Environmental Health

A Deep Spiking Neural Network Anomaly Detection Method.

Cyber-attacks on specialized industrial control systems are increasing in frequency and sophistication, which means stronger countermeasures need to be implemented, requiring the designers of the equipment in question to re-evaluate and redefine their methods for actively protecting against advanced mass cyber-attacks. The attacks in question have huge motivations, ranging from corporate espionage...

Algorithms and the future of work.

An algorithm refers to a series of stepwise instructions used by a machine to perform a mathematical operation. In 1955, the term artificial intelligence (AI) was coined to indicate that a machine could be programmed to duplicate human intelligence. Even though that goal has not yet been reached, the use of sophisticated machine learning algorithms has moved us closer to that goal. While algorithm...

Characterizing Subjects Exposed to Humidifier Disinfectants Using Computed-Tomography-Based Latent Traits: A Deep Learning Approach.

Around nine million people have been exposed to toxic humidifier disinfectants (HDs) in Korea. HD exposure may lead to HD-associated lung injuries (HD...

A Machine Learning-Based Water Potability Prediction Model by Using Synthetic Minority Oversampling Technique and Explainable AI.

During the last few decades, the quality of water has deteriorated significantly due to pollution and many other issues. As a consequence of this, the...

Poisoning Attack Against Estimating From Pairwise Comparisons.

As pairwise ranking becomes broadly employed for elections, sports competitions, recommendation, information retrieval and so on, attackers have stron...

Enhanced artificial intelligence for electrochemical sensors in monitoring and removing of azo dyes and food colorant substances.

It is necessary to determine whether synthetic dyes are present in food since their excessive use has detrimental effects on human health. For the sim...

Arrhythmia classification of 12-lead and reduced-lead electrocardiograms via recurrent networks, scattering, and phase harmonic correlation.

We describe an automatic classifier of arrhythmias based on 12-lead and reduced-lead electrocardiograms. Our classifier comprises four modules: scatte...

Three-Dimensional Reconstruction of National Traditional Sports Cultural Heritage Based on Feature Clustering and Artificial Intelligence.

The development of three-dimensional reconstruction technology with cultural heritage in traditional sports allows an accurate portrayal of this aspec...

A multi-scale evolutionary deep learning model based on CEEMDAN, improved whale optimization algorithm, regularized extreme learning machine and LSTM for AQI prediction.

With the rapid development of economy, air pollution occurs frequently, which has a huge negative impact on human health and urban ecosystem. Air qual...

Machine learning and deep learning modeling and simulation for predicting PM2.5 concentrations.

Particulate matter (PM) pollution greatly endanger human physical and mental health, and it is of great practical significance to predict PM concentra...

Application Model of Public Health Visual Art Creation Concept Based on Artificial Intelligence Technology in Venice Biennale.

There are some problems in the creation process of public health visual art works, such as low accuracy and poor content quality. In order to further ...

Extraction of multi-scale features enhances the deep learning-based daily PM forecasting in cities.

Characterising the daily PM2.5 concentration is crucial for air quality control. To govern the status of the atmospheric environment, a novel hybrid m...

Efficient enumeration-selection computational strategy for adaptive chemistry.

Design problems of finding efficient patterns, adaptation of complex molecules to external environments, affinity of molecules to specific targets, dy...

Machine Learning and Lexicon Approach to Texts Processing in the Detection of Degrees of Toxicity in Online Discussions.

This article focuses on the problem of detecting toxicity in online discussions. Toxicity is currently a serious problem when people are largely influ...

Occupational health and safety risk assessment using a fuzzy multi-criteria approach in a hospital in Chennai, India.

Hospitals provide direct and indirect employment benefits to medical professionals. Accidents in hospitals often lead to disastrous consequences such...

Exposure to nitrate induces alterations in blood parameter responses, liver immunity, and lipid metabolism in juvenile turbot (Scophthalmus maximus).

Nitrate (NO) pollution of waterbodies has attracted significant global attention as it poses a serious threat to aquatic organisms and human beings. T...

Detection of Corporate Environmental Information Disclosure Falsification Based on Support Vector Machine.

Environmental information disclosure (EID) is an important embodiment of corporate social responsibility. With the awakening of public awareness of en...

A Power System Harmonic Problem Based on the BP Neural Network Learning Algorithm.

At present, due to the large-scale use of different kinds of power electronic devices in the power system, the problem of harmonic pollution in the po...

Integrated biomarker approach strongly explaining in vivo sub-lethal acute toxicity of butachlor on Labeo rohita.

Butachlor herbicide belongs to the family of chloroacetanilide group, widely used for control of grass and broadleaf weeds in paddy fields however, it...

Water Quality Prediction Based on Multi-Task Learning.

Water pollution seriously endangers people's lives and restricts the sustainable development of the economy. Water quality prediction is essential for...