Abstract: Multivariate time series forecasting plays a critical role in fields such as finance, health, weather, and energy. However, multivariate time series data encountered in real-world settings ...
Abstract: Long-term forecasting of multivariate time series has been an important research issue in the field of data mining and knowledge discovery. Fuzzy information granularity is used as an ...
Model making is a great hobby, but knowing how and where to start is another story. It can be overwhelming for novices: Injection-molded plastic models have been on the market for close to a century, ...
HIV and tuberculosis (TB) remain closely linked public health threats in sub-Saharan Africa, with South Africa bearing the highest burden of both diseases. In KwaZulu-Natal, where HIV prevalence peaks ...
Check the paper on ArXiv: FastBDT: A speed-optimized and cache-friendly implementation of stochastic gradient-boosted decision trees for multivariate classification Stochastic gradient-boosted ...
Python has been the language of data science since before machine learning was trendy, and now you can use it for building AI agents, too. Get the scoop on the new Google Agent Development Kit and ...
ABSTRACT: This paper investigates the influence of environmental regulations on the adoption of Corporate Social Responsibility practices among Small and Medium-sized Enterprises in Cameroon. It ...
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