IIIT-Delhi Institutional Repository

Browsing Year-2020 by Issue Date

Browsing Year-2020 by Issue Date

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  • Lodhi, Khalid; Darak, Sumit Jagdish (Advisor) (IIIT- Delhi, 2020-05)
    The continuously increasing demand for wireless communication technology has enabled the advancement from 1G to 5G and even beyond 5G. Synchronization is a time-frequency domain communication network that enables the UE ( ...
  • Singh, Akshat; Deb, Sujay (Advisor) (IIIT Delhi, 2020-06-01)
    As the number of heterogeneous systems in Systems-on-Chip (SoCs) increases, bus-based interconnection architectures act as a bottleneck to meet the performance required by many applications. For systems with very high ...
  • Ramanathan, Nakul; Malhotra, Sanchit; Biyani, Pravesh (Advisor) (IIIT-Delhi, 2020-06-03)
    Load forecasting is a challenging problem and many Machine Learning approaches have been used for the estimation of power consumption in the recent years. The Indian Railways is a vast railway network. It is divided into ...
  • Jain, Drishti; Sethi, Tavpritesh (Advisor) (IIIT- Delhi, 2020-12)
    Following the tsunami of misinterpreted, manipulated and malicious information growing on the Internet, the misinformation surrounding COVID-19 has taken centre stage. In the context of the current COVID-19 pandemic, ...
  • Samal, Vishal; Gupta, Ankit Raj; Shukla, Jainendra (Advisor) (IIIT-Delhi, 2020-12)
    Driving is a demanding task both mentally and physically. Our emotional state can have a signi ficant effect on our driving performance. Due to which automobile organizations have been interested in developing emotionally ...
  • Eshita; Kanjilal, Kiriti (Advisor) (IIIT-Delhi, 2020-12)
    The COVID-19 crisis has made it clear that even for developed economies, like the USA, severe nancial disruptions can drag down the whole economy. It is considered the worst nancial crisis since the Great Depression. As ...
  • Santosh, Siripurapu Venkata Sai; Darak, Sumit Jagdish (Advisor) (IIIT- Delhi, 2020-12)
    Multi-armed bandit (MAB) algorithms are designed to identify the best arm among several arms in an unknown environment. They guarantee optimal balance between exploration (select all arms sufficient number of times) and ...

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