Predicting stock prices can be a challenging task as it often does not follow any specific pattern. However, deep neural learning can be used to identify patterns through machine learning. One of the ...

India’s stock market may have entered a new bullish phase led by improving earnings visibility, consumption revival, and easing FII selling, according to VK Vijayakumar, Chief Investment Strategist at ...

The webserver of ULDNA is freely available at https://csbioinformatics.njust.edu.cn/uldna/. Note: (1) The web server only accepts proteins with a length less than 1000. If the length of the query ...

1 School of Computer Science, Sichuan University Jinjiang College, Meishan, China. 2 School of Computer Science and Engineering, Sichuan University of Light Chemical Industry, Zigong, China.

Artificial intelligence was struggling to forecast the outcome of the notoriously secretive and unpredictable process by which Catholic cardinals elect a new pope. The April 21 death of Pope Francis ...

Stocks in the Chinese stock market can be divided into ST stocks and normal stocks, so to prevent investors from buying potential ST stocks, this paper first performs SMOTEENN oversampling data ...

Center for Life Nano & Neuro Science, Istituto Italiano di Tecnologia, Rome 00161, Italy Department of Neuroscience and Brain Technologies, Istituto Italiano di Tecnologia, Genoa 16163, Italy ...

The aims of this study are to predict the stock price trend in the stock market in an emerging economy. Using the Long Short Term Memory (LSTM) algorithm, and the corresponding technical analysis ...

Centralized heating is an energy-saving and environmentally friendly way that is strongly promoted by the state. It can improve energy utilization and reduce carbon emissions. However, Centralized ...