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  • Information extraction in user's complaints 
    T G, Narayanan; Akhtar, Md. Shad (Advisor) (IIITD, 2022-08)
    The task of Named Entity Recognition is one of the most explored fields in the Natural Language Processing domain. Numerous existing works have tried to uncover different aspects of this common yet unique field. The NER ...
  • Information fusion in location-based services 
    Arya, Shreyash; Kumaraguru, Ponnurangam (Advisor) (IIITD-Delhi, 2018-07-08)
    Location-Based Social Networks(LBSNs) have emerged as major sources of information about users as well as locations. Different LBSNs have different ratings and reviews for a particular location and each claims to have ...
  • Information fusion using convolutional transform learning 
    Gupta, Pooja; Majumdar, Angshul (Advisor) (IIIT-Delhi, 2023-09)
    There are many real-world problems pertaining to the need for the fusion of information from multiple sources. Consider, for example, the problem of demand forecasting that requires estimating the power consumption at a ...
  • Information sharing in multi agent systems 
    Pai, Sharan; Sujit, PB (Advisor) (IIITD-Delhi, 2019-11)
    To investigate the effcacy of Information Sharing Schemes in Decentralized Multi-Agent Systems. We mainly focused on a Multi-Agent framework for Multi-Task Learning and then moved to Information sharing with Experience-based ...
  • Innovative augmentation of impedance transformation in the design of highly flexible multi-functional RF/microwave circuits and components 
    Gupta, Rahul; Hashmi, Mohammad S. (Advisor) (IIIT-Delhi, 2021-07)
    The burgeoning of a multi-standard wireless communication system (WCS) with the multitude of emerging applications has been permeating the design and development of radio frequency (RF) circuits and components of the ...
  • 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 ...
  • Innovative graph based transformer model for ECG data analysis 
    Raj, Aditya; Gupta, Anubha (Advisor) (IIIT-Delhi, 2023-11-29)
    In this research, we attempt to create a state-of-the-art model for the classification of the PTBXL dataset and improve upon already established metrics. Firstly, we use the previous best model, ST-CNN-GAP-5 and introduce ...
  • Innovative graph based transformer model for ECG data analysis 
    Jain, Nalish; Gupta, Anubha (Advisor) (IIIT-Delhi, 2023-11-29)
    In this research, we attempt to create a state-of-the-art model for the classification of the PTBXL dataset and improve upon already established metrics. Firstly, we use the previous best model, ST-CNN-GAP-5 and introduce ...
  • An inquiry into the justification and limitations of free speech on social media 
    Ethakota, Satvika; Kumar, Manohar (Advisor) (2022-05)
    Violence attributed to online hate speech has increased worldwide. A mounting number of attacks on immigrants and other minorities has raised new concerns about the connection between inflammatory speech online and violent ...
  • Insight from RNA-DNA interaction for regulation of activity of repeat elements and genes 
    Chauhan, Neetesh; Kumar, Vibhor (Advisor) (IIIT-Delhi, 2022-05)
    The RNA world is yet to be understood properly, and the same goes for repeat regions as there has been much research going on to understand their regulatory roles. Here, we have analyzed the RNA-DNA interaction and their ...
  • Intelligent and reconfigurable ultra-wideband spectrum characterization at sub-nyquist rate 
    Joshi, Himani; Darak, Sumit Jagdish (Advisor) (IIIT-Delhi, 2021-11)
    Historically, throughput is one of the key performance indicators driving the transition to next-generation cellular networks. The throughput per square kilometer depends on three factors: 1) Available spectrum, 2) Base ...
  • Intelligent annotation tool for multi-sensor visual recognition tasks 
    Deshwal, Aruj; Rawat, Abhinav; Anand, Saket (Advisor); Shukla, Jainendra (Advisor); Shah, Rajiv Ratn (Advisor) (IIIT-Delhi, 2022-12)
    This project aims to create a multi sensor annotation tool capable of annotating lidar and camera data. To reduce annotation time it will have the capability of creating annotations for the camera images by projecting the ...
  • Intelligent camera selections in a camera network 
    Sharma, Anil; Anand, Saket (Advisor); Kaul, Sanjit Krishnan (Advisor) (IIIT-Delhi, 2022-07)
    Surveillance camera networks are a useful monitoring infrastructure dat can be used for various visual analytics applications, where high-level inferences and predictions could be made based on target tracking across teh ...
  • Interactive playback in XR 
    Kritika; Parnami, Aman (Advisor) (IIIT- Delhi, 2021-05)
    With a thorough literature study, challenges pertinent to this asynchronous collaboration were identified. Out of them, this work focuses on change awareness. Change awareness is defined as the knowledge that collaborator(s) ...
  • Interference cancellation and energy harvesting techniques for cooperative spectrum sharing cognitive radio systems 
    Jain, Neha; Bohara, Vivek Ashok (Advisor) (2015-12-07)
    With the exponential increase in wireless applications, there arises the need to utilize the spectrum more efficiently. Cooperative spectrum sharing (CSS) schemes have been proposed as a viable framework for cognitive radio ...
  • Interoperability model for health information systems and associated benefits challenges and approach 
    Mehra, Apurv; Singh, Amarjeet (Advisor) (IIIT Delhi, 2014-09-05)
    Recent IT advancements have resulted digital collection of health related information. There exist diverse health information systems today, each addressing a speci c need in the healthcare domain e.g. Hospital Information ...
  • Interpreting single cell transcriptomes in the pathway space and its applications in cancer 
    Chawla, Smriti; Sengupta, Debarka (Advisor); Kumar, Vibhor (Advisor) (IIIT-Delhi, 2022-09)
    Single-cell transcriptomics is a powerful technique that has revolutionized our approach to dissect cellular phenotypes and diversity in complex tissues at an unprecedented res- olution. The emergence of this groundbreaking ...
  • Introducing ‘nocoalias’ attribute to improve context-sensitive alias analysis in LLVM 
    Manas; Kedia, Piyus (Advisor) (IIIT-Delhi, 2022-12)
    The technique of alias analysis enables us to determine which memory locations can be accessed via different access paths. But finding objects satisfying aliasing sets is hard. We present a context-sensitive approach to ...
  • Investigating computational techniques for micro-level and macro-level transportation problems on urban road networks 
    Kaur, Ramneek; Goyal, Vikram (Advisor); Gunturi, Venkata M. Viswanath (Advisor) (IIIT-Delhi, 2022-06)
    Transportation is a fundamental task in modern-day civilization. Examples of transportation in our daily lives include going to the workplace, returning home after work, etc. In this thesis, we investigate computational ...
  • Investigation of timing of logic gates realized using probabilistic spin logic (PSL) 
    Bhatia, Ishan; Saurabh, Sneh (Advisor) (IIIT-Delhi, 2019-07)
    Probabilistic Spin Logic (PSL) is a fascinating computing model composed of fundamental stochastic units called probabilistic bits (p-bits). A p-bit can be realized using low-barrier nanomagnets. It can be combined to ...

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