Stock Exchange Share Price is very hard to predict since there are no significant rules to estimate or predict that. Stock price prediction is one of the emerging field of research and many methods like technical analysis, statistical analysis, time series analysis etc are used for this purpose. Artificial Neural Network is a popular technique for the stock price prediction. Here we use Multila...

Cryptocurrencies are a digital way of money in which all transactions held electronically. It is soft currency doesn’t exist the form hard notes physically. Here, we emphasizing difference fiat decentralized that without any third-party intervention virtual users can get services. However, getting services these cryptocurrencies impacts on international relations and trade, due to its high pric...

Bidding in simultaneous auctions is challenging because an agent’s value for a good in one auction may depend on the outcome of other auctions; that is, bidders face an exposure problem. Given the gap in our understanding (e.g., lack of game-theoretic solutions) of general simultaneous auction games, previous works have tackled the problem of how to bid in these games with heuristic strategies ...

There is no such thing as a safe path of investment in the stock market because it highly unpredictable, which has been major concern investors globally. As result, or price prediction hot topic for scholars and researchers popular worldwide.

Metal ions play a critical role in living systems. About one third of proteins need to bind metal for their stability and/or function. In this review, current sequence based and structure based methods for metal binding site prediction will be presented, with emphasis on the CHED and SeqCHED methods of prediction from apo-protein structures and protein sequences having homologs (even remote) in...

Recently, numerous investigations for stock price prediction and portfolio management using machine learning have been trying to develop efficient mechanical trading systems. But these systems have a limitation in that they are mainly based on the supervised leaming which is not so adequate for leaming problems with long-term goals and delayed rewards. This paper proposes a method of applying r...

Stock price prediction has attracted much attention from both practitioners and researchers. However, most studies in this area ignored the non-stationary nature of stock price series. That is, stock price series do not exhibit identical statistical properties at each point of time. As a result, the relationships between stock price series and their predictors are quite dynamic. It is challengi...