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  • End-to-end performance analysis of MIMO-OFDM based wireless transceivers in the presence of hardware impairments 
    Aggarwal, Parag; Bohara, Vivek Ashok (Advisor) (IIIT-Delhi, 2019-05)
    Wireless communication systems based on multi-antenna multi-carrier modulation techniques such as multi-input-multi-output (MIMO) orthogonal frequency division multiplexing (OFDM) have become the state-of-art method for a ...
  • Energy consumption prediction of residential buildings 
    Diwan, Parikshit; Singh, Pushpendra (Advisor) (IIIT-Delhi, 2018-04-18)
    Residential Electricity consumption accounts for 25% of electric energy consumption consumed in India and is expected to increase in the future to rapid urbanization, growing income levels, etc. In this project we have ...
  • Energy harvesting and application of deep learning in spatial modulation 
    Verma, Harsh; Bohara, Vivek Ashok (Advisor); Gupta, Anubha (Advisor) (IIIT-Delhi, 2021-12)
    In this semester, We have worked on the following research problems: 1. Energy Harvesting ADCs: A common sample-and-hold (S/H) based ADC architecture tracks the analog signal for a fraction of the sampling period, and the ...
  • An energy-efficient hybrid DAC based SAR ADC using deep-submicron CMOS and large-area oxide TFT technologies 
    Tiwari, Bhawna; Bahubalindruni, Pydi Ganga Mamba (Advisor); Barquinha, Pedro (Advisor); Goes, João (Advisor); Deb, Sujay (Advisor) (IIIT-Delhi, 2022-12)
    The successive approximation-register (SAR) analog-to-digital converters (ADCs) have excellent energy efficiency compared to other Nyquist-rate ADCs like Flash,Pipeline, etc. The simplest form of a SAR ADC employs ...
  • Enforcing privacy for location based services 
    Saxena, Anuj Shanker; Goyal, Vikram (Advisor); Bera, Debajyoti (Advisor) (IIIT-Delhi, 2019-04)
    The ubiquity of mobile devices has led to the deployment of many mobile applications for providing different types of services, like internet access, route recommendation, cab finder, nearby friends, etc. Some of these ...
  • Enhanced state of health prediction of battery using machine learning and digital twin 
    Sharma, Raghav; Kumar, Shobhit; Shankhwar, Kalpana (Advisor) (IIIT-Delhi, 2023-11-29)
    In the digital age, use of batteries has increased manifold and thus, our dependence on them. It becomes critical that we are able to accurately predict the remaining charge and the state of health of the battery for safe ...
  • Entrepreneurial venture Memboro 
    Yadav, Anshul; Sethi, Tavpritesh (Advisor) (IIIT-Delhi, 2022-05)
    There is no reliable or sustainable source of revenue for content creators and artists of all kinds. They rely heavily on brand collaborations and advertising in which a major share is taken by the companies. Their creative ...
  • Entrepreneurial venture: creating a fashion brand that symbolizes fitness 
    Jain, Pranay; Sethi, Tavpritesh (Advisor) (IIIT-Delhi, 2021-05)
    Physical Health is an integral part of one’s health, which is affected by Physical Fitness, Nutrition, Sleep Cycle, etc. Among these, Physical Fitness is something people like to talk about and show the most. We are creating ...
  • Entrepreneurship: gastronomy and creativity 
    Malhotra, Chirag; Bagler, Ganesh (Advisor) (IIIT-Delhi, 2023-11-29)
    This B.Tech project, titled ”Entrepreneurship: Gastronomy and Creativity,” focuses on designing and implementing entrepreneurship projects in the domains of Computational Gastronomy and Creativity. The project involves the ...
  • Enveave: advancements in a multi-stakeholder environmental platform 
    Teng, Aryan; Vashishta, Avi; Jalote, Pankaj (Advisor) (IIIT-Delhi, 2023-11-29)
    In the latest phase of the Enveave project, our team focused on advancing the platform’s capabilities and user experience. This semester’s work included significant enhancements, such as introducing a new stakeholder type, ...
  • Environmental sensing 
    Pedro, Antonio; Kumar, Vasanth; Manideep; Sri Charan, Devi; Shah, Rajiv Ratn (Advisor); Choudhary, Vishal (Advisor) (IIIT-Delhi, 2023-05-09)
    This project addresses growing environmental concerns by developing a comprehensive environmental monitoring system. It uses a NodeMCU-32s board with various sensors to collect data on environmental parameters, transmitting ...
  • Escort bot for the visually challenged 
    Maji, Kartik; Sinha, Shubham; Aggarwal, Taruvar; Singh, Pushpendra (Advisor) (2017-04-30)
    The present invention, generally relates to a navigation aid for visually challenged people, and is essentially an escort bot system and method for providing navigational aid to the visually challenged and senior citizens.
  • Estimating genetic selection with unified approach and studying its effect on human phenome 
    Lakra, Nikhil Mark; Kumar, Vibhor (Advisor) (IIIT-Delhi, 2021-12)
    Natural selection is a mechanism of evolution, and genetic mutations form the basis of this evolutionary mechanism. With humans migrating out of Africa and inhabiting different parts of the earth, different populations ...
  • Estimating radar detection coverage probability of targets in a cluttered environment using stochastic geometry 
    Singh, Gaurav; Ram, Shobha Sundar (Advisor) (IIIT-Delhi, 2020-07)
    We analyze the performance of a radar in an environment where clutter is constituted by discrete scatterers whose radar cross-sections are comparable to that of the target. An indoor radar deployment to detect humans in ...
  • Estimation and concealment of forensic multimedia signatures 
    Mehrish, Ambuj; Subramanyam, A V (Advisor) (IIIT-Delhi, 2019-12)
    The remarkable evolution of digital imaging techniques, processing and sharing in the past decades has spurred the penetration of multimedia into our lives. Unaccountable and ubiquitous use of multimedia brings severe ...
  • Evaluation framework for technology agnostic hybrid NoC architecture 
    Kishore, Raghav; Deb, Sujay (Advisor) (2016-09-12)
    Performance of emerging multicore systems is significantly influenced by the efficiency of the communication fabric that glues the entire system together. Large number of cores results in excessive energy consumption while ...
  • An evaluation of multi-user OFDMA performance in WiFi 6 and its optimization for deadline constrained settings 
    Dev, Harshal; Maity, Mukulika (Advisor); Bhattacharya, Arani (Advisor) (IIIT-Delhi, 2021-12)
    IEEE 802.11ax, popularly known as WiFi 6, introduces OFDMA (Orthogonal Frequency Division Multiple Access) that allows multiple users to transmit or receive frames concurrently via a more flexible utilization of the available ...
  • Executable model based design methodology for fast prototyping of mobile network protocol : a case study on mipi lli 
    Shah, Rahul Kumar; Fell, Alexander (Advisor) (IIIT Delhi, 2014-09-06)
    Future mobile communication systems incorporate more sophisticated functionalities which im- prove their performance and increase their complexity. In order to reduce their time to market, the RTL development as well the ...
  • Explainability of black box deep learning models and bias detection 
    Arora, Kushagr; Goyal, Vikram (Advisor) (IIIT- Delhi, 2021-05)
    Explanation of predictions made by black-box deep learning models has been rather challenging, especially when neither the model details nor its training data are known. Various techniques based on shadow-model have been ...
  • Explainable positive unlabeled learning for large sparse data 
    Singh, Deepak; Kumar, Vibhor (Advisor) (IIIT-Delhi, 2023-11-22)
    There are scenarios in machine learning problems when the available class is only positive, and the rest of the data points are unlabelled. In our current approach, for a given disease-gene set, given members of the gene ...

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