Browsing Year-2023 by Title

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  • 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 ...
  • Jangu, Kushiluv; Yadav, Abhinn; Gupta, Anubha (Advisor) (IIIT-Delhi, 2023-11-29)
    Medical image segmentation is a pivotal technique in modern medical imaging, essential for enhancing diagnosis accuracy and patient care. This study explores the application of four advanced deep learning models - DermoSegDiff, ...
  • Jangu, Kushiluv; Yadav, Abhinn; Gupta, Anubha (Advisor) (2023-11-29)
    Medical image segmentation is a pivotal technique in modern medical imaging, essential for enhancing diagnosis accuracy and patient care. This study explores the application of four advanced deep learning models - DermoSegDiff, ...
  • Agarwal, Siddhant; Akhtar, Md. Shad (Advisor) (IIIT-Delhi, 2023-11-29)
    Memes are highly prevalent in online social media content, making them a vital source for analysing their power in diffusing ideas online. Memes combine the appeal of visuals with compelling messages, which have the potential ...
  • Gaur, Bhagesh; Akhtar, Md. Shad (Advisor); Chakraborty, Tanmoy (Advisor); Srivastava, Aseem (Advisor) (IIIT-Delhi, 2023-11-29)
    This thesis presents the development of Mental Health Co-Pilot (MH-CoPilot), a novel conversational assistant designed to revolutionize the support-seeking experience on Online Mental Health Platforms (OMHPs) like Reddit ...
  • Abhishek; Ghosh, Tarini Shankar (Advisor) (IIIT-Delhi, 2023-11-29)
    The oral microbiome is a complex ecosystem of bacteria, viruses, fungi, and other microorganisms that reside in the mouth. There has been growing interest in studying the oral microbiome in recent years, as it has been ...
  • Goyal, Harsh; Goyal, Vikram (Advisor) (IIIT-Delhi, 2023-11-28)
    Similarity metric learning is a sub-field of machine learning domain that focuses on developing techniques to measure the similarity between data points in a meaningful way. This project aims to design and develop a new ...
  • Prachi; Anand, Saket (Advisor) (IIIT-Delhi, 2023-12-12)
    The prediction of multi-agent behavior is crucial for the development of advanced human-robot interactive systems, particularly in domains like self-driving cars. Existing trajectory forecasting methods often lack the ...
  • Rai, Prakhar; Iyer, Anirudh R; Anand, Saket (Advisor); Kaul, Sanjit Krishnan (Advisor) (IIIT-Delhi, 2023-11-29)
    Multimodal sensor fusion is a technique which combines data from multiple sensors for applying the combined data in an effective manner which would provide a better understandning of the environment. In some cases such as ...
  • Kaif, Mohammed; Mittal, Shivansh; Shah, Rinku (Advisor); Deb, Sujay (Advisor) (IIIT-Delhi, 2023-11-29)
    Cloud providers host tenant applications on the shared server infrastructure and provide isolation by leveraging virtualization solutions such as virtual machines (VMs), containers, or serverless. The current virtualization ...
  • Thakkar, Dev; Arvind K, Hiren; Bagler, Ganesh (Advisor) (IIIT-Delhi, 2023-11-29)
    In this project, we ventured into computational gastronomy to craft AI-generated recipes that embody diverse regional cooking styles. Our methodology initially centered on a novel tokenization approach, using the GPT-2-based ...
  • Goel, Atharv; Singh, Jyotirmaya; Anand, Saket (Advisor) (IIIT-Delhi, 2023-11-29)
    This thesis undertakes a comprehensive exploration of object detection technologies with a particular emphasis on their application in autonomous driving and related application settings. The research delves into 2D and ...
  • Arora, Shivoy; Das, Syamantak (Advisor) (IIIT-Delhi, 2023-11-29)
    This thesis explores the dynamics of online algorithms, with a focus on the List Update Problem in online optimization. Our study revolves around the analysis of various algorithmic strategies, under the frameworks of ...
  • Marwah, Ishaan; Seth, Ritesh; Das, Syamantak (Advisor) (IIIT-Delhi, 2023-11-29)
    This report addresses the problem of online metric matching. In this scenario, a group of servers is situated within a metric space, and requests continuously arrive over time in an unpredictable manner. The objective is ...
  • Pal, Utkarsh; Kumar, Aman; Bhattacharya, Arani (Advisor) (IIIT-Delhi, 2023-05-10)
    Edge computing has emerged as a promising paradigm for meeting the requirements of resourceintensive applications by processing data at the network edge. The aim of our project is to optimise the end to end tail latency ...
  • Sakhuja, Raghav; Majumdar, Diptapriyo (Advisor) (IIIT-Delhi, 2023-11-24)
    Given an undirected graph G = (V,E), an s-club is a vertex subset S ⊆ V (G) such that G[S] has diameter at most s. Formally, an s-Club problem asks if the input graph has an s-club with at least k vertices. There have been ...
  • Kamathi, Ashish; Sethi, Tavpritesh (Advisor) (IIIT-Delhi, 2023-11-29)
    In response to India’s National Digital Health Mission (NDHM), TavLabs has innovatively enhanced its PHR platform by integrating a Mental Health Integration feature, designed to support and prioritize mental well-being. ...
  • Goel, Vanshika; Kumar, Vishal; Sethi, Tavpritesh (Advisor); Ummalaneni, Vahini (Advisor) (IIIT-Delhi, 2023-11-27)
    The Government of India has initiated the National Digital Health Mission (NDHM) to improve healthcare accessibility through the digitization and consolidation of patient data processes. TavLabs' PHR team proposes an ...
  • Sundararajan, Niranjan; Dubey, Vibhu; Subramanyam, A V (Advisor) (IIIT-Delhi, 2023-12-11)
    Image-Text Retrieval (ITR) is the task of retrieving an image from a corresponding textual description and/or a textual description from the corresponding image. Person Re-Identification (Person Re-ID) is a downstream task ...
  • Yadav, Nittin; Sethi, Tavpritesh (Advisor) (IIIT-Delhi, 2023-11-29)
    Health Interoperability has become a major concern in today’s period in which health records data is increasing rapidly. New healthcare hospitals and facilities are emerging increasing the need to create an interoperable ...

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