurodegenerative diseases 
    Sibin; Vaishnavi; Murugan, Arul (Advisor) (IIIT-Delhi, 2023-11-29)
    Neurodegenerative diseases pose a significant global health challenge, necessitating innovative approaches for drug discovery. This study explores the application of recurrent neural networks (RNNs) in the generation of ...
  • The road not taken : re-thinking the feasibility of voice calling over tor 
    Sharma, Piyush Kumar; Chaudhary, Shashwat; Hassija, Nikhil; Maity, Mukulika; Chakravarty, Sambuddho (IIIT-Delhi, 2019)
    Anonymous VoIP calls over the Internet holds great significance for privacy-conscious users, whistle-blowers and political activists alike. Prior research deems popular anonymization systems like Tor unsuitable for providing ...
  • Robust and traffic analysis resistant cloud file system 
    Gupta, Madhvi; Nagaraja, Shishir (Advisor) (2012-10-17)
    With improved technology, every user now generates huge amount of data that requires ever increasing amount of space to store it. It is not economical for the users to purchase new storage device every time. As a remedy ...
  • Robust autoencoders 
    Mehta, Janki; Majumdar, Angshul (Advisor) (2016-09-13)
    An autoencoder is an artificial neural network used for learning efficient codings. The aim of an autoencoder is to learn a representation of data, which can then be used for better classification or any such application. ...
  • Robust deep learning 
    Madan, Anish; Anand, Saket (Advisor) (IIITD-Delhi, 2019-04-16)
    Machine Learning models are deployed in various tasks including image classification, malware detection, network intrusion detection, etc. But recent work has demonstrated that even state-of-the-art deep neural networks, ...
  • Robust fake news detection 
    Gautam, Akansha; Jerripothula, Koteswar Rao (Advisor) (IIIT- Delhi, 2021-06)
    Recently, news consumption using online news portals has increased exponentially due to several reasons, such as low cost and easy accessibility. However, such online platforms inadvertently also become the cause of spreading ...
  • Robust OCR for information extraction from retail flyers 
    Singh, Shashank Shekhar; Singh, Abhijeet; Shah, Rajiv Ratn (Advisor) (IIIT-Delhi, 2023-11-29)
    This report explores the augmentation of the RanLayNet research paper by addressing limitations in existing datasets for domain adaptation. Through a comprehensive analysis of Ran- LayNet, PubLayNet, and DocLayNet papers, ...
  • Robust scene understanding 
    Tiwari, Lokender; Anand, Saket (Advisor) (IIIT-Delhi, 2021)
    A scene can be interpreted from two perspectives: geometric and semantic. Geometric scene understanding requires inferring the3D layout of the scene from an image or video, while semantic scene understanding requires ...
  • Robustness of foundational models for hate speech detection: analyzing pretraining dynamics and finetuning settings 
    Khan, Mohammad Aflah; Akhtar, Md. Shad (Advisor) (IIIT-Delhi, 2023-11-29)
    Despite the widespread adoption, there is a lack of research into how various critical aspects of LLMs affect their performance in hate speech detection. Through five research questions, our findings and recommendations ...
  • Route detection of DTC buses and Delhi pollution analysis 
    Mozumdar, Aaloke; Biyani, Pravesh (Advisor) (IIIT-Delhi, 2022-05)
    The bus location data received by Chartr from DTC does not have information about the route that buses are on at a particular time of the day. This information creates a major hindrance in unifying the data with the location ...
  • Routing under the hood : analysing the impact of growing CDNs on network paths and anti-censiorship approaches 
    Mohindra, Mayank; Chakravarty, Sambuddho (Advisor) (IIITD-Delhi, 2019-04-21)
    Due to the proliferation of CDNs with edge networks, the known hierarchical model of the Internet is gradually changing. Very recently, it has been demonstrated that CDNs have become part of the Internet core [5]. There ...
  • Safar - reimagining cultural heritage tourism with augmented reality: a case study of Qutub minar, Delhi 
    Monteiro, Cyrus; R, Ipsita; Bhargava, Prakhar; Srivastava, Anmol (Advisor) (IIIT-Delhi, 2023-11-29)
    This research project explores the transformative impact of Augmented Reality (AR) technology on cultural heritage tourism, focusing on the Qutub Minar complex in Delhi, India. The innovative AR application developed aims ...
  • Saksham project BackEnd system 
    Nandini; Singh, Pushpendra (Advisor); Gupta, Swati (Advisor) (IIIT-Delhi, 2022-05)
    Mental illness is one of the growing concerns across the world. According to WHO, mental health patients are more likely to receive lower quality of health and social care. Many researchers have leveraged mobile technology ...
  • SANAYOJAN : a framework for traceability link recovery between use-cases in software requirement specification and regulatory documents 
    Jain, Ritika; Sureka, Ashish (Advisor) (2014-02-19)
    User requirement speci cation (URS) documents written in the form of free-form natural lan- guage text contain system use-case descriptions as one of the elements in the URS. For few application domains, some of the ...
  • Sangoshthi: a mobile learning platform for community health workers in india 
    Jain, Varun; Singh, Pushpendra (Advisor) (IIIT-Delhi, 2018-04-19)
    The Government of India started its flagship programme 'ASHA' under the National Rural Health Mission (NRHM) which delivers health care services to the rural population and has a key focus on pregnable sections like women ...
  • SARATHI : characterization study on regression bugs and identi cation of regression bug inducing changes: a case-study on Google chromium project 
    Khattar, Manisha; Sureka, Ashish (Advisor) (2014-10-16)
    Software regression bugs are de ned as defects which occur, when a previously working software feature or functionality stops behaving as intended. One of the reasons for regression bugs is code changes or system patching ...
  • Sarcasm explanation in multimodal dialogues 
    Vaibhav, Shashwat; Akhtar, Md. Shad (Advisor) (IIIT-Delhi, 2022-12)
    Sarcasm is a means to convey ridicule or contempt. There has been a plethora of work in sentiment analysis, of which sarcasm is one of the most challenging tasks due to the incongruity between the surface level and the ...
  • Satellite selection, satellite orbit interpolation and prediction for GNSS based positioning 
    Agrawal, Archit; Biswas, Sanat (Advisor) (IIIT-Delhi, 2022-05)
    Modern infrastructure and a myriad of services rely on the ability to generate precise position using GPS. Although, generating precise position using GPS is a complex multi step process involving selecting satellites, ...
  • Scalable algorithms for spatial-textual data join 
    Gupta, Vivek; Goyal, Vikram (Advisor) (2015-05-27)
    Spatio-textual similarity join retrieves a set of pairs of objects wherein objects in each pair are close in spatial as well as textual dimensions. A lot of work has been done in the spatial dimension but no work has been ...

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