IIIT-Delhi Institutional Repository

Browsing Computer Science and Engineering by Title

Browsing Computer Science and Engineering by Title

Sort by: Order: Results:

  • Relative difficulty estimation in community answering services 
    Pandey, Adesh; Thukral, Deepak; Gupta, Rishabh; Goyal, Vikram (Advisor); Chakraborty, Tanmoy (Advisor) (IIIT-Delhi, 2017-11-16)
    Given a question on a crowd sourced Q&A platform, we tried to gauge the difficulty of the question. Earlier, we tried various NLP based techniques for this purpose. Now, we tried various graph models in order to model ...
  • Remedium - a platform to connect doctors, insurance and patients 
    Sharma, Utkarsh; Sethi, Tavpritesh (Advisor) (IIIT-Delhi, 2022-05)
    We propose a platform that connects Doctors, Insurance and Patients and in doing so provides them value that won’t be possible otherwise. We use the platform to store the longitudinal health record of the patient (with ...
  • Representing dimensional model in MongoDB 
    Gupta, Neha; Prakash, Naveen (Advisor) (IIIT-Delhi, 2020-05)
    Conventional data warehouse systems are implemented either on a multi-dimensional database or a relational database. While the earlier supports MOLAP operations, the other supports ROLAP operations. In this work, we used ...
  • REVERT: runtime verification for real-time systems 
    Kochanthara, Sangeeth; Purandare, Rahul (Advisor) (2016-11-01)
    Real-time systems are becoming more complex and open, thus increasing their development and verification costs. Although several static verification tools have been proposed over the last decades, they suffer from scalability ...
  • RGB-D face recognition in surveillance videos 
    Chowdhury, Anurag; Vatsa, Mayank (Advisor) (2016-09-20)
    Biometric analysis of surveillance videos carries inherent challenges in form of variations in pose, distance, illumination and expression. To address these variations, different methodologies are proposed, including ...
  • Ring fencing 
    Nangia, Aditya; Bhupal, Saksham; Mohania, Mukesh (Advisor) (IIIT-Delhi, 2023-10-29)
    In an era marked by unprecedented data growth and pervasive digital influence, ensuring model privacy is imperative as machine learning models gain prominence in diverse domains like healthcare, finance, and business. ...
  • Risk calculator for heart attack patients 
    Mohit; Gupta, Anubha (Advisor) (IIIT-Delhi, 2023-11-28)
    This study aims to enhance the accuracy of predicting the 30-day mortality rate among patients following their first heart attack by leveraging machine learning and deep learning techniques. The current cardiac risk ...
  • 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 ...
  • 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 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 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 ...
  • 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 ...

Search Repository


Advanced Search

Browse

My Account