This study has made significant findings in A-share market data processing and portfolio
management. Firstly, by adopting the Lasso method and CPCA framework, we effectively …

Urban traffic congestion poses significant challenges to city planners, commuters, and
emergency services. Traditional methods of traffic management often rely on historical data …

Crop diseases pose a significant threat to global food security, leading to substantial losses
in agricultural productivity. Traditional methods of disease detection often rely on manual …

The study and preservation of ancient architecture have been critical for maintaining cultural
heritage worldwide. With structures dating back thousands of years, these buildings hold …

Quantitative trading is inseparable from the collection and processing of big data. Machine
learning algorithms have a natural advantage in processing big data. Therefore, this paper …

Effective customer support is crucial for the success of e-commerce businesses, directly
impacting customer satisfaction and retention. Traditional customer support methods often …

Effective disaster response is crucial for minimizing the impact of natural calamities on
communities and infrastructure. Traditional damage assessment methods often rely on …

Goat milk, as a livestock product, is a strategic raw material for the production of a variety of
products, including baby food products. With the development of the dairy industry and the …

In the construction of reinforced concrete structures, rebar tying ensures the stability of
reinforcement bars (rebars) in place before concrete is poured. Correctly tied rebar nodes …

Based on big data and artificial intelligence technology, this paper studies the intelligent
portfolio optimization model. With the rapid development of big data and artificial intelligence …