Browsing Year-2023 by Title

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  • 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 ...
  • 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 ...
  • Image and video segmentation based rural road quality inspection 
    Gupta, Tanish; Anand, Saket (Advisor) (IIIT-Delhi, 2023-11-29)
  • Implementation and evaluation of QUIC on serverless architectures 
    Ambooken, Alvin Joseph; Maity, Mukulika (Advisor) (IIIT-Delhi, 2023-11-29)
    Serverless computing has emerged as a tranformative field in the cloud computing world. It is being increasingly adopted in the industry due to the energy and cost savings associated with it. However, communications withing ...
  • Improving energy efficiency of nvidia GPUs 
    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 ...
  • Improving speech to speech conversion with incorporation of speaker tonality 
    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 ...
  • In-network processing for 5G crypto using FPGA-based NICs 
    Nagar, Ritika; Shah, Rinku (Advisor); Darak, Sumit Jagdish (Advisor) (IIIT-Delhi, 2023-11-29)
    The latest advancements in the field of 5G telecommunications have proposed the requirements of high speeds (~1 Gbps per user) and low latency (< 1 ms) for a new world of possible applications such as AR/VR, autonomous ...
  • Innovative graph based model for ECG data analysis 
    Oberoi, Rupin; Gupta, Anubha (Advisor) (IIIT-Delhi, 2023-11-29)
    Electrocardiography (ECG) is widely used in cardiography as a non-invasive diagnostic tool for providing a graphical representation of the electrical activity in the heart over a duration of time. It captures the electrical ...
  • Innovative graph based transformer model for ECG data analysis 
    Raj, Aditya; Gupta, Anubha (Advisor) (IIIT-Delhi, 2023-11-29)
    In this research, we attempt to create a state-of-the-art model for the classification of the PTBXL dataset and improve upon already established metrics. Firstly, we use the previous best model, ST-CNN-GAP-5 and introduce ...
  • Innovative graph based transformer model for ECG data analysis 
    Jain, Nalish; Gupta, Anubha (Advisor) (IIIT-Delhi, 2023-11-29)
    In this research, we attempt to create a state-of-the-art model for the classification of the PTBXL dataset and improve upon already established metrics. Firstly, we use the previous best model, ST-CNN-GAP-5 and introduce ...
  • Jivika App 
    Giri, Sushil Kumar; Deb, Sujay (Advisor) (IIIT-Delhi, 2023-11-29)
    Critical health parameters such as SpO2 and Blood Pressure play a massive role in determining a person’s health condition, and hence their tracking and monitoring are essential. Currently, the problem with health monitoring ...
  • KG quality metrics 
    Sharma, Pranav; Mutharaju, Vijaya 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 ...
  • Learning speaker, emotion, age, and gender information through disentanglement of speech pre-trained representations 
    Koshal, Devyani; Buduru, Arun Balaji (Advisor) (IIIT-Delhi, 2023-11-29)
    Forensic speech science, rooted in acoustics, plays a key role in legal investigations. Among its diverse applications, automatic speaker recognition (ASR) stands as a primary task within forensic speech analysis followed ...
  • Light weight code - mix neural machine translation 
    Bansal, Subhanshu; Akhtar, Md. Shad (Advisor) (IIIT-Delhi, 2023-11-29)
    In the contemporary multilingual landscape of online communication, the emergence of codemixed language, the seamless integration of multiple languages within a single utterance, has become increasingly prevalent. The ...
  • LLMs in healthcare 
    Mishra, Prateek; Raina, Aryaman; Goyal, Harshit; Kumar, Dhruv (Advisor) (IIIT-Delhi, 2023-11-29)
    This paper explores the integration of Large Language Models (LLMs), in the healthcare domain, focusing on improving accessibility, medication management, and public health awareness. The research investigates the ...
  • Local citation recommendation for scientific research papers 
    Jindal, Shivam; Goyal, Sourav; Goyal, Vikram (Advisor) (IIIT-Delhi, 2023-11-28)
    This project aims to design and develop a local citation recommendation system. The system is designed to assist users in recommending accurate and relevant citations for their scientific research papers. It can save time ...
  • Machine learning for intensive care units 
    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 ...
  • Medical image segmentation 
    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, ...
  • Medical image segmentation 
    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, ...
  • Meme analysis 
    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 ...

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