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  • Rout, Sidhartha Sankar; Deb, Sujay (Advisor) (2014-07-10)
    The growing technology scaling and larger die size of multi-processor System-on-Chip (SoC) have increased the error rates for on-chip memories. Increased system speed for high performance, aggressive voltage scaling for ...
  • 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 ...
  • Kushwah, Nikhil; Bhattacharya, Arani (Advisor) (IIIT-Delhi, 2022-12)
    A wheel file is a pre-compiled package that can be installed with pip, which is the package manager for Python. This can make installing and using certain modules on a Raspberry Pi much easier, eliminating the need to ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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. ...
  • 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, ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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. ...
  • 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, ...
  • 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 ...
  • 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, ...

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