Invezz

Ether holds $2,800 support as market volatility persists; Check forecast

ETH is down 2% in the last 24 hours and is currently trading at $3k. The bearish performance comes as whales reduce their exposure to the cryptocurrency. ETH could retest the $2,800 support level if ...
Frontiers

“Smart agriculture: a climate-driven approach to modelling and forecasting fall armyworm populations in maize using machine learning algorithms”

The fall armyworm (Spodoptera frugiperda) poses a significant threat to global maize production owing to its rapid life cycle, extensive host range, and strong dispersal capabilities. We developed a ...
Scientific Research Publishing

Illa, P.K., Parvathala, B. and Sharma, A.K. (2022) Stock Price Prediction Methodology Using Random Forest Algorithm and Support Vector Machine. Materials Today: Proceedings, 56 ...

ABSTRACT: The Efficient Market Hypothesis postulates that stock prices are unpredictable and complex, so they are challenging to forecast. However, this study demonstrates that it is possible to ...
Scientific Research Publishing

Hybrid Software Model for Defect Detection and Cost Evaluation Using Support Vector Machine Algorithm ()

Software defect prediction and cost estimation are critical challenges in software engineering, directly influencing software quality and project management efficiency. This study presents a ...
Frontiers

Electricity Demand Forecasting With a Modified Extreme-Learning Machine Algorithm

To operate the power grid safely and reduce the cost of power production, power-load forecasting has become an urgent issue to be addressed. Although many power load forecasting models have been ...
IEEE

Application of Improved Support Vector Machine Based on Shuffled Frog Leaping Algorithm in Wind-Photovoltaic-Battery Power Forecasting

Abstract: Formulating reasonable and accurate wind-photovoltaic-battery generation system power forecasting strategy can improve the security and stability of new energy access to the grid. An ...
IEEE

Support vector machine with chaotic genetic algorithms for annual runoff forecasting

Abstract: Annual runoff forecasting plays an ever-increasing role in water resources management as engineers are required to make competent forecasts of natural runoff to meet the increasing needs for ...