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ABSTRACT The objective of this study was to assess behavior patterns in Brazilian farm milk prices. We employed a structural time series techniques model, the Unobserved Component Model (UCM), which is part of the family...

When voyage report data is utilized as the main data source for ship fuel efficiency analysis, its information on weather and sea conditions is often regarded as unreliable. To solve this issue, this study approaches AIS...

Jaringan syaraf tiruan merupakan metode yang sangat sering digunakan untuk peramalan. Akurasi jaringan syaraf tiruan dipengaruhi oleh jumlah lapisan tersembunyi dan neuron didalamnya. Salah satu teori yang membahas tenta...

Abstract In response to the problems of large fluctuations in electricity prices and difficulty in long-term forecasting caused by the large-scale integration of new energy in the electricity market, this paper construct...

Ground aircraft icing has an adverse effect on the aerodynamic performance of aircrafts as well as the efficient operations of airlines and airports. The South African Weather Service (SAWS) Aviation Weather Centre (AWC)...

Abstract Grinding chatter is a self-induced vibration which is unfavorable to precision machining processes. This paper proposes a forecasting method for grinding state identification based on bivarition empirical mode d...

Accurate deformation forecasting is essential for concrete dam safety monitoring, yet real-world deformation series are often nonlinear, nonstationary, and contaminated by noise, missing values, and outliers, which limit...

Higher education becomes a level of further education after pursuing a secondary education program. Tidar University is one of the public higher education institutions located in Central Java Province. Since its inceptio...

Abstract This study examines the effect of financial literacy on the performance of small and medium-sized enterprises (SMEs) in Mogadishu, Somalia, a fragile and post-conflict economy. Grounded in Human Capital Theory, ...

Amid the convergence of technological, macroevolutionary, and demographic singularities, conventional approaches to analyzing and forecasting economic growth are increasingly losing relevance and predictive power. The su...

This study aims to systematically analyze the new characteristics, evolution trends, and causes of major extreme weather in China in the context of global climate change, and evaluate the current forecasting, early-warni...

Urban analytics has emerged as a transformative tool for addressing the challenges of urbanization and fostering sustainable smart cities. Despite its growing significance, a gap remains in the literature on integrating ...

The COVID-19 pandemic has placed enormous strain on providing health care services internationally while reinforcing the argument for the need to strengthen forecasting techniques. Existing forecasting methods have drawb...

Abstract This paper deals with the treatment of trend seasonality of time series by using the method of exponential smoothing, indeed the triple exponential method (Winter's Method) which includes two procedures of anal...

Abstract The increase in vehicle ownership and urban population puts a strain on roads and increases traffic congestion within developed and developing nations. Congestion affects an individual’s time and increases an ...

Abstract Proposed research presents a data-driven framework for forecasting municipal solid waste (MSW) generation and emission dynamics in Erode City, India, by employing supervised machine learning algorithms. Leveragi...

The article contains a feasibility analysis of using big data of payment systems for building forecasting models for the dynamics of consumer demand as a core factor of the retail turnover. The relevance of this research...

Radiative sky cooling reduces the temperature of a system by promoting heat exchange with the sky; its key advantage is that no input energy is required. We will review the origins of radiative sky cooling from ancient t...

Increasing and changing customer demand every day requires companies to be more detailed in planning strategies to increase sales every day, characterized by the need to produce relevant reports, every company must have ...

Thermal traits knowledge is elemental to forecasting the impacts of environmental change on lizard diversity. Daily and seasonal environmental temperature fluctuations are amplified in desert and semi-desert species. As ...

Abstract Accurate and reliable wind power forecasting models are essential for the optimal dispatch of power systems. However, existing methods still face several challenges, including ineffective signal decomposition, l...

Abstract The storage and retrieval of wave spectra for boundary conditions in nested wave modeling are computationally intensive due to the substantial storage requirements of each spectrum. A recently developed method (...

Abstract Interannual variability in the runoff ratio—how much annual precipitation becomes streamflow—underpins water management, flood forecasting, and biogeochemical fluxes. In most hydrologic frameworks, this vari...

Fil: Celis, Alejandra. Centro de Estudios Sociales y Ambientales; Argentina. Fil: Forni, Pablo. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones en Ciencias Sociales; Argentina. ...