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  • d.Rx: moving prescriptions to digital age 
    Ujjainia, Anjali; Singhal, Nikhil; Babbar, Karishma; Upadhyaya, Utkarsh; Jha, Prashant (Advisor) (2017)
    This project is in continuation with the previous semester. The previous semester's work revolved around understanding the Indian health care system, with the primary focus on all aspects related to prescriptions. This is ...
  • DAG-LIME : causal interpretability using directed acyclic graphs 
    Verma, Khushali; Prasad, Ranjitha (Advisor) (IIIT-Delhi, 2022-05)
    Widely adapted locally interpretable methods such as LIME [20] and SHAP [12] fail to capture the underlying causal relationships between the variables. They merely capture the linear and non-linear associations. These ...
  • Dark patterns 
    Singh, Pragya; Eden, Grace (Advisor) (IIIT-Delhi, 2021-11)
    Dark patterns are user interfaces that are purposefully designed to manipulate users into taking certain actions in order to benefit a company or an organisation and are not in the user’s best interest. This report documents ...
  • Data constrained deep learning 
    Keshari, Rohit; Singh, Richa (Advisor); Vatsa, Mayank (Advisor) (IIIT-Delhi, 2024-03)
    Deep Neural Networks (DNNs) have achieved remarkable success across various machine learning and computer vision tasks, especially when abundant training samples are available. In Convolutional Neural Network (CNN) research, ...
  • Data driven analysis of Wi-Fi networks 
    Kesar, Devishi; Kaul, Sanjit Krishnan (Advisor); Maity, Mukulika (Advisor) (IIITD-Delhi, 2018-11-26)
    With the increase in demand for enterprise wi- , there is a growing need to understand the functioning of these networks. Large scale Wi-Fi deployment is a challenging task. There is a need to diagnose network related ...
  • Data modeling of financial crises 
    Eshita; Kanjilal, Kiriti (Advisor) (IIIT-Delhi, 2020-12)
    The COVID-19 crisis has made it clear that even for developed economies, like the USA, severe nancial disruptions can drag down the whole economy. It is considered the worst nancial crisis since the Great Depression. As ...
  • Data quality and privacy action 
    Thulasidoss, Bharath Kumar; Garimella, Pavan Kumar; Sethi, Tavpritesh (Advisor); Kumaraguru, Ponnurangam (Advisor) (IIIT- Delhi, 2021-05)
    In an era where the volume of data sets for a particular topic keeps increasing, it is necessary to have quality checks on the data to keep it relevant to modern learning algorithms. Quality parameters provide an objective ...
  • Data-driven detection and isolation of wear-induced faults in industrial robot 
    V, Sathish; Butail, Sachit (Advisor); Orkisz, Michal (Advisor) (IIIT-Delhi, 2021-02)
    Industrial robots are complex systems that require technical expertise for condition monitoring and diagnostics. In small and medium scale industries, adequate skilled resources may not be available to monitor the robots ...
  • Data-driven exploration of cross-body site interactions between oral and gut microbiome 
    Mahajan, Sakshi; Ghosh, Tarini Shankar (Advisor) (IIIT-Delhi, 2024-05-20)
    This study investigates the link between the oral and gut microbiome, two highly diverse microbial communities with established connections to human health. We per formed meta-analysis on across those studies containing ...
  • Data-driven thermostats : for feedback, comfort, and reliability 
    Jain, Milan; Singh, Amarjeet (Advisor); Chandan, Vikas (Advisor) (IIIT-Delhi, 2019-03)
    In buildings, air conditioning consumes a significant proportion of the aggregate electricity bill. Specifically, in residential and small-scale commercial buildings, people prefer to use room-level ACs (AC stands for Air ...
  • Database on bacterial vaccines and prediction of bacterial protective antigens 
    Gupta, Satakshi; Raghava, Gajendra Pal Singh (Advisor) (IIIT-Delhi, 2022-06)
    Bacterial diseases are the reason for millions of deaths worldwide thus preventing them is very important. Vaccines are the most cost-effective prevention against many infectious diseases. There are different kinds of ...
  • Dceiphering the heterogeneity of three-dimensional volumes using cryo-electron microscopy 
    Saini, Chandan; Kumar, Vibhor (Advisor) (IIIT-Delhi, 2023-05)
    The cryo-electron microscopy (cryo-EM) technique captures 2D projections of biological structures, revealing their inherent Heterogeneity arising from structural flexibility, conformational changes, and distinct functional ...
  • A deadline-aware scheduler for smart factory using wifi 6 
    Mishra, Anis; Bhattacharya, Arani (Advisor); Maity, Mukulika (Advisor); Das, Syamantak (Advisor) (IIIT-Delhi, 2023-12-09)
    We discuss the optimization of wireless network scheduling in smart factories, specifically focusing on data packets with varying deadlines and importance levels. The proposed solution involves utilizing IEEE 802.11ax (WiFi ...
  • Decentralized education system - DESy 
    Gupta, Pratham; Mohania, Mukesh (Advisor); Garg, Anuj (Advisor) (IIIT-Delhi, 2022-05)
    Education is now often regarded as the most important contributor to a country’s economic prosperity and stability. Digitalization plays a key part in the development and progress of every area in today’s world. The education ...
  • Decentralized federated learning in wireless networks 
    Sohini, Ayush Madhan; Dominic, Divin; Prasad, Ranjitha (Advisor) (IIIT- Delhi, 2022-12)
    Current wireless applications such as autonomous driving, UAVs, IOT devices, etc. generate massive amounts of data that can be utilized to train machine learning models for decision making. Privacy, security and bandwidth ...
  • Decentralized federated learning in wireless networks 
    Kumari, Pooja; Prasad, Ranjitha (Advisor) (IIIT-Delhi, 2022-12)
    In today’s world, Machine learning and deep learning has changed the vision in CS/IT fields. It is continuously exciting us in different ways, giving us amazing results and solving many problems in different fields. With ...
  • Deciphering genetic bias underlying in global population for lipid homeostasis 
    Garg, Himanshi; Ray, Arjun (Advisor) (IIIT-Delhi, 2023-03)
    Lipid homeostasis refers to the balance of the levels of various lipids, such as fats and cholesterol, within cells and organisms. This balance is crucial for many physiological functions. Disruptions to lipid homeostasis, ...
  • Deciphering the genetic bias underlying in global population for lipid homeostasis 
    Samota, Praveen Singh; Ray, Arjun (Advisor) (IIIT-Delhi, 2023-11-29)
    Maintaining lipid homeostasis, the equilibrium of lipid levels, including fats and cholesterol within cells and organisms, is vital for numerous physiological functions. Disruptions in lipid homeostasis, often spurred by ...
  • Deciphering the molecular complexity of dyslipidemia : multi-omics meta-analysis of the gut microbiome and the host physiology 
    Verma, Shivangi; Ghosh, Tarini Shankar (Advisor) (IIIT-Delhi, 2024-08-01)
    The gut microbiome is intricately linked with various aspects of health and physiology, serving as both a potential diagnostic marker and therapeutic target. Understanding its mechanistic in􀏐luences on systemic processes, ...
  • Decoding the DNA of code: an AI-infused approach to detect code cloning in software systems 
    Mehrotra, Nikita; Purandare, Rahul (Advisor) (IIIT-Delhi, 2024-06)
    Code clones, duplicate code fragments sharing similar syntax or semantics, have become increasingly prevalent due to the success of software management tools like GitHub and advancements in Open Source Software (OSS). ...

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