The fault identification or prediction of faulty program’s essential but expensive process to maintain the quality and reliability of the software. Deep learning based fault prediction has been intensively studied recently ...

The success of mobile game is measured based on the experiences of its players. Usability of mobile games is of great importance because their success depends on the principles of usability. The criteria for judging the ...

Artificial intelligence (AI) solutions are used to help make choices that include a high precision of choices they recommend and a deep understanding of choices so that the chiefs can trust them. Verifiable, non-emblematic ...

Seismic reflection that is an indirect geophysical technique. It is widely used for hydrocarbon prospecting and to characterize physical reservoir parameter. Three dimensional (3D) reservoir modelling, is one of the major ...

This research addresses the drawbacks of conventional technological arrangements of solar parks and the major causes of failure that occur due to lesser advancements in the arrangements of PV Panels in Solar Plants. The ...

Cement manufacturing is one of the most energy-intensive industries in the world. Most of the cost of producing cement is accounted by fuel consumption and power expenditures. Thermal power plants are the major source ...

The microgrid is a new genre of integrating the distributed energy resources (DER) within the grid. However, literature studies with the consideration of RERs uncertainty and DRPs of grid-connected EVs integrated residential ...

Wind energy is one of the green and environment-friendly resources. However, harvesting a sufficient amount of energy from a wind energy plant depends on different components. While having variable wind speed, the maximum ...

This research work emphasizes on self-isolated 4-Element, dual-band (3.5 GHz and 5.5 GHz) Multiple Input, Multiple Output (MIMO) antenna design with an explanation of the basic features, factors, simulation, and also the ...

In this paper, the Algorithm of Model Predictive Control for controlling bi-directional AC to DC converters and their optimization in Energy Systems is proposed to enhance the efficiency and transfer of power in Energy ...