IIIT-Delhi Institutional Repository

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Browsing Computer Science and Engineering by Title

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  • A comparative analysis of large language models for code documentation generation 
    Dvivedi, Shubhang Shekhar; Pujari, Sai Leela Rahul; Vijay, Vyshnav; Lodh, Shoumik; Kumar, Dhruv (Advisor) (IIIT-Delhi, 2023-11-29)
    This paper presents a comprehensive comparative analysis of Large Language Models (LLMs) for code documentation generation. Code documentation is an essential part of the software writing process as it allows a new user ...
  • A comparative study of correlation measures for the application of anomaly detection in data streams 
    Khatri, Sagar; Goyal, Vikram (Advisor) (2017)
    We study two measures namely maximal information coefficient (MIC) and distance correlation (dCor) for the application anomaly detection. MIC is based on the concept of information theory and measures the mutual information ...
  • Comparing 4G internet speeds provided by different ISPs 
    Sharma, Soumya; Naik, Vinayak (Advisor) (2016-11-17)
    With multiple mobile applications for a single function in the market, there is a need to look into the resources the application utilizes as well. In this study, we focus on which resources a particular mobile application ...
  • A comprehensive comparison of strainformer transformer model and baseline machine learning models for future vaccine generation for COVID-19 
    Chilkoti, Mansi; Mohta, Shagun; Sethi, Tavpritesh (Advisor) (IIIT-Delhi, 2023-11-29)
    This project aims to compare traditional baseline models, specifically the Naive Bayes model and the Long Short-Term Memory (LSTM) model, and advanced transformer models, including Strainformer and Vaxformer. The primary ...
  • A comprehensive understanding of code-mixed language semantics using hierarchical transformer 
    S, Tharun; Akhtar, Md. Shad (Advisor); Chakraborty, Tanmoy (Advisor) (IIIT-Delhi, 2022-05)
    Being a popular mode of text-based communication in multilingual communities, code-mixing in online social media has became an important subject to study. Learn- ing the semantics and morphology of code-mixed language ...
  • Computational creativity - virtual muse generative poetry 
    Oberoi, Rishabh; Parikh, Darsh; Agarwal, Manas; Bagler, Ganesh (Advisor) (IIIT-Delhi, 2023-11-29)
    The convergence of artificial intelligence with creative expression has given rise to the emerging field of Computational Creativity, a domain that explores the capacity of machines to generate innovative and aesthetically ...
  • Computational creativity: artificial intelligence models for the generation and classification of affective artwork and their human evaluation 
    Raj, Yash; Bagler, Ganesh (Advisor) (IIIT-Delhi, 2023-06)
    Visual artwork is among the most salient forms of human expression. From prehistoric cave paintings to Renaissance and modern art, paintings have been a powerful medium for expressing emotions. With the advent of computing ...
  • Computational gastronomy: the mathematics of cooking 
    Popat, Meet; Jindal, Shourya; Bagler, Ganesh (Advisor) (IIIT-Delhi, 2023-11-29)
    We propose to build a framework for the generative grammar of cooking analogous to that of languages (Bagler, arXiv:2211.09059, 2022). By defining a cooking recipe as a finite state language, we intend to map elements of ...
  • Computer assisted telephony system 
    Rana, Anurag; Singh, Pushpendra (Advisor) (2015-12-03)
    Telephones have high reach both in developed and developing countries that have made it a preferred tool for collecting and disseminating information. Voice based information collection systems o ffers data collection ...
  • Computer vision applications in wildlife conservation 
    Aggrawal, Palash; Anand, Saket (Advisor) (IIIT-Delhi, 2020)
    Monitoring of protected areas to curb illegal activities like poaching and animal trafficking is a monumental task. To augment existing manual patrolling efforts, unmanned aerial surveillance using visible and thermal ...
  • Confidentiality protection in crowdsourcing 
    Saxena, Simran; Kumaraguru, Ponnurangam (Advisor); Dubey, Alpana (Advisor); Buduru, Arun Balaji (Advisor); Sachdeva, Niharika (Advisor) (IIIT-Delhi, 2018-04)
    Crowdsourcing is the practice of getting information or input for a task or project from a number of people by floating out the task at hand to a pool of people who are usually not full-time employees. Use of Crowdsourcing ...
  • Constant-time snapshots with applications to concurrent data structures 
    Singh, Aayush; Chhillar, Yash; Chatterjee, Bapi (Advisor) (IIIT-Delhi, 2023-05-09)
    This research explores the concurrent implementation of range search operations on quadtrees using Versioning of the data structure. The proposed approach utilizes time-stamped versioned lists to maintain the state of each ...
  • Consumer privacy and targeted pricing with stochastic valuations 
    Mishra, Shreemoy (2014-07-16)
    I study the market for consumer information. Firms cannot commit to privacy, so buyers anticipate disclosure of purchase history for targeted pricing. In the literature, strategic rejections of informative o ers make ...
  • Content moderation across multiple platforms with capsule networks and co-training 
    Agarwal, Vani; Buduru, Arun Balaji (Advisor); Kumaraguru, Ponnurangam (Advisor) (IIIT-Delhi, 2019-05)
    Social media systems provide a platform for users to freely express their thoughts and opinions. Although this property represents incredible and unique communication opportunities, it also brings along important challenges. ...
  • Content quality in web 2.0 services : analysis, detection, systems and enhancement 
    Correa, Denzil; Sureka, Ashish (Advisor) (2014-12-24)
    There has been a proliferation of Web 2.0 sites on the Internet. Contemporary Web 2.0 sites like Facebook and Twitter are primarily driven by user generated content (UGC). On the other hand, the volume of content by such ...
  • Context-aware face recognition 
    Kalra, Harshvardhan; Vatsa, Mayank (Advisor); Singh, Richa (Advisor) (IIIT-Delhi, 2018-07-06)
    Current face recognition systems make extensive use of class-wise disparate features drawn from faces in order to achieve state-of-the-art performances. However, there exists a multitude of information in a given image ...
  • Context-aware IVR : challenges and opportunities 
    Asthana, Siddhartha; Singh, Pushpendra; Singh, Amarjeet; Naik, Vinayak (2012-03-26)
    Voice based telecommunication services are emerging as most appropriate medium for information dissemination in developing regions, as they overcome prevalent low literacy rate and are more reachable than any other ...
  • Contextual analysis of (DE) serialization overheads 
    Chaurasia, Yashasvi; Rangwani, Vishesh; Shah, Rinku (Advisor) (IIIT-Delhi, 2023-12-05)
    With an increase in use of applications that require custom data to be moved across networks and devices, there is an increasing use of different serialization techniques. There are several serialization alternatives ...
  • Contextual feature based one-class classifier approach for detecting video response spam on YouTube 
    Chaudhary, Vidushi; Sureka, Ashish (Advisor) (2013-03-26)
    YouTube is one of the largest video sharing websites (with social networking features) on the Internet. The immense popularity of YouTube, anonymity and low publication barrier has resulted in several forms of misuse and ...
  • Continuous glucose monitoring 
    Sahu, Sahil; Jalote, Pankaj (Advisor); Sethi, Tavpritesh (Advisor) (IIIT-Delhi, 2023-11-29)
    Diabetes is a chronic illness that affects millions of people worldwide and requires regular monitoring of a patient’s blood glucose level. Currently, blood glucose is monitored by a minimally invasive process where a small ...

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