IIIT-Delhi Institutional Repository

Browsing BTech Projects by Subject "Machine Learning"

Browsing BTech Projects by Subject "Machine Learning"

Sort by: Order: Results:

  • AI for software development: refactoring code-bases 
    Vohra, Aryan; Patel, Hardik; Jalote, Pankaj (Advisor) (IIIT-Delhi, 2023-11-29)
    Code refactoring, in which an existing module is modified for satisfying some property while maintaining the functionality, is often needed as software evolves. Since refactoring is tedious and error prone, it is sometimes ...
  • Benchmarking ML/DL libraries 
    Tyagi, Jatin; Rastogi, Nishaant; Jain, Pratyush; Kumar, Dhruv (Advisor) (IIIT-Delhi, 2023-11-29)
    The exponential growth of machine and deep learning applications across diverse domains has led to the proliferation of machine and deep learning libraries. As these libraries offer various algorithms, tools, and ...
  • Building a risk scoring system using ML for cardiovascular risk for Indian population 
    Gupta, Akshat; Gupta, Anubha (Advisor) (IIIT-Delhi, 2023-12-03)
    Cardiovascular diseases (CVD) include a variety of conditions affecting the heart and blood vessels, often arising from complex interplay of genetic predisposition, lifestyle factors, and environmental influences. Myocardial ...
  • Characterization of novel short proteins in the human microbiome 
    Mrinal; Gautam, Prutyay; Ray, Arjun (Advisor) (IIIT-Delhi, 2020-12)
    The project is based on applying Machine Learning tools and di erent analysis techniques to identify which protein features in metagenomes sampled from Human and Non-Human (other mammal species) microbiomes help them impart ...
  • Data quality and privacy action 
    Thulasidoss, Bharath Kumar; Garimella, Pavan Kumar; Sethi, Tavpritesh (Advisor); Kumaraguru, Ponnurangam (Advisor) (IIIT- Delhi, 2021-05)
    In an era where the volume of data sets for a particular topic keeps increasing, it is necessary to have quality checks on the data to keep it relevant to modern learning algorithms. Quality parameters provide an objective ...
  • Defending touch-based continuous authentication systems from active adversaries using generative adversarial networks 
    Mehrotra, Pragyan; Shah, Rajiv Ratn (Advisor); Kumar, Rajesh (Advisor) (IIIT-Delhi, 2021-12)
    Previous studies have demonstrated that commonly studied (vanilla) touch-based continuous authentication systems (V-TCAS) are susceptible to population attack. This paper proposes a novel Generative Adversarial Network ...
  • Design and development of smartphone based health monitoring system 
    Kochar, Adwit Singh; Bansal, Pabitra; Singh, Rahul; Agrawal, Yashwin; Deb, Sujay (Advisor) (IIIT-Delhi, 2021-12)
    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 ...
  • Digital solution to predict and relieve stress 
    Jain, Ananya; Natarajan, Kirthana; Shukla, Jainendra (Advisor) (IIIT-Delhi, 2022-05)
    Stress is the physical and psychological reaction to situations or demands. It is a natural and inevitable part of life. However, experiencing consistent stress over long periods of time can be harmful for health and may ...
  • Fragmentation mitigation for C+L band in elastic optical networks 
    Singh, Abhishek Pratap; Mitra, Abhijit (Advisor); Srivastava, Anand (Advisor) (IIIT-Delhi, 2021-05)
    The extensive growth in the demand for network bandwidth has created new challenges for net- work operators in the last few years. Traditional optical network technology is no longer enough to handle the massive bandwidth ...
  • 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 ...
  • Joint graph learning and prediction 
    Akhtar, Mohammad Hamzah; Sheoran, Shikhar; Prasad, Ranjitha (Advisor) (IIIT-Delhi, 2021-12)
    Estimating the structure of directed acyclic graphs (DAGs, also known as Bayesian networks) is a challenging problem since the search space of DAGs is combinatorial and scales super exponentially with the number of nodes. ...
  • KinshipGAN : generating kin images 
    Sinha, Raunak; Vatsa, Mayank (Advisor); Singh, Richa (Advisor) (IIITD-Delhi, 2019-04-29)
    Automatic kinship verifi cation using face images involves analyzing features and computing similarities between two input images to establish kin-relationship. It has gained signi cant interest from the research community ...
  • Legal text processing 
    Wadhwa, Pritish; Satija, Gitansh Raj; Shah, Rajiv Ratn (Advisor) (IIIT-Delhi, 2022-07)
    Legal Domain has been explored by the scientific community only upto a limited extent. While there is some amount of research available in the United States of America, the amount of research in India in the same domain ...
  • Multimodal misinformation analysis 
    Mathur, Himanshi; Akhtar, Md. Shad (Advisor) (IIIT-Delhi, 2022-05)
    The first study is based on classification of fake video detection. Filtering, vetting, and verifying digital information is an area of core interest in information science. Content present online in the format of news, ...
  • Person Re-identification 
    Sundararajan, Niranjan; Dubey, Vibhu; Subramanyam, A. V. (Advisor) (IIIT-Delhi, 2023-12-11)
    Image-Text Retrieval (ITR) is the task of retrieving an image from a corresponding textual description and/or a textual description from the corresponding image. Person Re-Identification (Person Re-ID) is a downstream task ...
  • 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 ...
  • Prediction of antimicrobial resistance in E.coli based on genome sequence 
    sista, Anurag; Sengupta, Debarka (Advisor) (IIIT-Delhi, 2023-11-29)
    This study addresses the critical issue of antimicrobial resistance (AMR) in Escherichia coli through machine learning techniques. Our methodology includes using already available E.coli strains that are susceptible and ...
  • 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 ...
  • Studying evolution of fake news to hate speech 
    Goel, Vasu; Sahnan, Dhruv; Chakraborty, Tanmoy (Advisor) (IIIT-Delhi, 2021-05)
    Curbing hate speech is undoubtedly a major challenge for online microblogging platforms like Twitter. While there have been studies around hate speech detection, it is not clear how hate speech _nds its way into an online ...
  • Type your thoughts 
    Kaur, Amandeep; Garg, Deepi; Shah, Rajiv Ratn (Advisor) (IIIT-Delhi, 2022-05)
    In the digital age, being able to type becomes an irreplaceable skill. The project focuses on creating efficient systems that allow people with disabilities below the neck or in the four limbs to type using their head ...

Search Repository


Advanced Search

Browse

My Account