Nihar Thakkar

ORCID: 0000-0001-9846-5735
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About
Contact & Profiles
Research Areas
  • Blockchain Technology Applications and Security
  • Fluid Dynamics and Heat Transfer
  • COVID-19 Digital Contact Tracing
  • Mobile Health and mHealth Applications
  • Financial Markets and Investment Strategies
  • Fluid Dynamics and Mixing
  • Topic Modeling
  • Natural Language Processing Techniques
  • Fluid Dynamics and Thin Films
  • Market Dynamics and Volatility
  • Stock Market Forecasting Methods
  • Text Readability and Simplification
  • Cloud Computing and Resource Management
  • Lattice Boltzmann Simulation Studies
  • Consumer Market Behavior and Pricing
  • Privacy, Security, and Data Protection
  • IoT and Edge/Fog Computing
  • Heat Transfer and Boiling Studies

Nirma University
2018-2022

Indian Institute of Technology Bombay
2018

Cryptocurrencies are peer-to-peer-based transaction systems where the data exchanges secured using secure hash algorithm (SHA)-256 and message digest (MD)-5 algorithms. The prices of cryptocurrencies highly volatile follow stochastic moments have reached their unpredictable limits. They commonly used for investment become a substitute other types like metals, estates, stock market. Their importance in market raises strict requirement sturdy forecasting model. However, cryptocurrency price...

10.1109/access.2022.3163305 article EN cc-by IEEE Access 2022-01-01

Cryptographic forms of money are distributed peer-to-peer (P2P) computerized exchange mediums, where the exchanges or records secured through a protected hash set secure algorithm-256 (SHA-256) and message digest 5 (MD5) calculations. Since their initiation, prices seem highly volatile came to amazing cutoff points during COVID-19 pandemic. This factor makes them popular choice for investors with an aim get higher returns over short span time. The colossal high low in digital costs have...

10.1109/access.2022.3163023 article EN cc-by IEEE Access 2022-01-01

In the present work, we investigate dynamics of a bubble, rising inside vertical sinusoidal wavy channel. We carry out detailed numerical investigation using dual grid level set method coupled with finite volume based discretization Navier–Stokes equation. A parametric is carried to identify fate bubble as function Reynolds number, Bond and amplitude channel wall represented regime map. At lower number (high viscous force), find negligible wobbling (path instability) in rise accompanied only...

10.1063/1.5092870 article EN Physics of Fluids 2019-05-01

A coupled level-set and immersed-boundary-method (CLSIBM) is proposed for simulation of liquid gas phase flow during filling a complex geometry based mold using modified cut-cell technique. The CLSIBM uses Cartesian computational domain, with two functions: ϕf1,f2 liquid-metal interface ϕf,s liquid-metal/gas solid (mold box) interface. immersed boundary method enable us to handle any internal two-phase in grid. Numerical results are presented four different tanks/molds, demonstrating the...

10.1080/10407790.2019.1591857 article EN Numerical Heat Transfer Part B Fundamentals 2018-12-02

Though state-of-the-art (SOTA) NLP systems have achieved remarkable performance on a variety of language understanding tasks, they primarily focus questions that correct and definitive answer. However, in real-world applications, users often ask don't Incorrectly answering such certainly hampers system's reliability trustworthiness. Can SOTA models accurately identify provide reasonable response? To investigate the above question, we introduce QnotA, dataset consisting five different...

10.48550/arxiv.2309.04635 preprint EN cc-by-nc-nd arXiv (Cornell University) 2023-01-01

The COVID-19 pandemic is imposing enormous global challenges in managing the spread of virus. A key pillar to mitigation contact tracing, which complements testing and isolation. Digital apps for tracing using Bluetooth technology available smartphones have gained prevalence globally. In this article, we discuss various capabilities such digital its implication on community safety individual privacy, among others. We further describe GoCoronaGo institutional app that developed, conscious...

10.48550/arxiv.2009.04916 preprint EN other-oa arXiv (Cornell University) 2020-01-01
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