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  • ICU embedding (AI in healthcare) 
    Aziz, Abdul; Zaid, Mohd; Sethi, Tavpritesh (Advisor) (IIIT-Delhi, 2023-11-29)
    Intensive Care Units (ICUs) collect vast amounts of data, including patient vitals, often recorded as time series data. This data can be analyzed to extract meaningful data, which can aid in timely intervention, improving ...
  • iDEG : integrated data and energy gathering for wireless systems 
    Jain, Neha; Bohara, Vivek Ashok (Advisor); Gupta, Anubha (Advisor) (IIIT-Delhi, 2021-01)
    The next generation wireless communication system has the goal of reducing the power consumption, increasing the network capacity and global connectivity. Most of the signals generated, transmitted or received in wireless ...
  • Identification and understanding of campaign advocates 
    Mohan, Tushar (IIIT-Delhi, 2022-12)
    Twitter has emerged as a prominent social media platform for activism and counterpublic narratives. The counterpublics leverage hashtags to build a diverse support network and share content on a global platform that counters ...
  • Identification of putative cancer-associated gene clusters and gut-microbiome modules associated with increased susceptibility to GI-tract associated cancers 
    Kumar, Rakesh; Ghosh, Tarini Shankar (Advisor) (IIIT-Delhi, 2023-11-29)
    Gastrointestinal (GI)-tract associated cancers remain a significant global health concern due to their high incidence and mortality rates. These complex diseases arise from intricate interactions between genetic factors ...
  • Identification of weak bits in SRAM 
    Kumar, Gundu Anil; Hashmi, Mohammad S. (Advisor) (2015-12-07)
    Up to 70% of Systems on a Chip (SoC) area are occupied by embedded memories. In order to achieve higher robustness, embedded SRAMs (eSRAM) are often used in SOC applications. However, due to advancement in technology it ...
  • Identification of yeast strains for anti-cancer drug screening 
    R, Padmasini; Ahuja, Gaurav (Advisor) (IIIT-Delhi, 2023-04)
    The cellular mechanisms in yeast are highly conserved with humans making it an inexpensive, rapid and easier model organism to work with. Cell cycle checkpoints, DNA repair pathways and CDKs are well studied in yeast and ...
  • Identify, inspect and intervene multimodal fake news 
    Singhal, Shivangi; Shah, Rajiv Ratn (Advisor); Kumaraguru, Ponnurangam (Advisor) (IIIT-Delhi, 2023-06)
    Fake news refers to intentionally and verifiably false stories created to manipulate people’s perceptions of reality. Fake news is destructive and has been used to influence voting decisions and spread hatred against ...
  • Identifying and mitigating cross-platform phone number abuse on social channels 
    Gupta, Srishti; Kumaraguru, Ponnurangam (Advisor) (IIIT-Delhi, 2019-01)
    Online Social Networks (OSNs) have become a huge aspect of modern society. Social network usage is on a rise, with over 2 billion people using it across the globe, and the surge is only expected to increase. Online Social ...
  • Identifying and monitoring KPIs for Delhi’s public bus network 
    Madan, Ayush; Biyani, Pravesh (Advisor) (IIIT-Delhi, 2023-11-29)
    The primary goal of this project is to identify and develop a system to monitor Key Performance Indicators (KPIs) that can enhance the efficiency of Public Bus Services in Delhi. By meticulously analyzing various aspects ...
  • Identifying gut microbial markers for cardiovascular disease 
    Singh, Sahil Kumar; Ghosh, Tarini Shankar (Advisor) (IIIT-Delhi, 2023-11-29)
    In the ever-changing world of bioinformatics, this study dives into finding the connections between our gut, metabolomic data, and heart diseases. Data was gathered from 20 different study cohort groups, and 14 clinical ...
  • Identifying n-ary relations and representing them in knowledge graphs 
    Saini, Sakshi; Mutharaju, Vijaya Raghava (Advisor); Bhatia, Sumit (Advisor) (IIIT-Delhi, 2021)
    In Semantic Web languages, such as RDF and OWL, a binary relation is represented by the property, which links two entities or Individuals. Binary relations cannot be used to capture the relation between more than two ...
  • Identifying novel caloric restriction mimetics using generative AI 
    Nanshi, Jeet; Ahuja, Gaurav (Advisor) (IIIT-Delhi, 2024-01-20)
    In the contemporary era, anti-aging stands as a prominent research focus. Recognizing the impact of diet on aging, investigations into caloric restriction methods have emerged as a promising and effective approach in ...
  • IFHP development 
    Poswal, Pritish; Singh, Tanishqa Shital; Sethi, Tavpritesh (Advisor) (IIIT-Delhi, 2023-11-29)
    This B.Tech project focuses on the development of the IFHP portal ie Integrated Federated Health Portal which is a portal of Tavlab currenty hosted at https:// federatedhealthplatform.tavlab.iiitd.edu.in/ . Our main task ...
  • IFHP tindering datasets 
    Chowdhuri, Deeptanshu Barman; Singh, Jaskaran; Sethi, Tavpritesh (Advisor) (IIIT-Delhi, 2023-11-29)
    Ensuring that COVID-19 data adheres to the principles of Findability, Accessibility, Interoperability, and Reusability (FAIR) is critical for effective research and analysis. In this project, we systematically verify these ...
  • IIIT Delhi - enterprise resource planning development 
    Singh, Dashmesh; Gautam, Gaurav; Sarda, Vaibhav; Ali, Adnan; Singh, Pushpendra (Advisor) (IIIT-Delhi, 2021-05)
    ERP is an integral system in our Institute for managing academic data pertaining to students and professors. The current ERP system has certain issues in functionality, usability concerns, redundancies. We propose to ...
  • Image and video segmentation based rural road quality inspection 
    Gupta, Tanish; Anand, Saket (Advisor) (IIIT-Delhi, 2023-11-29)
  • Image forensics 
    Jain, Anubhav; Vatsa, Mayank (Advisor); Singh, Richa (Advisor) (IIITD-Delhi, 2018-01-09)
    Digital alterations have become a common trend on social media websites as well as in the entertainment industry, with magazine printing altered images of celebrities to make them look more attractive. Advancements in ...
  • Image generation using AI 
    Srivastava, Aryman; Dheeraj; Bagler, Ganesh (Advisor) (IIIT-Delhi, 2023-04-29)
    Deep learning involves training machines to understand patterns, classify objects, and predict outcomes. This has led to the emergence of various fields, including computer vision, natural language processing, speech ...
  • Image repurposing detection 
    Kumar, Ashwat; Shah, Rajiv Ratn (Advisor) (IIIT-Delhi, 2020-06-01)
    Image Repurposing is a type multimedia manipulation in which instead of manipulating image and it’s content, manipulation is done on it’s associated modality. For example - image’s caption, location metadata, author ...
  • Imaging using radar 
    Iqbal, Mohd Shoaib; Ram, Shobha Sundar (Advisor) (IIIT-Delhi, 2017-11-25)
    Frontal radar imaging has been proposed as an alternate technology to cameras for through wall surveillance and law enforcement. Cameras cannot see through wall as optic frequencies do not penetrate walls. On the other ...

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