IIIT-Delhi Institutional Repository

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Browsing Computer Science and Engineering by Title

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  • Improving software maintenance ticket resolution using process mining 
    Gupta, Monika; Jalote, Pankaj (Advisor); Serebrenik, Alexander (Advisor) (IIIT-Delhi, 2019-12)
    Software maintenance refers to the modification of software product after delivery and is required to correct faults, to improve the performance or other attributes, or to adapt the product to a modified environment. It ...
  • Improving speech to speech conversion with incorporation of speaker tonality 
    Goel, Arnav; Hira, Medha; Gupta, Anubha (Advisor) (IIIT-Delhi, 2023-11-29)
    We benchmark various Speech-to-Text (STT) and Text-to-Speech (TTS) models and performed an extensive literature review on downstream tasks such as Automatic Speech Recognition (ASR), Speech Emotion Recognition, Speaker ...
  • 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 ...
  • Incongruence identification in eyewitness narratives 
    Nair, Akshara; Akhtar, Md. Shad (Advisor) (IIIT-Delhi, 2024-07)
    Eyewitness accounts are crucial to legal and investigative proceedings, serving as foundational sources for reconstructing events. Agencies typically collect multiple statements to achieve a thorough understanding of the ...
  • 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 - ...
  • Indian legal case judgment document mining : semantic segmentation and information extraction 
    Das, Antara; Goyal, Vikram (Advisor) (IIIT-Delhi, 2024-05-01)
    Developing NLP-based techniques to automate tasks in the Indian legal domain is highly demanding due to the enormously increasing volume of legal text documents, intricate legal terminologies, and the need for efficient ...
  • 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 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 ...
  • 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 ...
  • 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 ...
  • 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 ...

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