IIIT-Delhi Institutional Repository

Browsing BTech Projects by Title

Browsing BTech Projects by Title

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  • 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 ...
  • Machine learning in cancer genomics 
    Gupta, Taejas; Gupta, Anubha (Advisor) (IIITD-Delhi, 2019-04-28)
    Cancer is caused by an increased amount of cell growth in an area due to alterations in protein synthesis caused by mutations in certain genes known as cancer driver genes. Determining the gene regulatory network for the ...
  • Malware detection through binary analysis 
    Maheshwary, Yashit; Kurian, Deepak; Buduru, Arun Balaji (Advisor) (IIIT-Delhi, 2020-05-29)
    Malware Detection is an important problem in modern day due to the increasing frequency of malware attacks using unknown malware strains. Unlike traditional detection techniques which require a signature for each sample, ...
  • Manzar: issues with cyber censorship in India 
    Shekhawat, Sahil; Chakravarty, Sambuddho (Advisor) (2017-07-06)
    Last semester we found that the Indian government delegates censorship policies at ISP level which is inconsistent and disorganized. We filed multiple RTIs to Department of Telecommunication seeking censorship policies of ...
  • Me, myself and my killfie: characterizing and preventing selfie deaths 
    Vachher, Mayank; Kumaraguru, Ponnurangam (Advisor) (2016-11-16)
    Over the past couple of years, clicking and posting selfies has become a popular trend. However, since March 2014, 127 people have died and many have been injured while trying to click a selfie. Researchers have studied ...
  • 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 ...
  • Memory-efficient filter based policy iteration zero sum two player differential game for adaptive LQR 
    Singh, Mandeep; Roy, Sayan Basu (Advisor) (IIIT-Delhi, 2020-07)
    A memory efficient filter based iterative algorithm is proposed for a two-player zero sum linear differential game problem arising in the control of process systems affected by disturbances.The objective in such a scenario ...
  • Mental health copilot (a conversational assistant for support seekers on online mental health platforms(OMHP)) 
    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 ...
  • Meta-analysis of oral microbiome datasets 
    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 ...
  • 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 ...
  • Middleware for crowd sensing systems 
    Wason, Manan; Singh, Pushpendra (Advisor) (2016-11-18)
    Nowadays, mobile devices are loaded with many useful sensors and have high computational capabilities. The sensors available on these devices provide valuable data that can be harnessed in many ways. Due to abundance of ...
  • Mining interesting sub graphs using big data platforms 
    Khare, Alind; Goyal, Vikram (Advisor) (IIIT-Delhi, 2017-07-05)
    The goal of graph mining is to extract interesting sub graphs from a single large graph (e.g., a social network), or from a database of many graphs.This thesis has modified the FSM-H algorithm (algorithm for frequent sub ...
  • Minute papers in ALT (active learning and teaching) 
    Khandade, Om; Trivedi, Sanchit; Jalote, Pankaj (Advisor) (IIIT-Delhi, 2022-05)
    Minute paper or One minute paper is one of the old exercises that is commonly used in classroom assessment. In this technique, students are asked to fill out responses based on their learnings at the end of a lecture in ...
  • Mobile app to manage and advertise innovation, research and development activities at IIIT DELHI 
    Gupta, Saloni; Saxena, Simran; Singh, Pushpendra (Advisor) (2017-04-18)
    There has been an increasing need to have access to everything on Mobile phones due to the ease of access and portability. With this aim, we decided to bring the Innovation, Research and Development (IRD) Activities being ...
  • Mobile applications for supporting people with schizophrenia 
    Sharma, Shreya; Batabayal, Ashutosh; Singh, Pushpendra (Advisor) (IIITD-Delhi, 2019-04-14)
    Medical illnesses such as bipolar disorder, schizophrenia, depression are of great concern in today's time. Mental patients require long term treatment and a caregiver who is there to adhere to their needs. Medical conditions ...
  • Mobility Assistant for the Visually Impaired 
    Verma, Arsh; Gupta, Anubha (Advisor); Arora, Chetan (Advisor); Balakrishnan, M. (Advisor) (IIIT- Delhi, 2021-05)
    Scene Text Recognition (STR) refers to the task of recognition of text in natural scenes. The success of OCR models is hard to achieve on natural scene images due to a variety of challenges, including - variation in ...
  • Model explainability - in Context of Argument Mining 
    Yadav, Anunay; Chakraborty, Tanmoy (Advisor); Akhtar, Md. Shad (Evaluator); Bagler, Ganesh (Evaluator) (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 ...
  • Most navigable path using landmarks 
    Mittal, Abhishek; Sharma, Ishan; Gunturi, Venkata M. Viswanath (Advisor) (2017-04-18)
    In this paper we will be mentioning the various facets of our research project. We will go through the need to solve the problem of navigability and its relevance to today’s world. We have compared this model to the existing ...

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