IIIT-Delhi Institutional Repository

Browsing by Subject "Machine Learning"

Browsing by Subject "Machine Learning"

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  • 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 ...
  • 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 ...
  • 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 ...
  • 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. ...
  • 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 ...
  • 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 ...
  • Machine learning assisted EDFA modelling for gain and ASE prediction 
    Singh, Kshitiz; Mitra, Abhijit (Advisor) (IIIT-Delhi, 2022-05)
    Machine Learning methods and algorithms have found use in a vast number of industries, including the optical networks industries. One of the key components of any optical network is the Erbium Doped Fibre Amplifier, or ...
  • Meta-pathway based analysis of stemness 
    Choudhary, Saurav Kumar; Kumar, Vibhor (Advisor) (IIIT-Delhi, 2022-05)
    Recent development in the field of stem cell research field has evoked the great expectations. Researchers these days are full fledgedly working on developing methods to use self renewal potentials of stem cells in treating ...
  • Modeling the impact of social determinants of health and public health interventions 
    Awasthi, Raghav; Sethi, Tavpritesh (Advisor) (IIIT-Delhi, 2023-06-03)
    Social determinants of health (SDOH) are the non-medical factors that play a vital role in public health and form the basis of health policies. Building an effective public health policy is a complex endeavor that ...
  • Multimodal fake news analysis and detection 
    Dhawan, Mudit; Kumaraguru, Ponnurangam (Advisor); Shah, Rajiv Ratn (Advisor) (IIIT-Delhi, 2021-12)
    Fake News has become the curse of our time. Online social media networks provide a low-cost platform to facilitate information and fact sharing, but it fails to o er any quality control. As the number of people receiving ...
  • Multimodal fake news detection on online social 
    Dabas, Karan; Kumaraguru, Ponnurangam (Advisor); Chakraborty, Tanmoy (Advisor); Shah, Rajiv Ratn (Advisor) (IIITD-Delhi, 2018-04-18)
    The rapid growth in the amount of fake news on instant messaging platforms and social media is a very serious concern in our society. Moreover, the ubiquitous availability of smartphones, affordable network infrastructure, ...
  • 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, ...
  • Protein-based in silico models to predict infectious strains of Influenza A 
    Roy, Trinita; Raghava, Gajendra Pal Singh (Advisor) (IIIT-Delhi, 2022-05)
    Influenza A, an infectious viral disease affecting the lungs, is a significant public health concern. It has already caused four pandemics in the past, and some strains are now seasonal. Being zoonotic, the virus is ...

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