Ozak AI, a decentralized artificial intelligence platform, has attracted attention for its ability to deliver predictive ...

Bankruptcy prediction has traditionally relied on statistical approaches such as Altman’s Z-score, which use financial ratios ...

Abstract: The increasing depletion of non-renewable energy resources due to population growth, urbanization, and technological progress has heightened the need for accurate energy consumption ...

Abstract: In modern era, time series forecasting plays a crucial role in Solar Power Generation (SPG), by allowing the prediction of future energy output using past power and weather data for grid ...

By 2050, the world's population will exceed 9.7 billion, and thus food security and sustainable agriculture will be the hour ...

Are the stars truly concealing the secrets of your future and personality? A team of scientists asked themselves, and how they set about discovering this was as rigorous as it was insightful.

The Phoenix area saw scattered storms, bringing with them rain, strong wind gusts, and blowing dust. The weather system will continue to move north through the high country tonight and tomorrow, with ...

I have successfully run the deep learning models. However, when I run the Gradient Boosting Regression model, the predictions collapse into a straight flat line. I would like to understand why this ...

This project explores two different investigation using methods of machine learning and hybrid approach to predict the peak energy consumption in Ireland and energy production in Portugal based on ...