A Vehicular Ad-hoc Network is an experimental approach for sending or receiving data or messages for secure driving. While sharing data, attacks can occur using malware. To avoid this there is a need for an algorithm ...
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Lung cancer is leading among nineteen different types of cancer deaths across the world. Later the lung cancer is detected, the lesser the chances of survival for an individual. The authors have proposed a model to pr...
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MRI is one of the major modality in assisting the medical experts to diagnose and treat different brain diseases such as cancer, epilepsy and stroke. Poor light illumination of MRI scanners, electronic interferences a...
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This paper presents a multi-objective optimal design method for gravity compensators. The proposed optimization aims to minimize the ratio of the compensated torque to the uncompensated torque and the joint reaction f...
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Modern society has made mobile devices a necessary component in the daily lives of humans, and malware is growing at the same time. Users often utilize Android programs to conduct a variety of tasks, and the security ...
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The technique of determining whether a user is legitimate or not is known as authentication. It needs a secret field (password) that only the actual user knows. Every security system is created in such a way that it m...
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LiDAR-based 3D object detection provides the necessary high-precision environmental sensing information for the safe navigation of smart ships. However, relying on viewpoint projections, voxelized point clouds, or usi...
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With the dynamic scalability and utilisation of virtualised resources, Cloud Computing (CC) offers a good impact on the educational environment. However, the energy and traffic handling are difficult in the convention...
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COVID-19 has affected the health condition of the people in India to a huge extent. The death rate seems to be high during the second wave of COVID-19 compared to the first wave. This is mainly due lethargic behaviour...
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Wind speed forecasting is important for wind energy *** the modern era,the increase in energy demand can be managed effectively by fore-casting the wind speed *** main objective of this research is to improve the perf...
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Wind speed forecasting is important for wind energy *** the modern era,the increase in energy demand can be managed effectively by fore-casting the wind speed *** main objective of this research is to improve the performance of wind speed forecasting by handling uncertainty,the curse of dimensionality,overfitting and non-linearity *** curse of dimensionality and overfitting issues are handled by using Boruta feature *** uncertainty and the non-linearity issues are addressed by using the deep learning based Bi-directional Long Short Term Memory(Bi-LSTM).In this paper,Bi-LSTM with Boruta feature selection named BFS-Bi-LSTM is proposed to improve the performance of wind speed *** model identifies relevant features for wind speed forecasting from the meteorological features using Boruta wrapper feature selection(BFS).Followed by Bi-LSTM predicts the wind speed by considering the wind speed from the past and future time *** proposed BFS-Bi-LSTM model is compared against Multilayer perceptron(MLP),MLP with Boruta(BFS-MLP),Long Short Term Memory(LSTM),LSTM with Boruta(BFS-LSTM)and Bi-LSTM in terms of Root Mean Square Error(RMSE),Mean Absolute Error(MAE),Mean Square Error(MSE)and *** BFS-Bi-LSTM surpassed other models by producing RMSE of 0.784,MAE of 0.530,MSE of 0.615 and R2 of *** experimental result shows that the BFS-Bi-LSTM produced better forecasting results compared to others.
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