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Browsing Computer Science and Engineering by Title

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  • Implicit and explicit hate speech detection 
    Aggarwal, Yash; Chakraborty, Tanmoy (Advisor); Akhtar, Md. Shad (Advisor) (IIIT-Delhi, 2022-05)
    With an increasing amount of hate on online social media platforms, automatic detection of toxic language plays a protecting role for online users and content moderators. Hence, it be- comes important to ensure that these ...
  • Improving face recognition performance using color, shape, symmetry and texture attributes 
    Suri, Saksham; Vatsa, Mayank (Advisor); Singh, Richa (Advisor) (IIITD-Delhi, 2019-01-10)
    The human mind processes the information in a complex fashion including utilization of color, shape, texture and symmetry-related meta-information. but in conjunction with a strong (domain) knowledge, these can boost the ...
  • Improving memory utiliza- tion and security of software applications by performing static program analysis and program transformation 
    Khilariwal, Vishisht; Purandare, Rahul (Advisor) (2017-07-05)
    Memory or RAM of a device contains a lot of data.This work focuses on how to ensure security of our critical data like our passwords or encryption keys stored in the memory which if become public can pose a big security ...
  • Improving road safety through accident detection and prediction in dashcam videos 
    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 ...
  • 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 ...
  • 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 ...
  • 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 - ...
  • 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 ...
  • 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 ...
  • 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. ...
  • K-center problems 
    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 ...

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