In this paper, we present Taguchi’s and rolling modeling methods of artificial neural network (ANN) for very-short-term electric demand forecasting (VSTEDF) from the consumers’ viewpoint. The rolling model is a metabolism technique that guarantees input data are always the most recent values. In ANN prediction, several factors that may influence the model should be well examined. Taguchi’s meth...

The article proposes an approach based on the concept of Artificial Intelligence for categorization urban areas Internet content by corporate customers. applicability different neural apparatus was analyzed as well three-layer Backpropagation Neural Networks (BPN) and four-layer Probabilistic (PNN) most suitable purpose study were selected. synthesis BPN architectures traffic identification car...

This letter explores a deep reinforcement learning (DRL) approach for designing image-based control edge robots to be implemented on Field Programmable Gate Arrays (FPGAs). Although FPGAs are more power-efficient than CPUs and GPUs, typical DRL method cannot applied since they composed of many Logic Blocks (LBs) high-speed logical operations but low-speed real-number operations. To cope with th...

Subtilisin E (SbtE) is a member of the ubiquitous superfamily of serine proteases called subtilases and serves as a model for understanding propeptide-mediated protein folding mechanisms. Unlike most proteins that adopt thermodynamically stable conformations, the native state of SbtE is trapped into a kinetically stable conformation. While kinetic stability offers distinct functional advantages...

Hemodynamic and mitochondrial function recover following 60 minutes of ischemic arrest and reperfusion in hearts pretreated with verapamil. The present study was carried out to determine whether verapamil prevents the onset of mitochondrial oxidative impairment after 60 minutes of ischemic arrest without reperfusion. Two preparations of mitochondria isolated following Polytron homogenization an...

To recognize application of Artificial Neural Networks (ANNs) in weather forecasting, especially in rainfall forecasting a comprehensive literature review from 1923 to 2012 is done and presented in this paper. And it is found that architectures of ANN such as BPN, RBFN is best established to be forecast chaotic behavior and have efficient enough to forecast monsoon rainfall as well as other wea...

Streptomyces subtilisin inhibitor-like proteins were found to be distributed widely in streptomycetes by using the combination of the convenient, newly developed plate assay system and an established liquid culture assay. Almost all the strains formerly categorized as Streptoverticillium species produced proteins that exhibited inhibitory activity against both subtilisin BPN' and trypsin. N-ter...

Data mining and ML approaches are used for analyzing the raw data. The analysis consequences has depends on applications requirements. use of also been become popular in social media data based NLP uncovering sentiments text post. Social two sides brighten dark. There a number creative ways to media, but there some users that accomplishing their toxic intensions using media. machine learning al...

A dual expression system for overexpressing two proteins by a single cell strain has been developed in Bacillus subtilis. This dual expression system combines the phi105MU331 prophage system and a plasmid system within a single cell. Protein expression by the prophage system is heat inducible, while that of the plasmid system is constitutive. Three candidate genes, BPN, BT, and amyE, all of Bac...