AI Medical Compendium Topic:
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Prediction of dissolved oxygen concentration in aquaculture based on attention mechanism and combined neural network.

Mathematical biosciences and engineering : MBE
As an essential water quality parameter in aquaculture ponds, dissolved oxygen (DO) affects the growth and development of aquatic animals and their feeding and absorption. However, DO is easily influenced by external factors. It is not easy to make s...

Sentiment Classification of Chinese Tourism Reviews Based on ERNIE-Gram+GCN.

International journal of environmental research and public health
Nowadays, tourists increasingly prefer to check the reviews of attractions before traveling to decide whether to visit them or not. To respond to the change in the way tourists choose attractions, it is important to classify the reviews of attraction...

A novel grey prediction model with a feedforward neural network based on a carbon emission dynamic evolution system and its application.

Environmental science and pollution research international
The objective and accurate prediction of carbon dioxide emissions holds great significance for improving governmental energy policies and plans. Therefore, starting from an evolutionary system of carbon emissions, this paper studies the evolution of ...

Scientometric Analysis of Artificial Intelligence (AI) for Geohazard Research.

Sensors (Basel, Switzerland)
Geohazard prevention and mitigation are highly complex and remain challenges for researchers and practitioners. Artificial intelligence (AI) has become an effective tool for addressing these challenges. Therefore, for decades, an increasing number of...

Collaborative Damage Detection Framework for Rail Structures Based on a Multi-Agent System Embedded with Soft Multi-Functional Sensors.

Sensors (Basel, Switzerland)
With the rapid growth of railways in China, the focus has changed to the maintenance of large-scale rail structures. Multi-agent systems (MASs) based on wireless sensor network (WSNs) with soft multi-functional sensors (SMFS) are adopted cooperativel...

Sustainable Trend of Big Data in Enterprise Supply Chain Under the Artificial Intelligence Green Financial System.

Journal of environmental and public health
Today, with the rapid development of the Internet, society has entered the era of "information explosion." Financial data are a particularly important part of network information, and it has also reached a new level of public demand. The frequent app...

Emergency Information Communication Structure by Using Multimodel Fusion and Artificial Intelligence Algorithm.

Computational intelligence and neuroscience
With the development of The Times, social events are increasing, and emergency management has gradually become the main helper to solve the crisis in the public domain. By observing the current situation of many countries and regions, we can find tha...

On the Visual Construction of Environmental Factors in Modern Art Works from the Perspective of Painting Art.

Journal of environmental and public health
Since the twenty-first century, with the continuous improvement of economic life, people have higher and higher requirements for life at present. Therefore, exploring better environmental art design has become a key concern of many people. This kind ...

Estimation of surface ozone concentration over Jiangsu province using a high-performance deep learning model.

Journal of environmental sciences (China)
Recently, the global background concentration of ozone (O) has demonstrated a rising trend. Among various methods, groun-based monitoring of O concentrations is highly reliable for research analysis. To obtain information on the spatial characteristi...

Evaluating the risk of hypertension in residents in primary care in Shanghai, China with machine learning algorithms.

Frontiers in public health
OBJECTIVE: The prevention of hypertension in primary care requires an effective and suitable hypertension risk assessment model. The aim of this study was to develop and compare the performances of three machine learning algorithms in predicting the ...