This paper studied the correlative fluctuation between two different futures markets, and developed an analysis system on .net platform to realize the prediction of price fluctuation. In this system, we explored the computing technology with mathematical programming language R, and integrated it with .net platform, thereof making the calculation precise and convenient. Test by this system has s...

As Bangladesh is an agricultural country, cows have a great influence on our economy. However, there no cow-related work or dataset accessible online in the fields of machine learning and artificial intelligence. This study aims to predict cow price ranges using any picture. Cow images were collected from different e-commerce sites which are selling mainly attempted range based cows. Cows divid...

Metal binding proteins or metallo-proteins are important for the stability of the protein and also serve as co-factors in various functions like controlling metabolism, regulating signal transport, and metal homeostasis. In structural genomics, prediction of metal binding proteins help in the selection of suitable growth medium for overexpression's studies and also help in obtaining the functio...

This paper discusses, trying to accurately assess the price of Bitcoin by looking at different parameters affects value Bitcoin. In our work, we focus on understanding and seeing evolution daily market, a1 gaining intuition in most relevant aspects surrounding price. meantime, market capitalization publicly traded cryptocurrencies exceeds $ 230 billion. The important cryptocurrency, Bitcoin, is...