IIIT-Delhi Institutional Repository

Browsing BTech Projects by Issue Date

Browsing BTech Projects by Issue Date

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  • Classification of agonist and antagonist using machine learning 
    Aggarwal, Bhavay; Ray, Arjun (Advisor) (IIIT-Delhi, 2021-05)
    Proteins are essential for carrying out the activities our cells perform. Agonist and Antagonist molecules are essential in dictating cell activities and hence the Identi cation of the action of such complexes will help ...
  • An extensive study on state-of-the-art c decompilers 
    Singh, Sejal; Purandare, Rahul (Advisor); Jain, Ridhi (Advisor) (IIIT-Delhi, 2021-06)
    C decompilers are often chosen by the developers when they do not have the source code available in order to either debug or understand the code. Previous studies suggest that the C decompilers are not correct; however, ...
  • Mapping the maze : a study of internet shutdowns across the world 
    Malik, Ritik; Chakravarty, Sambuddho (Advisor); Khan, Aasim (Advisor) (IIIT-Delhi, 2021-06)
    The government regimes have frequently used internet shutdowns to curb the freedom of expression and devoice people worldwide. There could be other unintentional reasons, like power failure, device rupture, regional outages, ...
  • Quantum control theory 
    Chhillar, Jayant; Roy, Sayan Basu (Advisor) (IIIT-Delhi, 2022)
    This report presents a literature review survey about the field of Quantum Control Theory and its applications. Concepts of control followed in classical control (including open-loop control and closed loop control) are ...
  • A structured platform for air quality data 
    Ahmad, Saad; Attri, Sudhir; Mutharaju, Vijaya Raghava (Advisor) (IIIT-Delhi, 2022-05)
    Knowledge graphs as a form of data representation have been successfully applied for various applications. They are known to capture the structural complexity and semantic relationships of data. Our goal is to develop an ...
  • Fake news detection using repositories 
    Gupta, Gavish; Singh, Shrey Kumar; Shah, Rajiv Ratn (Advisor) (IIIT-Delhi, 2022-05)
    A rapid growth in the amount of fake news on social media is a very serious concern in our society. Fake news are usually created by making changes to text, images, audio, and videos. To bust these fake news, there are ...
  • Prediction of disease genes using transcription factor binding pattern 
    Vimal, Anand; Kumar, Vibhor (Advisor); Chandra, Omkar (Advisor) (IIIT-Delhi, 2023-10-29)
    This study presents a novel approach leveraging machine learning techniques to analyze epigenomic and transcription factor binding patterns for the identification of key genes, including non-coding genes, associated with ...
  • Detection of DNA base modifications using machine learning 
    Mehta, Ronit; Kumar, Rahul; Kumar, Vibhor (Advisor) (IIIT-Delhi, 2023-11-28)
    Detection of DNA base modifications Epigenetic modifications of DNA bases play an important role so, it’s important to detect the modifications in DNA. Hence, our goal is to detect and discover modifications in DNA and ...
  • Genome-wide association study (GWAS) project 
    Agrawal, Sidhant Kumar; Sengupta, Debarka (Advisor) (IIIT-Delhi, 2023-11-29)
    The BTP report explores the integration of cutting-edge genomics and precision medicine into a comprehensive platform named GenomeX. With a focus on Genome-wide Association Studies (GWAS), the report delves into the ...
  • Optimizing load balancing for edge applications 
    Temura, Arjun; Shah, Rinku (Advisor) (IIIT-Delhi, 2023-11-29)
    Hybrid clouds have gained popularity in recent years due to their ability to run applications across the on-premises data-center/edge and public clouds. The presence of edge cloud has significantly decreased latency and ...
  • Network inference in sparse datasets 
    Pandey, Harsh; Kumar, Vibhor (Advisor) (IIIT-Delhi, 2023-11-29)
    This research addresses the challenge of network inference in large-scale, sparse datasets. Inspired by the Gini coefficient, we introduce a novel methodology leveraging machine learning, including the GENIE3 algorithm and ...
  • Microbiome diagnostics using functionally similar genome clustering 
    Chaurasia, Ankit; Malik, Amit; Ghosh, Tarini Shankar (Advisor) (IIIT-Delhi, 2023-11-29)
    Advancement in the field of metagenomic research have highlighted the role of microbiomes can play ecologically and clinically contexts. So, our proposed platform will provide metagenomic researchers with a friendly user ...
  • Artificial intelligence in healthcare 
    Kashyap, Ritwik; Sethi, Tavpritesh (Advisor) (IIIT-Delhi, 2023-11-29)
    In the realm of critical care medicine, the continuous generation of vital signs time series data from Intensive Care Units (ICUs) serves as a pivotal element for clinicians in evaluating patient prognostics and accessing ...
  • Prediction of microbial colonization in human gut and oral microbiomes 
    Mithun; Ghosh, Tarini Shankar (Advisor) (IIIT-Delhi, 2023-11-29)
    This study seeks to forecast microbial colonization in the human gut and oral microbiomes by examining various factors, including diet, host genetics, and environmental influences. Through the utilization of sophisticated ...
  • In-domain conquers commonsense knowledge: leveraging domain-specific toxicity attributes for explanation generation of implied hate speech 
    Yadav, Neemesh; Akhtar, Md. Shad (Advisor) (IIIT-Delhi, 2023-11-29)
    Recognizing subtle and implied forms of hate speech is convoluted. Fine-tuning pre-trained language models (PLMs) to generate an explanation for an incoming implicit statement has become an active area of research. Moreover, ...
  • Computational gastronomy: data-driven analysis of food and nutrition 
    Arora, Nalin; Bagler, Ganesh (Advisor) (IIIT-Delhi, 2023-11-29)
    The project introduces the development and evaluation of machine learning models incorporating both unsupervised learning clustering and supervised learning classification and regression techniques. These models aim to ...
  • Unit test generation using LLMs: a comparative performance analysis of autogeneration tools 
    Bhatia, Shreya; Jalote, Pankaj (Advisor) (IIIT-Delhi, 2023-11-29)
    Generating unit tests is a crucial undertaking in software development, demanding substantial time and e↵ort from programmers. The advent of Large Language Models (LLMs) introduces a novel avenue for unit test script ...
  • Development of chemsules 
    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 ...
  • Computational creativity using embeddings 
    Pandey, ayan; Arvind, Hiren; Thakkar, Dev; Bagler, Ganesh (Advisor) (IIIT-Delhi, 2023-11-29)
  • Predicting prediction of probiotic species in the gut using statistical and machine learning 
    Sharma, Aditya Aryan; Harshal; Ghosh, Tarini Shankar (Advisor) (IIIT-Delhi, 2023-11-29)

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