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  • Power estimation using transaction level modeling 
    Chandoke, Nidhi; Deb, Sujay (Advisor) (2015-12-07)
    The increasing complexity of current day Systems-on-Chip and the rising market demands for low power devices has necessitated the need to perform power analysis of the complete system-on-chip at system level. This ...
  • Power network analysis using frequency domain approach 
    Jain, Abhishek; Hashmi, Mohammad S. (Advisor) (2015-12-07)
    With reduction in size and shrinking in geometry, we have reached a point in time in which we no more can draw a direct correlation of the performance of the IC design with respect to the number of transistors on a single ...
  • Power- and performance-aware on-chip interconnection architectures for many-core systems 
    Mondal, Hemanta Kumar; Deb, Sujay (Advisor) (IIIT-Delhi, 2017-04)
    Networks-on-Chip (NoCs) are fast becoming the de-facto communication infrastructures in Chip Multi-Processors (CMPs) for large-scale applications. The traditional approaches of implementing a NoC with planar metal interconnects ...
  • A practical methodology to waive marginal timing violations using machine learning 
    Kumar, Rajat; Saurabh, Sneh (Advisor) (IIIT-Delhi, 2022-07)
    Achieving timing closure is a challenging task, and it becomes more complicated due to the artificial pessimism in the traditional timing models of the flip-flops. During the signoff stages, we can alleviate this problem ...
  • 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 prediction of probiotic species in the gut using statistical and machine learning 
    Sharma, Aditya Aryan; Harshal; Ghosh, Tarini Shankar (Advisor) (IIIT-Delhi, 2023-11-29)
  • 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 ...
  • Prediction of disease genes using transcription factor binding pattern 
    Vimal, Anand; kumar, Vibhor (Advisor); chandra, Omkar (Advisor) (IIIT-Delhi, 2023-10-29)
    This study presents a novel approach leveraging machine learning techniques to analyze epigenomic and transcription factor binding patterns for the identification of key genes, including non-coding genes, associated with ...
  • Prediction of high-risk cancer patients using clinical factors and expression profile of apoptosis regulators 
    Arora, Chakit; Raghava, Gajendra Pal Singh (Advisor) (IIIT-Delhi, 2021-08)
    With about 19 million occurrences and 10 million mortalities in 2020, “Cancer” is the second leading source of mortality worldwide (WHO GLOBOCAN). The top three continents burdened with cancer deaths are Asia (58.3 percent), ...
  • Prediction of microbial colonization in human gut and oral microbiomes 
    Mithun; Ghosh, Tarini Shankar (Advisor) (IIIT-Delhi, 2023-11-29)
    This study seeks to forecast microbial colonization in the human gut and oral microbiomes by examining various factors, including diet, host genetics, and environmental influences. Through the utilization of sophisticated ...
  • Predictive analysis of safety subsystems in memories for diagnostic coverage 
    Srinivasan, Arvind; Hashmi, Mohammad S. (Advisor); Janardan, Dhori Kedar (Advisor) (2015-12-07)
    Automobile safety is becoming an important subject because of the large number of electronic systems being integrated within a System on Chip (SoC) and with the use of current state-of-the-art technology, safety is becoming ...
  • Predictors of countries' positions on lethal autonomous weapons systems 
    Soni, Prabhat; Priyadarshi, Praveen (Advisor) (IIIT-Delhi, 2022-05)
    Finding what does (and doesn't) predict countries' positions on lethal autonomous weapons systems (LAWS) could be very valuable in informing the decisions of countries and NGOs. This report tests the predictive power of ...
  • Preliminary diagnosis of sleep apnea using a mobile app 
    Gupta, Shuchita; Sharma, Yashovardhan; Naik, Vinayak (Advisor) (2016-11-17)
    We are building a low-cost and portable device, which can be controlled by patient's Android smartphone, to measure sleep. The device is easy to use and consists of Airow (Rate of respiration), Pulse Oximeter (Heart rate ...
  • Presentation attack detection for face biometrics 
    Sanghvi, Nilay; Singh, Sushant Kumar; Vatsa, Mayank (Advisor); Singh, Richa (Advisor) (IIIT-Delhi, 2020-06-01)
    The non-intrusive nature and high accuracy of face recognition algorithms have led to their successful deployment across multiple applications ranging from border access to mobile unlocking and digital payments. However, ...
  • Privacy and security in online social media-studying political settings and protests in online space 
    Agrawal, Vibhu; Kumaraguru, Ponnurangam (Advisor) (IIIT-Delhi, 2021-12)
    India is a diverse country with very active politics. In recent times (2014-2021), a lot of polit- ical activities have stirred activities in the online space. These political activities range from Elections to Protests ...
  • Privacy of location obfuscation 
    Bera, Debajyoti; Goyal, Vikram; Saxena, Anuj S. (2012-03-26)
    There are many results on the possibilities of privacy leak in location-based services, and many remedies have also been suggested. In this paper, we look at this problem from an altogether different perspective - ...

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