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A deep neural multi-model ensemble (DNM2E) framework for modelling groundwater levels over Kerala using dynamic variables
Modelling, predicting, and forecasting hydrological phenomena like groundwater have been one of the prominent applications of artificial intelligence...
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From responses of macroinvertebrate metrics to the definition of reference metrics and stressor threshold values
The main obstacles to monitoring aquatic ecosystems have always been the lack of data, the complex socio-economic context and the lack of specialised...
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Collaborative-trust approach toward malicious node detection in vehicular ad hoc networks
Malicious node detection in vehicular ad hoc network (VANET) has always been a research hot spot. An efficient misbehavior detection scheme is needed...
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A Bayesian network approach for the identification of relationships between drivers of chlordecone bioaccumulation in plants
Plants were sampled from four different types of chlordecone-contaminated land in Guadeloupe (West Indies). The objective was to investigate the...
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Assessing Resilience of Transportation Networks Under Multi-hazards: A Review
Bridges are essential components in the transportation network system and are vulnerable to natural hazards like earthquake, tsunamis, flood,...
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Digital water: artificial intelligence and soft computing applications for drinking water quality assessment
Water quality deterioration in drinking water systems (i.e., system failure) causing serious outbreaks have frequently been happening around the...
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Green governance strategies for Belt and Road renewable energy projects: insights from risk analysis and ESG theory
The Belt and Road renewable energy initiative entails substantial risks, with the ultimate success or failure of the project contingent upon the...
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Estimation of COVID-19 patient numbers using artificial neural networks based on air pollutant concentration levels
The dilemma between health concerns and the economy is apparent in the context of strategic decision making during the pandemic. In particular,...
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Integration of Multivariate Adaptive Regression Splines and Weighted Arithmetic Water Quality Index Methods for Drinking Water Quality Analysis
The water quality index (WQI) is a widely used tool for assessing water quality of various water bodies, but it has drawn criticism for being...
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Probabilistic framework for the parametric modeling of leakages in water distribution networks: large scale application to the City of Patras in Western Greece
Although the quantification of lost water, due to leakages in pressure management areas (PMAs) is a crucial task for all water agencies’ financial...
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Evaluation of human error in oil spill risk in tanker cargo handling operations
Cargo handling operations on board tankers pose a significant threat to the cleanliness and health of the ocean ecosystem. Incidents originating from...
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Soil moisture simulation using individual versus ensemble soft computing models
Soil moisture plays an important role in water distribution among various components of hydrological cycle and energy exchanges between the...
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Bacterial prediction using internet of things (IoT) and machine learning
Water is a basic and primary resource which is required for sustenance of life on the Earth. The importance of water quality is increasing with the...
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Contamination source detection in water distribution networks using belief propagation
We present a Bayesian approach for the Contamination Source Detection problem in water distribution networks. Assuming that contamination is a rare...
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A Bayesian approach to ecosystem service trade-off analysis utilizing expert knowledge
The concept of ecosystem services is gaining attention in the context of sustainable resource management. However, it is inherently difficult to...
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Performance evaluation of artificial intelligence paradigms—artificial neural networks, fuzzy logic, and adaptive neuro-fuzzy inference system for flood prediction
Flood prediction has gained prominence world over due to the calamitous socio-economic impacts this hazard has and the anticipated increase of its...
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Screening of representative rainfall event series for long-term hydrological performance evaluation of grassed swales
Evaluation of the hydrological performance of grassed swales usually needs long-term monitoring data. At present, suitable techniques for simulating...
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Machine learning analysis and prediction of N2, N2O, and O2 adsorption on activated carbon and carbon molecular sieve
This research focuses on predicting the adsorbed amount of N 2 , O 2 , and N 2 O on carbon molecular sieve and activated carbon using the artificial neural...
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Predict Future Climate Change Using Artificial Neural Networks
In Artificial Neural Networks (ANN) with feedback, the output of at least one cell is given as input to itself or to other cells, and feedback is...
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Predicting the price of crude oil based on the stochastic dynamics learning from prior data
Energy is vital to international trade, social security, and financial markets. Crude oil, as a non-renewable resource, is affected by complex...
