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Researchers across various fields seek to understand causal relationships but often find controlled experiments impractical. To address this, statistical tools for causal discovery from naturally observed data have become crucial. Non-linear regression ...

In order to improve the accuracy of landslide prediction, this paper proposes a landslide displacement prediction model based on the random forests and optimized support vector regression. Firstly, Random Forests (RF) is used for preliminary prediction ...

This paper proposes a method for predicting college students' performance based on learning behaviour data mining. The method addresses the issue of limited sample size affecting prediction accuracy. It utilises the K-means clustering algorithm to mine ...

Steel demand forecasting is crucial for steel industries, enabling effective production planning, inventory management, resource optimization, and strategic decision-making. This also holds true for steel plant manufacturers, who require insights ...

While academic metrics such as transcripts and GPA are commonly used to evaluate students’ knowledge acquisition, there are limited comprehensive metrics to measure their preparedness for the challenges of post-graduation life. This research paper ...

A thorough exploration of the effects of a given minute’s currency exchange rates on subsequent 1, 5, 10, 15, 30, 45, and 60 minutes’ currency exchange rates is presented in this article, with machine learning and ensemble methods being applied. The ...

High-performance concrete (HPC) is a specialized type of concrete designed to meet stringent performance and uniformity standards that are difficult to achieve with conventional materials and standard mixing, placing, and curing methods. The testing ...

Accurately estimating concrete mechanical parameters using artificial intelligence-based methods can save time and energy. Existing nonlinear relationships between concrete components have entered uncertainty in the estimation of hardness properties of ...

In recent years, medical video compression has been developing rapidly in medical video communication applications for remote diagnosis and emergency medical incidents. How to improve the diagnostically perceptual quality with limited bandwidth in low-...

The demand for energy storage is increasing massively due to the electrification of transport and the expansion of renewable energies. Current battery technologies cannot satisfy this growing demand because they are difficult to recycle, because ...

Model transformation languages are special-purpose languages, which are designed to define transformations as comfortably as possible, i.e., often in a declarative way. Typically, developers create their transformations based on small input models which ...

The In this Internet Era, most of the people are using world-wide-web (www) based websites extensively for accomplishing their daily activities including E-commerce. As per latest report, total of 1.5 billion URLs are accessed every day and it is ...

Fatty liver disease is a common condition caused by excess fat in the liver. It consists of two types: Alcoholic Fatty Liver Disease, also called alcoholic steatohepatitis, and Non-Alcoholic Fatty Liver Disease (...

Carbon dioxide is produced during the manufacture of normal Portland cement; however, this gas may be minimized by utilizing ground granulated blast furnace slag (GGBFS). When planning and constructing concrete buildings, compressive strength (f_c), a ...

Accurate and reliable prediction of PM_2.5 concentrations is the basis for appropriate warning measures, and a single prediction model is often ineffective. In this paper, we propose a novel decomposition-and-ensemble model to predict the concentration of ...

Concrete is known as one of the most important materials in the world. Concrete composites consisting of cement, water, aggregates, and some additives are used to improve the properties of concrete. These concrete have a certain compressive strength that ...

The automobile shows try to convey a clear product or service message to the audience in a short period of time. Therefore, the steps of materials, shape, display and other aspects need to be carefully designed to provide an important display platform for ...

When using the support vector regression method to predict grain storage temperature, it is challenging to choose the appropriate model parameters. Generally, it is effective to examine the trend of grain storage temperature in different layers ...

The increase in positive cases of COVID-19 not only affects the health and lifestyle, but also the economy and the stock market. Tech and digital sector stocks can be predicted to be one of the most profitable. Therefore, the prediction of the stock price ...

Sulfur content in Electric Furnace Matte is one of the key parameters in nickel matte process control at PT Vale Indonesia Tbk. (PTVI), a nickel matte smelter in Indonesia. Currently the compliance to standard specification is relatively low due to ...