DSpace at IIIT-Delhi: Recent submissions

  • Lal, Shubham; Ray, Arjun (Advisor) (IIIT-Delhi, 2023-10-25)
    Organ transplantation represents a beacon of hope for individuals facing end-stage organ failure, with the success hinging on donor-recipient compatibility. Complement-dependent cytotoxicity (CDC) crossmatch imaging and ...
  • Dixit, Shantanu; Akhtar, Md. Shad (Advisor) (IIIT-Delhi, 2023-11-29)
    Knowledge distillation is a technique that involves transferring knowledge from a larger teacher model to a smaller student model. The latest developments in meta-learning-based knowledge distillation emphasize the ...
  • Haider, Mohammad Faizan; Sharma, Ananya; Singh, Pushpendra (Advisor) (IIIT-Delhi, 2023-11-29)
    Numerous policies have been implemented without thorough impact analysis. We focus on evaluating the effectiveness of reservation in uplifting the Scheduled Castes (SC) and Scheduled Tribes (ST) communities. In this study, ...
  • Parashar, Varun; Kumar, Vivek (Advisor) (IIIT-Delhi, 2023-12-11)
    The project focuses on enhancing the energy efficiency of Nvidia GPUs, crucial for graphics, AI, and high-performance computing. The rising demand for GPUs has led to increased energy consumption, necessitating optimization ...
  • Chaurasia, Yashasvi; Rangwani, Vishesh; Shah, Rinku (Advisor) (IIIT-Delhi, 2023-12-05)
    With an increase in use of applications that require custom data to be moved across networks and devices, there is an increasing use of different serialization techniques. There are several serialization alternatives ...
  • Arora, Chaitanya; Sambuddho (advisor) (IIIT-Delhi, 2023-11-24)
    This research introduces an advanced watermarking methodology designed to combat digital video piracy, specifically targeting traitor tracing and identifying piraters within digital media distribution platforms. The study ...
  • Garg, Prakrit; Shah, Rajiv Ratn (Advisor) (IIIT-Delhi, 2023-11-29)
    Visual Question Answering(VQA) has applications in various rising areas ranging from Medical Imagery to Video Surveillance and Assistance[1]. VQA problem is a central component of the Artificial General Intelligence problem, ...
  • Choudhary, Harshit; Akhtar, Md. Shad (Advisor) (IIIT-Delhi, 2023-11-24)
    In this study, we address the widespread issue of rumor propagation on social media. Current automated systems primarily rely on analyzing the stance made in tweets to predict the veracity of rumors. To enhance the ...
  • 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, ...
  • Sharma, Devraj; Maity, Mukulika (Advisor); Bhattacharya, Arani (Advisor) (IIIT-Delhi, 2023-11-29)
    Wifi has become an omnipresent technology these days. We can find Wifi connection almost everywhere from public spaces like restaurants, educational institutions, transport stations to private homes and offices. Despite ...
  • Tiwari, Anusha; Kushagra; Akhtar, Md. Shad (Advisor) (IIIT-Delhi, 2023-11-29)
    In India, the realm of mental health is overshadowed by stigma, lack of awareness, and outdated methods, worsened by a scarcity of accessible well-being and counseling solutions. This challenge is particularly prominent ...
  • 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 ...
  • Ranjan, Aman; Grover, Anuj (Advisor) (IIIT-Delhi, 2023-11-29)
    "Hardware Chacha" is an innovative e-commerce platform in India, where users can buy paints, pipes, plumbing, tanks, and electronics online. Designed for both individuals and contractors, our platform simplifies hardware ...
  • Yadav, Anunay; Chakraborty, Tanmoy (Advisor); Akhtar, Md. Shad (Advisor); Bagler, Ganesh (Advisor) (IIIT-Delhi, 2021-12)
    Argument mining is a rising research area in natural language processing, the goal of which is to extract argumentative structures from natural language texts. Such components contain a lot of information not only limited ...
  • Goel, Arnav; Hira, Medha; Gupta, Anubha (Advisor) (IIIT-Delhi, 2023-11-29)
    We benchmark various Speech-to-Text (STT) and Text-to-Speech (TTS) models and performed an extensive literature review on downstream tasks such as Automatic Speech Recognition (ASR), Speech Emotion Recognition, Speaker ...
  • Narang, Ojas; Bagler, Ganesh (Advisor) (IIIT-Delhi, 2023-11-30)
    India's food industry faces critical challenges with its centralized supply chains, including single point failures, quality issues, and data integrity. There's a high rate of food fraud, contamination, and adulteration, ...
  • Nandi, Arpit; Malik, Dhruv; Sambuddho (advisor) (IIIT-Delhi, 2023-11-29)
    Our aim is to develop a light weight learning based android malware detection solution, that can not only accurately distinguish malware from goodware but also classify / report its category, even when functioning under ...
  • Nangia, Aditya; Bhupal, Saksham; Mohania, Mukesh (Advisor) (IIIT-Delhi, 2023-10-29)
    In an era marked by unprecedented data growth and pervasive digital influence, ensuring model privacy is imperative as machine learning models gain prominence in diverse domains like healthcare, finance, and business. ...
  • Singh, Shashank Shekhar; Singh, Abhijeet; Shah, Rajiv Ratn (Advisor) (IIIT-Delhi, 2023-11-29)
    This report explores the augmentation of the RanLayNet research paper by addressing limitations in existing datasets for domain adaptation. Through a comprehensive analysis of Ran- LayNet, PubLayNet, and DocLayNet papers, ...
  • 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 ...

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