IIIT-Delhi Institutional Repository

Browsing Computer Science and Engineering by Title

Browsing Computer Science and Engineering by Title

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  • Performance analysis of graph processing frameworks 
    Reddy, Kompelly Harshavardhan; Goyal, Vikram (Advisor) (2015-12-03)
    Graphs have always been an interesting structure to study in both mathematics and computer science , and have become even more interesting in the context of online social networks, recommendation networks whose underlying ...
  • Performance evaluation of OFDMA in IEEE 802.11ax 
    Sikka, Utkrisht; Maity, Mukulika (Advisor) (IIIT-Delhi, 2022-12)
    High speed WiFi has become a necessity now-a-days. The latest standard of WiFi, IEEE 802.11ax, makes use of OFDMA, MU-MIMO, frame aggregation from different access categories, edca protocol, special Trigger frames that ...
  • Performance-aware design-space optimization and attack mitigation for emerging heterogeneous architectures 
    Sinha, Mitali; Deb, Sujay (Advisor) (IIIT-Delhi, 2022-04)
    In recent years, as multi-core processors are emerging as a solution to the limitations of power scaling, the software domain is also experiencing a surge of compute and data-intensive applications. These applications are ...
  • Person Re-identification 
    Sundararajan, Niranjan; Dubey, Vibhu; Subramanyam, A V (Advisor) (IIIT-Delhi, 2023-12-11)
    Image-Text Retrieval (ITR) is the task of retrieving an image from a corresponding textual description and/or a textual description from the corresponding image. Person Re-Identification (Person Re-ID) is a downstream task ...
  • Personal health records app 
    Yadav, Nittin; Sethi, Tavpritesh (Advisor) (IIIT-Delhi, 2023-11-29)
    Health Interoperability has become a major concern in today’s period in which health records data is increasing rapidly. New healthcare hospitals and facilities are emerging increasing the need to create an interoperable ...
  • Personalized federated self supervised multitask learning 
    Rastogi, Divyansh; Prasad, Ranjitha (Advisor) (IIIT-Delhi, 2022-12)
    Federated learning has been a popular research subject in allowing diverse people and businesses to collaborate on machine learning model training while maintaining privacy. Additionally, in today’s world there is an ...
  • PhishAri : automatic realtime phishing detection on Twitter 
    Aggarwal, Anupama; Kumaraguru, Ponnurangam (Advisor) (2013-10-11)
    With the advent of online social media, phishers have started using social networks like Twitter, Facebook, and Foursquare to spread phishing scams. Twitter is an immensely popular micro- blogging network where people ...
  • Photo DNA 
    Singh, Aditya; Vatsa, Mayank (Advisor); Singh, Richa (Advisor) (IIIT Delhi, 2020-05-26)
    Awareness of sexual abuse of children has grown enormously over the past two decades - however, the recent advancements in technology has also made it easier to propagate it. To tackle this problem, we develop an image ...
  • Physically based volume rendering 
    Gupta, Ojaswi; Sharma, Ojaswa (Advisor) (2016-04-28)
    Physically Based Volume Rendering involves solving the Radiative Transfer Equation (with the Rendering Equation as its boundary condition) in-silico to produce images that are indistinguishable from reality. Graphics ...
  • PickMe : task allocation in mobile crowdsensing 
    Bajaj, Garvita; Singh, Pushpendra (Advisor) (IIIT-Delhi, 2018)
    I am eternally grateful to a lot of people who, in no particular order, have helped me get through the tough times during the course of this dissertation. I have no words to thank my lovely parents who have always taught ...
  • Planar modeling of indoor scenes using RGBD images 
    Tripathi, Shreya; Anand, Saket (Advisor) (2016-09-15)
    3D registration of scenes is a widely researched topic. Since the availability of low cost sensors like the Kinect RGB-D cameras, they are being extensively used for additional depth information about the scene. Most of ...
  • Policy document summarization with controlled abstractive techniques 
    Fazili, Sehban; Akhtar, Md. Shad (Advisor) (IIIT-Delhi, 2023-05)
    Privacy policies are often lengthy and complex, hindering individual’s ability to make informed decisions about their data privacy. Abstractive summarization techniques can improve accessibility and transparency, but there ...
  • Post-hoc explainable methods: uncertainty in counterfactual explanations 
    Reddy, Mortala Gautam; Prasad, Ranjitha (Advisor) (IIIT-Delhi, 2023-11-29)
    With the introduction of the EU’s GDPR in 2017, lawmakers have emphasized the importance of algorithmic decisions being explainable to people affected by those decisions. This has led to a major focus being put on Explainable ...
  • Power down : analyzing eff ectiveness of diff erent feedback techniques towards reducing energy consumption for dormitory residents 
    Deepika; Singh, Amarjeet (Advisor) (2014-11-14)
    Energy has become basis of human life today. Practically, we rely on energy for everything we do every single day. As a result, the rate of consumption of energy has increased manifold and thereby has become a global ...
  • Pragamana : performance comparison and programming -miner algorithm in relational database query language and NoSQL column-oriented using apache phoenix 
    Gupta, Kunal; Sureka, Ashish (Advisor) (2015-05-05)
    Process-Aware Information Systems (PAIS) support business processes and generate large amounts of event logs from the execution of business processes. An event log is represented as a tuple of CaseID, Timestamp, Activity and ...
  • Predicting breast cancer subtypes from 3D MRI scans using pyradiomics 
    Sharma, Ayush; Kumar, Dhruv (Advisor) (IIIT-Delhi, 2023-11-25)
    Breast cancer is a complex and heterogeneous disease with varying clinical outcomes and treatment responses among different subtypes. Accurate classification of breast cancer subtypes is crucial for personalized treatment ...
  • Predicting deep learning architecture 
    Chauhan, Arushi; Vatsa, Mayank (Advisor); Singh, Richa (Advisor) (IIIT-Delhi, 2020-06-02)
    Convolutional neural networks are being extensively used in real world applications like image and video classification, natural language processing, medical image analysis, recommender systems etc. where previously machine ...
  • Predicting tropical cyclone formation and its landfall’s characteristics 
    Kumar, Sandeep; Pandey, Ashish Kumar (Advisor) (IIIT-Delhi, 2022-10)
    Disaster risk reduction is integral to social and economic development as per the 2030 Agenda of Sustainable Development. Among all the natural disasters, storms and floods have significant contributions in terms of their ...
  • Prediction of antimicrobial resistance in E.coli based on genome sequence 
    sista, Anurag; Sengupta, Debarka (Advisor) (IIIT-Delhi, 2023-11-29)
    This study addresses the critical issue of antimicrobial resistance (AMR) in Escherichia coli through machine learning techniques. Our methodology includes using already available E.coli strains that are susceptible and ...
  • Prediction of bacterial hosts of bacteriophages 
    Aggarwal, Suchet; Raghava, Gajendra Pal Singh (Advisor) (IIIT-Delhi, 2022-05)
    The growth of metagenomics has accelerated the discovery of new organisms. One such class of organism is viruses that infect bacteria called bacteriophages (or simply phages). The therapeutic use of phages to cure bacterial ...

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