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Enhanced crop health monitoring: attention convolutional stacked recurrent networks and binary Kepler search for early detection of paddy crop issues
The diseases that affect the plants cannot be easily avoided due to rapid and substantial changes in the environment and climate. Generally, paddy...
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Convolutional neural network-based applied research on the enrichment of heavy metals in the soil–rice system in China
The enrichment of heavy metals in the soil–rice system is affected by various factors, which hampers the prediction of heavy metal concentrations. In...
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Development of a framework for dynamic risk assessment of environmental impacts in chemicals warehouse using CFD-BN
Chemical warehouses are one of the high-risk areas in the process industries due to the high diversity and quantity of stored chemicals. Risk...
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Multi-step short-term \(PM_{2.5}\) forecasting for enactment of proactive environmental regulation strategies
Particulate matter is one of the key contributors of air pollution and climate change. Long-term exposure to constituents of air pollutants has...
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Associations of ambient air pollutants with regional pulmonary tuberculosis incidence in the central Chinese province of Hubei: a Bayesian spatial-temporal analysis
BackgroundAir pollution and pulmonary tuberculosis (PTB) are still serious worldwide problems, especially in areas of develo** countries. Whether...
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Complex network analysis and robustness evaluation of spatial variation of monthly rainfall
Recently, complex network-based approaches are shown to be efficient for spatial analysis of rainfall variation. One of the most critical limitations...
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Early dementia detection with speech analysis and machine learning techniques
This in-depth study journey explores the context of natural language processing and text analysis in dementia detection, revealing their importance...
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Multistation collaborative prediction of air pollutants based on the CNN-BiLSTM model
The development of industry has led to serious air pollution problems. It is very important to establish high-precision and high-performance air...
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Sources and transformations of nitrate constrained by nitrate isotopes and Bayesian model in karst surface water, Guilin, Southwest China
Surface water suffering from nitrate (NO 3 − ) contamination in karst area is not only harmful to human health as drinking water but can also affect the...
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A new approach combining a simplified FLEXPART model and a Bayesian-RAT method for forecasting PM10 and PM2.5
In this study, we evaluated atmospheric particulate matter (PM) concentration predictions at a regional scale using a simplified Lagrangian particle...
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Ensemble machine learning models for prediction of flyrock due to quarry blasting
In the mining industry, the most common approach to rock fragmentation is blasting. Blasting operations generate flyrock, which is a critical and...
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Assessing Environmentally Effective Post-COVID Green Recovery Plans for Reducing Social and Economic Inequality
Given the current environmental crisis there have been multiple calls for a green recovery from COVID-19 which address environmental concerns and...
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A stochastic deep-learning-based approach for improved streamflow simulation
Post-processing using deep learning algorithms can be conducted to improve accuracy of hydrologic predictions and quantify their uncertainty. In this...
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Low-cost urban carbon monitoring network and implications for china: a comprehensive review
The development and renewal of gas sensor technology have enabled more and more low-cost gas sensors to form a carbon monitoring network to meet the...
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Online soft measurement for wastewater treatment system based on hybrid deep learning
The existing automated wastewater treatment control systems encounter challenges such as the utilization of specialized testing instruments,...
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Evaluating the downscaling uncertainty of hydrometeorological data in snowmelt runoff simulation
Snowmelt runoff is the main water source in cold and arid areas, and hydrological models provide a useful tool for water resource management in such...
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A Systematic Review of Methodological Tools for Evaluating the Water, Energy, Food, and One Health Nexus in Transboundary Water Basins
Water plays a vital role in human socioeconomic development and overall well-being, making its effective management essential in achieving the...
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Good ethics cannot stop me from exploiting: The good and bad of anthropocentric attitudes in a game environment
Video games have the potential to be a tool for communicating pro-environmental values. The present study examines the correlation between players’...
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Probabilistic risk analysis for coal mine gas overrun based on FAHP and BN: a case study
To analyze the risk of gas overrun in coal mines and improve the risk analysis, a novel risk analysis method was proposed based on FAHP and Bayesian...
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Of causes and symptoms: using monitoring data and expert knowledge to diagnose the causes of stream degradation
Ecological status assessment under the European Water Framework Directive (WFD) often integrates the impact of multiple stressors into a single index...
