This study explores the transformative impact of digitalization on microfinance services in
Uzbekistan, a rapidly evolving sector in the context of technological advances. The …

Forecasting methods are important decision support tools in geo-distributed sensor
networks. However, challenges such as the multivariate nature of data, the existence of …

The rising industrial sector capacity increases carbon emissions, necessitating a low-carbon
transformation for global sustainability. Accurate multi-step forecasting of industrial carbon …

This study aims to guide policymakers in allocating resources and planning for the future by
consistently estimating energy data trends. Because of the complexity and uncertainty of …

In the United Kingdom, industry accounts for roughly a quarter of greenhouse gas
emissions. The UK Government has set ambitious net-zero targets committed to the …

This study on the Politics of Poverty and Economic Development in Nigeria examined the
intricate relationship between money politics and economic development in Nigeria. The …

In this paper is shown how to implement the GNU Octave Control toolbox for autoregressive
models for the identification of nonlinear dynamics system with the GNU Octave control …

本文介绍了一种自适应模糊半参数时间序列模型, 该模型将半参数技术与反向传播神经网络(
BPNN) 相结合, 形成具有LR-型模糊数据的自适应模糊时间序列模型. 首先 …

传统的模糊最小二乘时间序列模型在包含异常值的模糊数据集中表现出较差的性能.
通过引入异常值检测策略, 提出了一种降低异常值对未来预测影响的方法. 为此 …

Corporate governance is the system of rules, practices, and processes used to direct and
control a company. It is important to ensure that companies are managed fairly and …