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  • Improving the retention time of a dopingless 1T DRAM using gate engineering 
    Agarwal, Nimish; Saurabh, Sneh (Advisor) (IIIT-Delhi, 2019-07)
    In this thesis, a dopingless 1T DRAM with a high retention time is proposed. The high retention time is achieved by suppressing the diffusion current in the device which is responsible for degrading the “0” state. In the ...
  • In-domain conquers commonsense knowledge: leveraging domain-specific toxicity attributes for explanation generation of implied hate speech 
    Yadav, Neemesh; Akhtar, Md. Shad (Advisor) (IIIT-Delhi, 2023-11-29)
    Recognizing subtle and implied forms of hate speech is convoluted. Fine-tuning pre-trained language models (PLMs) to generate an explanation for an incoming implicit statement has become an active area of research. Moreover, ...
  • In-network processing for 5G crypto using FPGA-based NICs 
    Nagar, Ritika; Shah, Rinku (Advisor); Darak, Sumit Jagdish (Advisor) (IIIT-Delhi, 2023-11-29)
    The latest advancements in the field of 5G telecommunications have proposed the requirements of high speeds (~1 Gbps per user) and low latency (< 1 ms) for a new world of possible applications such as AR/VR, autonomous ...
  • In-silico annotation of innate immune system for identification of cancer prognostic biomarkers 
    Kaur, Dilraj; Raghava, Gajendra Pal Singh (Advisor) (IIIT-Delhi, 2022-06)
    Innate immune system response is the initial/first line of defense against invading pathogens. It is non-specific and involves various cells like macrophages, neutrophils, natural killer cells, dendritic cells. The response ...
  • In-silico identification of biomarkers and vaccine candidates for advancement of lung cancer therapeutics 
    Lathwal, Anjali; Raghava, Gajendra Pal Singh (Advisor) (IIIT-Delhi, 2020-09)
    According to the World Health Organization report, around 10 million new cases are diagnosed with cancer in the year 2018 alone. Out of these, nearly 45% of the cancer incidences were reported from the Asian countries, 26% ...
  • In-silico tools for the functional annotation of a protein and prediction of cancer biomarkers 
    Patiyal, Sumeet; Raghava, Gajendra Pal Singh (Advisor) (IIIT-Delhi, 2022-08)
    Proteins play major roles in many biological processes such as enzymes, transporters, replication, transcription, gene expression regulation, repair and building of tissues, energy production, molecule transport, muscle ...
  • Incremental subclass discriminant analysis : a case study in face recognition 
    Lamba, Hemank; Dhamecha, Tejas I; Vatsa, Mayank; Singh, Richa (2012-03-26)
    Subclass discriminant analysis is found to be applicable under various scenarios. However, it is computationally very expensive to update the between-class and within-class scatter matrices. This research presents an ...
  • Indexing and query processing in RDF quad-stores 
    Leeka, Jyoti; Bedathur, Srikanta (Advisor) (IIIT-Delhi, 2017-12)
    RDF data management has received a lot of attention in the past decade due to the widespread growth of Semantic Web and Linked Open Data initiatives. RDF data is expressed in the form of triples (as Subject - Predicate - ...
  • Individual mental health monitoring using edge AI 
    Omar, Krishnam; Girdhar, Samridh; Singh, Pushpendra (Advisor) (IIIT-Delhi, 2023-11-29)
    This study aims to understand the feasibility of a stress detection model through a smartwatch, in the Indian adult population using the physiological data collected for lab and real-life settings. Wearable devices such ...
  • Inference-based LLC-side access pattern estimation for shared cache modeling on commercial processors 
    Hemani, Rakhi; Banerjee, Subhasis; Guha, Apala (2015-05-19)
    Cache contention modeling is necessary for good resource utilization on commercial multicore processors. Our goal is to build cache contention models that are sensitive to changes in, 1) the micro-architecture, 2) ...
  • Information capsule - psychosocial education application 
    Gupta, Kartik; Singh, Pushpendra (Advisor) (2017-05-05)
    Severe Mental Illness is one of the rising cause of concerns throughout the world. In India, the family members of an individual suffering from SMI (like bipolar disorder, Schizophrenia, etc.) play a significant role in ...
  • 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 ...

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