A5030290665- Digital Marketing and Social Media
- Sentiment Analysis and Opinion Mining
- Combustion and Detonation Processes
- Big Data and Business Intelligence
- Opinion Dynamics and Social Influence
- Energetic Materials and Combustion
- Topic Modeling
- Misinformation and Its Impacts
- Technology Adoption and User Behaviour
- Complex Network Analysis Techniques
- AI in Service Interactions
- Advanced Text Analysis Techniques
- Fluid Dynamics and Turbulent Flows
- Aerodynamics and Fluid Dynamics Research
- Social Media and Politics
- Impact of AI and Big Data on Business and Society
- Forest ecology and management
- Ethics and Social Impacts of AI
- Rocket and propulsion systems research
- Blockchain Technology Applications and Security
- Seismic Imaging and Inversion Techniques
- Face recognition and analysis
- Image and Signal Denoising Methods
- Millimeter-Wave Propagation and Modeling
- Organizational and Employee Performance
Amity University
2024
Indian Institute of Technology Delhi
2020-2023
Dish Network (United States)
2021
Delhi Technological University
2021
ExxonMobil (Germany)
2017
The proliferation of fake news across the internet has become a significant area concern globally. COVID-19 pandemic highlights that propagation can jeopardize public health and heighten irrational behavior amongst consumers, like panic buying. However, existing literature not explored its impact on supply chain. This study uses reactance cognitive load theories to examine model for causing chain disruption. Our research employed computationally intensive big data-driven method three studies...
Despite advancements in electrification and the transition to solar-based electricity production, India will continue depend on land-based carbon offsets achieve its net-zero target. Land-based climate mitigation strategies can be implemented by utilizing underutilized marginal lands or increasing land availability through technological interventions close agricultural yield gaps. Both below-ground (e.g., soil carbon) above-ground standing tree biomass) options offer viable pathways for such...
Accurate and realistic geological modelling is the core of oil gas development production. In recent years, process-based methods are developed to produce highly models by simulating physical processes that reproduce sedimentary events develop geometry. However, complex dynamic extremely expensive simulate, making difficult be conditioned field data. this work, we propose a comprehensive generative adversarial network framework as machine-learning-assisted approach for mimicking outputs with...
Monitoring buyer experience provides competitive advantages for suppliers as buyers explore the market before reaching a salesperson. Still, not many B2B monitor their buyers' expectations throughout procurement journey, especially in MSMEs and SMEs. In addition, inductive research on evaluating buyer-supplier relationships is minimal, leaving an unexplored area. This study explores antecedents of during relationship Further, we investigate nature influence extracted precursors experience....
The decisive demonstration of the roots and aftermaths boundary layer persuaded flow choking (Sanal choking) and/or streamtube in non-reacting flows (V.R.S.Kumar et al., Physics Fluids, 34(4), 2022, https://aip.scitation.org/doi/10.1063/5.0086638) humans circulatory system 34(10), https://aip.scitation.org/doi/10.1063/5.0105407) sheds lights on diagnostic investigation deflagration-to-detonation-transition (DDT) asymptomatic explosions internal free external flows. An exact mathematical...
View Video Presentation: https://doi.org/10.2514/6.2023-3754.vid Explanations of aerodynamic lift based on Bernoulli's theorem and Newton's third law motion are correct but not conclusive. Aerodynamic is a force generated by solid object creating flow-turning situation. Theories the generation prediction drag divergence Mach number have become source great controversy topic for heated arguments over decades. Herein, after invoking concept Streamtube compression Sanal flow choking [Global...
This paper proposes a methodology to extract key insights from user generated reviews. work is based on Aspect Based Sentiment Analysis (ABSA) which predicts the sentiment of aspects mentioned in text documents. The extracted are fine-grained for presentation form known as Review Highlights.
View Video Presentation: https://doi.org/10.2514/6.2023-4416.vid The fundamental understanding of the causes and consequences phenomenon Sanal flow choking and/or Streamtube-flow-choking in non-reacting flows cardiovascular system (Physics Fluids 2022) sheds sparks on analytical predictions Chapman–Jouguet conditions detonation propagation ceases. Closed-form models correlating with multitude parameters are presented herein to assert threshold condition deflagration-to-detonation-transition...
Rainfall prediction is a routine part of meteorological observations. An essential work this department includes keeping daily record rainfall characteristics, variations, intensity, etc. for particular region. Although, in our general life, we may not pay much attention to day-to-day weather conditions, instance, sunrise, humidity, rainfall, air pressure and others, but terms climatology, such events or their fluctuation can leave great impact on the habitat, if they remain consistent long...
We present a regularization method, Regularization by Unaliased Slowness Estimation (RUSE), that regularizes non-uniformly sampled, spatially aliased data. This method assumes the data are locally combination of planar events. test this algorithm on both synthetic plane-wave model and modeled wide-azimuth super shot, where it shows clear improvement over methods without anti-aliasing. Presentation Date: Wednesday, September 27, 2017 Start Time: 2:40 PM Location: 360A Type: ORAL