IIIT-Delhi Institutional Repository

Browsing by Subject "machine learning"

Browsing by Subject "machine learning"

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  • Sahu, Sahil; Jalote, Pankaj (Advisor); Sethi, Tavpritesh (Advisor) (IIIT-Delhi, 2023-11-29)
    Diabetes is a chronic illness that affects millions of people worldwide and requires regular monitoring of a patient’s blood glucose level. Currently, blood glucose is monitored by a minimally invasive process where a small ...
  • Raina, Anjanay; Roy, Sayan Basu (Advisor) (IIIT-Delhi, 2023-11-29)
    The central focus of this project revolves around the comprehensive development and customization of a user-centric interface for optimizing the functionalities of QGroundControl (QGC) and Mission Planner (MP) in the field ...
  • Pankajbhai, Rathod Kunal; Tyagi, Sarthak (IIIT-Delhi, 2023-11-29)
    Chemsules introduces a revolutionary approach to carcinogenicity assessment, anchored by the precision-driven Metabokiller machine learning model. Catering to a diverse user base, including researchers, scientists, industry ...
  • Kaushik, Yogesh; Maity, Mukulika (Advisor) (IIIT-Delhi, 2023-05-09)
    Internet has become a basic necessity to perform variety of day to day tasks such as accessing news, reporting incidents, sending work emails etc. However, recently an extreme form of censorship is introduced in the form ...
  • Sehgal, Rahul; Sethi, Tavpritesh (Advisor) (IIIT-Delhi, 2023-11-29)
    Intensive Care Units (ICUs) generate extensive time series data, particularly patient vitals, holding immense potential for meaningful insights crucial for timely interventions and enhanced patient outcomes. Conventional ...
  • Deeptanshu; Sethi, Tavpritesh (Advisor) (IIIT-Delhi, 2023-05-09)
    Intensive Care Units (ICUs) collect vast amounts of data, including patient vitals which are often recorded as time series data. This data can be analysed to extract meaningful data, which can aid in timely intervention, ...
  • Anand, Mrinal; Buduru, Arun Balaji (Advisor) (IIIT-Delhi, 2023-11-29)
    As the usage of Android mobile devices has increased rapidly, so has the occurrence of Android malware. To mitigate the risk posed by Android malware, it is important to develop effective detection techniques. In this ...
  • Azam, Mohammad Sufyan; Bajpai, Ishit; Singh, Siddhant; Singh, Pushpendra (Advisor) (IIIT-Delhi, 2023-11-30)
    This project endeavors to establish a framework for knowledge-based digital intervention targeting improved health outcomes for mothers and children. Leveraging WhatsApp chats and Zoom audio transcripts, a web app is under ...
  • Pandit, Khushdev; Kumar, Sumit; Goyal, Vikram (Advisor) (IIIT-Delhi, 2023-11-29)
    Recent work by Tramer et al. [6] highlighted online models’ vulnerability to theft by exploiting prediction APIs through repetitive querying. Since then, numerous studies have emphasized the increasing significance of model ...
  • Arora, Chavisha; Shah, Rajiv Ratn (Advisor) (IIIT-Delhi, 2021-12)
    Lip reading is used to understand and interpret speech without hearing it. It is a technique especially mastered by people with hearing difficulties. This special ability to lip read enables people with a hearing impairment ...

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