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  • 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 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 ...
  • 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, ...
  • Decoding the molecular basis of iterative stress response (ISR) 
    Aggarwal, Anmol; Ahuja, Gaurav (Advisor) (IIIT-Delhi, 2023-09)
    Across evolutionary history, every organism has developed the ability to adapt to fluctuations in environmental conditions, thereby striking a balance between efficient growth and survival. In the case of yeast, when exposed ...
  • Deep clustering 
    Goel, Anurag; Majumdar, Angshul (Advisor) (IIIT-Delhi, 2023-11)
    The traditional way of clustering is first extracting the feature vectors according to domain-specific knowledge and then employing a clustering algorithm on the extracted features. Deep learning approaches attempt to ...
  • Deep dictionary learning 
    Tariyal, Snigdha; Majumdar, Angshul (Advisor) (2016-09-13)
    This Thesis focuses on combining the two well researched concepts of representation learning – Dictionary Learning and Deep Learning. These two learning paradigms have been known for long. Ever since, plethora of papers ...
  • Deep dictionary learning 
    Singhal, Vanika; Majumdar, Angshul (Advisor) (IIIT-Delhi, 2019-08)
    Currently there are three basic frameworks in deep learning - stacked autoencoders (SAE), deep belief network (DBN) and convolutional neural network (CNN); SAE and DBN can be applied to arbitrary inputs but CNN can only ...
  • Deep learning approach for face recognition with disguise variations 
    Chawla, Mohit; Singh, Richa (Advisor); Vatsa, Mayank (Advisor) (IIIT-Delhi, 2019-07)
    With the increased interest in face recognition across di erent applications, the research in this area has ourished over the past few decades. However, face recognition with disguise variations has gained little ...
  • Deep learning assisted methods for microscopic blood Cancer imaging analysis 
    Gehlot, Shiv; Gupta, Anubha (Advisor) (IIIT-Delhi, 2022-04-08)
    This thesis, “Deep Learning Assisted Methods for Microscopic Blood Cancer Imaging Analysis” aims to develop deep learning-based CAD tools for Acute Lymphoblastic Leukemia (ALL) and Multiple Myeloma (MM). A CAD tool typically ...
  • Deep learning based 3D reconstruction of indoor scenes 
    Hegde, Srinidhi; Anand, Saket (Advisor); Sharma, Ojaswa (Advisor) (2017-04-18)
    Recent advancement in deep learning techniques has opened doors for wide variety of applications. With growing interests in deep learning and geometry, lots of computer vision problems have been tackled using deep learning. ...
  • Deep learning based multitask learning for first-person videos 
    Gupta, Divam; Arora, Chetan (Advisor) (IIIT-Delhi, 2016-07-18)
    First person videos captured from wearable cameras are growing in popularity.Standard algo- rithms developed for third person videos often do not work for such egocentric videos because of drastic change in camera ...
  • Deep learning for attribute prediction and small sample size problems 
    Sethi, Akshay; Vatsa, Mayank (Advisor); Singh, Richa (Advisor) (IIIT-Delhi, 2018-04-17)
    The first part of this work focuses on facial attribute prediction using a novel deep learning formulation, termed as R-Codean autoencoder. The work presents Cosine similarity based loss function in an autoencoder which ...
  • Deep mean shift clustering 
    Madaan, Pulkit; Maiti, Abhishek; Anand, Saket (Advisor); Mittal, Sushil (Advisor) (IIITD-Delhi, 2019-04-15)
    We use Mean Shift clustering in the latent space of an auto-encoder to have a better representation of the data and a more structured latent space. Instead of just using the mode of the distribution calculated using kernel ...

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