Machine learning approach for detecting location spoofing in VANET
A Sharma, A Jaekel - 2021 International Conference on …, 2021 - ieeexplore.ieee.org
A vehicular ad-hoc network (VANET) consists of moving and stationary vehicles, along with
supporting infrastructure, which communicate with each other through a wireless medium. …
supporting infrastructure, which communicate with each other through a wireless medium. …
Machine learning based misbehaviour detection in VANET using consecutive BSM approach
A Sharma, A Jaekel - IEEE Open Journal of Vehicular …, 2021 - ieeexplore.ieee.org
Vehicular ad-hoc network (VANET) is an emerging technology for vehicle-to-vehicle
communication vital for reducing road accidents and traffic congestion in an Intelligent …
communication vital for reducing road accidents and traffic congestion in an Intelligent …
[HTML][HTML] Evolution in lithography techniques: microlithography to nanolithography
E Sharma, R Rathi, J Misharwal, B Sinhmar, S Kumari… - Nanomaterials, 2022 - mdpi.com
In this era, electronic devices such as mobile phones, computers, laptops, sensors, and many
more have become a necessity in healthcare, for a pleasant lifestyle, and for carrying out …
more have become a necessity in healthcare, for a pleasant lifestyle, and for carrying out …
[HTML][HTML] Deep learning CNN-LSTM-MLP hybrid fusion model for feature optimizations and daily solar radiation prediction
Global solar radiation (GSR) prediction plays an essential role in planning, controlling and
monitoring solar power systems. However, its stochastic behaviour is a significant challenge …
monitoring solar power systems. However, its stochastic behaviour is a significant challenge …
[HTML][HTML] Riverine plastic pollution from fisheries: Insights from the Ganges River system
…, A Dev, S Rawat, D Santillo, S Sarker, E Sharma… - Science of the Total …, 2021 - Elsevier
Abandoned, lost or otherwise discarded fishing gear represents a substantial proportion of
global marine plastic pollution and can cause significant environmental and socio-economic …
global marine plastic pollution and can cause significant environmental and socio-economic …
Air quality monitoring based on chemical and meteorological drivers: Application of a novel data filtering-based hybridized deep learning model
Particulate matter (PM) or particle pollution include the tiny particles of dust and fly ash particles
are expelled from coal-burning power plants. Coal combustion is an extremely prevalent …
are expelled from coal-burning power plants. Coal combustion is an extremely prevalent …
A hybrid air quality early-warning framework: An hourly forecasting model with online sequential extreme learning machines and empirical mode decomposition …
Modelling air quality with a practical tool that produces real-time forecasts to mitigate risk to
public health continues to face significant challenges considering the chaotic, non-linear and …
public health continues to face significant challenges considering the chaotic, non-linear and …
Novel hybrid deep learning model for satellite based PM10 forecasting in the most polluted Australian hotspots
More timely and accurate air quality forecasting could contribute to better public health
protection and air pollution prevention. Particulates are a significant indicator for measuring the …
protection and air pollution prevention. Particulates are a significant indicator for measuring the …
Structural and photoluminescence properties of Dy-doped nanocrystalline ZrO2 for optoelectronics application
Nanocrystalline Dy 3+ doped ZrO 2 sample has been synthesized using sol-gel wet chemical
method. The sample has been investigated for structural, thermal, and photoluminescence …
method. The sample has been investigated for structural, thermal, and photoluminescence …
Deep air quality forecasts: suspended particulate matter modeling with convolutional neural and long short-term memory networks
… The study was funded by Research Training Scheme from the Australian Government and
School of Sciences, University of Southern Queensland granted to first author Ekta Sharma. …
School of Sciences, University of Southern Queensland granted to first author Ekta Sharma. …