IIIT-Delhi Institutional Repository

Browsing by Subject "Machine Learning"

Browsing by Subject "Machine Learning"

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  • Adaptive algorithms for control of robots 
    Natarajan, Ashwin Ram; Roy, Sayan Basu (Advisor) (IIIT-Delhi, 2023-11-29)
    Adaptive control is essential for the successful operation of robots in unknown environments. Existing literature involves the use of mathematical assumptions and regression techniques for estimation. This BTP develops an ...
  • Advancing gene signature discovery with generative models : a case study in sepsis 
    Sharma, Anjali; Sethi, Tavpritesh (Advisor) (IIIT-Delhi, 2023-05-01)
    Sepsis and diabetes present intricate medical conditions that present substantial challenges to healthcare systems globally. Timely detection and precise diagnosis are critical in facilitating effective treatment and ...
  • Advertisement understanding 
    Garikaparthi, Aniketh; Shah, Rajiv Ratn (Advisor) (IIIT-Delhi, 2023-11-29)
    In the contemporary landscape of marketing, online video advertisements have emerged as a potent force, wielding the ability to captivate audiences and mold consumer behavior. This research delves into the intricate realm ...
  • 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 ...
  • Analysing the affect of navigation system voice on driving performance 
    Samal, Vishal; Gupta, Ankit Raj; Shukla, Jainendra (Advisor) (IIIT-Delhi, 2020-12)
    Driving is a demanding task both mentally and physically. Our emotional state can have a signi ficant effect on our driving performance. Due to which automobile organizations have been interested in developing emotionally ...
  • Audio visual consistency detection 
    Pathak, Harsh; Govil, Shreedhar; Subramanyam, A V (Advisor) (IIIT-Delhi, 2019-11-16)
    With recent advancement in deep learning, it has been made possible to create fake images and videos with near perfect precision. This has led to a growing concern about the possible misuse of this technology in context ...
  • 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 ...
  • 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 ...
  • 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 ...
  • Computational gastronomy: novel recipe generation with constraint optimization 
    Sindhwani, Ishita; Bagler, Ganesh (Advisor) (IIIT-Delhi, 2023-05-09)
    In response to the escalating demand for the generation of novel and diverse cooking recipes, this research in Natural Language Processing introduces a new tool—Ratatouille. The tool utilizes various Deep Learning models, ...
  • Cuisine fusion 
    Gupta, Arsh; Makkar, Kshitij; Bagler, Ganesh (Advisor) (IIIT-Delhi, 2023-11-29)
    With growing diversity in personal food preference and regional cuisine style, personalized information systems that can transform a recipe into any selected regional cuisine style that a user might prefer would help food ...
  • 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 ...
  • Detecting activities at metro stations using smartphone sensors 
    Mongia, Aanchal; Gunturi, Venkata M. Viswanath; Naik, Vinayak (IIIT-Delhi, 2017-11-29)
    Our paper aims to build a classification-model which delineates the typical motion-related activities performed at a metro station using smart phone sensors. We focus on typical movements, such as climbing the stairs or ...
  • 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 ...
  • 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 ...
  • EATM 
    Pruthi, Parikshit Kumar; Girsa, Rajan; Butta, Shubhankar R.; Biyani, Pravesh (Advisor) (IIITD-Delhi, 2019-11)
    EATM is an automated vending machine that uses several machine learning and computer vision techniques for object detection. It is a similar model to Amazon Go and uses mainly camera and RF system for object detection. ...

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