Mary Ann Keogh archery Hoss1, Paula Bobrowski2, Kathryn J McDonagh3, Nancy M Paris41Health Services Administration, Eastern Washington University, College of Business and Public Administration, Spokane, WA, USA; 2College of Liberal Arts, Auburn University, Auburn, AL, USA; 3Executive Relations, Hospira Inc, Lake Forest, IL, USA; 4Georgia Center for
Deep Learning Proactive Approach to Blackout Prevention in Smart Grids: An Early Warning System
Blackout events in smart grids can have significant impacts on individuals, communities and businesses, as they can disrupt the power supply and SUPER GOO cause damage to the grid.In this paper, a new proactive approach to an early warning system for predicting blackout events in smart grids is presented.The system is based on deep learning models:
Vermicast of Earthworm as Ecosystem Engineers within Different Vermireactor Shape
Earthworms as ecosystem engineers can modify the quality of vermibed assembled from mixed soil with organic material in a vermireactor.Various in shapes of the vermireactor are used to produce a vermicast for biofertilizer in agriculture.The objective of this research was to study the vermicast production and its quality produced from a variety of
Privacy-Preserving Compressed Reference-Oriented Alignment Map Using Decentralized Storage
In bioinformatics, researchers have endeavored to resolve the following two issues: 1) how to increase the efficiency of storage through compression and Adjustable Electric Beds 2) how to provide confidentiality for the genome sequence data.To resolve two issues, the sequence alignment map, the binary alignment map, the compressed reference-oriente