IIIT-Delhi Institutional Repository

Browsing Year-2023 by Issue Date

Browsing Year-2023 by Issue Date

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  • Constant-time snapshots with applications to concurrent data structures 
    Singh, Aayush; Chhillar, Yash; Chatterjee, Bapi (Advisor) (IIIT-Delhi, 2023-05-09)
    This research explores the concurrent implementation of range search operations on quadtrees using Versioning of the data structure. The proposed approach utilizes time-stamped versioned lists to maintain the state of each ...
  • Autonomous delivery system for hospitals and hotels 
    Akshat; Agrawal, Yash; Bohara, Vivek Ashok (Advisor) (IIIT-Delhi, 2023-05-09)
    • Implementation of a prototype of a delivery robot using ROS (Robot Operating System) framework that autonomously maps unknown territories and can navigate to a provided destination. • Algorithms like Hector SLAM and ...
  • Design of a novel interpretability analysis method to handle out-of-distribution samples 
    Arora, Srijan; Gupta, Anubha (Advisor) (IIIT-Delhi, 2023-05-09)
    With the growing introduction of machine learning in critical domains such as healthcare, finance, law and other public services, the need for increased trust and understanding of these models is becoming paramount for ...
  • Environmental sensing 
    Pedro, Antonio; Kumar, Vasanth; Manideep; Sri Charan, Devi; Shah, Rajiv Ratn (Advisor); Choudhary, Vishal (Advisor) (IIIT-Delhi, 2023-05-09)
    This project addresses growing environmental concerns by developing a comprehensive environmental monitoring system. It uses a NodeMCU-32s board with various sensors to collect data on environmental parameters, transmitting ...
  • Dolphin++: a modern voice call based internet resistance system 
    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 ...
  • Optimisation of tail latency in Edge computing 
    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 ...
  • Utilizing image processing to create an app for cell image counting and characterization 
    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 ...
  • Ring fencing 
    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. ...
  • Fairness in machine learning 
    Budhija, Kuber; Shah, Rajiv Ratn (Advisor) (IIIT-Delhi, 2023-11-01)
    In a world where machine learning and AI play an increasing role in decision-making across various sectors, concerns about fairness have emerged. This report delves into the journey of understanding fairness in machine ...
  • Explainable positive unlabeled learning for large sparse data 
    Singh, Deepak; Kumar, Vibhor (Advisor) (IIIT-Delhi, 2023-11-22)
    There are scenarios in machine learning problems when the available class is only positive, and the rest of the data points are unlabelled. In our current approach, for a given disease-gene set, given members of the gene ...
  • Distributed stream processing at edge 
    Choudhary, Aditya; Chak, Ayush Raje; Shah, Rajiv Ratn (Advisor) (IIIT-Delhi, 2023-11-23)
    A vast amount of data is produced by billions of modern devices each year. An effective Stream Processing Engine (SPE) is needed to arrange and handle this data. Among the well-known SPEs are Apache Hadoop, Apache Spark, ...
  • DIKE: blockchain based e-voting 
    Aggarwal, Naman; Chakravarty, Sambuddho (Advisor); Samajder, Subhabrata (Advisor); Buduru, Arun Balaji (Advisor) (IIIT-Delhi, 2023-11-23)
    DIKE: is an online voting system which uses a private blockchain to securely cast and count the votes . The system addresses the issues in existing offline voting system revealing/compromising voter anonymity, partial vote ...
  • Parameterized algorithms to find cohesive subgraphs with small diameter 
    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 ...
  • Early prediction of rumors 
    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 ...
  • Combating digital video piracy: safeguarding intellectual property rights 
    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 ...
  • Predicting breast cancer subtypes from 3D MRI scans using pyradiomics 
    Sharma, Ayush; Kumar, Dhruv (Advisor) (IIIT-Delhi, 2023-11-25)
    Breast cancer is a complex and heterogeneous disease with varying clinical outcomes and treatment responses among different subtypes. Accurate classification of breast cancer subtypes is crucial for personalized treatment ...
  • KG quality metrics 
    Sharma, Pranav; Mutharaju, Raghava (Advisor); Mukherjee, Manuj (Advisor) (IIIT-Delhi, 2023-11-27)
    In the burgeoning field of knowledge representation, the construction and maintenance of highquality knowledge graphs (KG’s) play a pivotal role in ensuring the accuracy and reliability of information. This research endeavors ...
  • Patient health record app – physical health 
    Goel, Vanshika; 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 ...
  • Metric learning 
    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 ...
  • Risk calculator for heart attack patients 
    Mohit; Gupta, Anubha (Advisor) (IIIT-Delhi, 2023-11-28)
    This study aims to enhance the accuracy of predicting the 30-day mortality rate among patients following their first heart attack by leveraging machine learning and deep learning techniques. The current cardiac risk ...

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