IEEE

Multimodel Forecasting of Technology-Focused ETFs Using ARIMA and LSTM

Abstract: This study presents a comparative approach to short-term forecasting of five technology-focused exchange-traded funds (ETFs)—AIQ, BOTZ, QQQ, VGT, and XLK—using two modelling techniques: the ...
Scientific Research Publishing

Chen, L. and Zhang, D. (2022) Forecasting High-Speed Rail Passenger Demand with Hybrid ARIMA and Machine Learning Models. Transportation Research Part A: Policy and Practice ...

ABSTRACT: Flow in high-speed rail (HSR) hubs serves as a “barometer” for factor mobility within urban agglomerations, and its accurate forecasting is crucial for capacity allocation and emergency ...
The New York Times

How We’ll Eat in 2026: More Caution, More Crunch

Food forecasters see a year of quieter tastes: little bursts of pleasure, less-jangling restaurants and healthy foods worthy of the ideal Grandma. Credit...Davide Bonazzi Supported by By Kim Severson ...
IEEE

Enhancing GDP Forecasting in India Through a Hybrid ARIMA-LSTM Model

Abstract: In the last few years, accurate GDP forecasting has been growing crucial for financial forecasting and governance in recent years. While traditional techniques, like as ARIMA, have proven ...
Futurism

AI Code Is a Bug-Filled Mess

The adoption rate of AI tools has skyrocketed in the programming world, enabling coders to generate vast amounts of code with simple text prompts. Earlier this year, Google found that 90 percent of ...