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Browsing Computer Science and Engineering by Title

Browsing Computer Science and Engineering by Title

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  • Sahrawat, Dhruva; Anand, Saket (Advisor); Kaul, Sanjit Krishnan (Advisor) (IIITD-Delhi, 2019-04-15)
    One of the major problems faced with advanced driver assistance systems is to correctly estimate Driver's situation awareness. We detect and track other vehicles and use that to predict if an accident will occur. We propose ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 - ...
  • 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) ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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. ...
  • Ahuja, Yajur; Das, Syamantak (Advisor) (IIIT-DElhi, 2020-06-03)
    We consider a generalization of the classical K-center problem with capacities, demands, and outliers. The capacitated K-center problem adds a constraint to the original K-center problem of every vertex having a capacity ...
  • Sachdev, Astha; Sureka, Ashish (Advisor) (2015-02-16)
    Process mining consists of mining business process event-logs for discovering run-time process models, process compliance verifi cation and extracting useful insights on process e efficiency. Process model discovery from ...
  • Nanda, Vedant; Kumaraguru, Ponnurangam (Advisor) (IIITD-Delhi, 2018-04-18)
    Sel es have become a prominent medium for self-portrayal on social media. Unfortunately, certain social media users go to extreme lengths to click selfies , which puts their lives at risk. Two hundred and thirty-two ...
  • 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 ...

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