Browsing by Title

Sort by: Order: Results:

  • 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 ...
  • Resource allocation problems in G.fast and enterprise Wi-Fi networks 
    Raj, Ankita; Biyani, Pravesh (Advisor) (2016-09-13)
    This thesis addresses resource allocation problems in two different domains: G.fast and Wi-Fi. One of the key challenges in G.fast is to minimize power consumption at the distribution points. G.fast standards define ...
  • Resource allocation using reinforcement learning 
    Srinivasan, Shriya; Girish, Vaibhav; Sethi, Tavpritesh (Advisor) (IIIT-Delhi, 2022-05)
    Resource allocation is a problem that requires complex decision making. Our focus is to solve this problem in the healthcare sector using Reinforcement Learning. We propose an RL pipeline that starts with a sequential ...
  • Resource sharing platform (ShareIIITD) 
    Gupta, Anmol; Kumar Singh, Sandeep; Shah, Rajiv Ratn (Advisor) (IIIT-Delhi, 2021-12)
    We often feel that a need exists for a platform to facilitate sharing of resources within the IIITD community. Resources are not necessarily limited to material objects and can range from books and electronic items to ...
  • 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 ...
  • RFSoc based high speed frequency spectrum analyzer 
    Lohana, Nishita Bharat; Darak, Sumit J (Advisor) (IIIT-Delhi, 2025-07-18)
    This project focuses on the characterization of wideband signals and the identification of un- known transmissions in dynamic wireless environments. As modern Software Defined Radios (SDRs) advance, traditional systems ...
  • 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. ...
  • RIS aided B5G V2V solution for road safety applications 
    Pal, Tathagat; Bohara, Vivek Ashok (Advisor); Srivastava, Anand (Advisor) (IIIT-Delhi, 2022-12)
    Terahertz (THz) communication is a viable technology for the 6G wireless networks. THz frequencies often have a limited coverage area because of their extremely high spread attenuation and molecular absorption. Consequently, ...
  • 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 
    Sibin; Vaishnavi; 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 
    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 ...
  • Road accident detection 
    Sanjana; Shah, Rajiv Ratn (Advisor) (IIIT-Delhi, 2024-11-28)
    Road accidents pose a significant public safety concern in India, leading to substantial loss of life and numerous injuries each year. This project delves into existing literature and global practices to assess accident ...
  • 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 ...
  • ROBIFY 
    Jain, Aryan; Grover, Anuj (Advisor) (IIIT-Delhi, 2024-11-27)
    Robify is an innovative educational and e-commerce platform designed to bridge the gap be- tween theoretical STEM knowledge and practical application through hands-on robotics and IoT learning solutions. Founded in 2023, ...
  • 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, ...

Search Repository

Browse

My Account