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An ecotoxicological view on malaria vector control with ivermectin-treated cattle
Malaria remains an enduring challenge in sub-Saharan Africa, affecting public health and development. Control measures can include the use of...
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Non-parametric generation of multivariate cross-correlated random fields directly from sparse measurements using Bayesian compressive sensing and Markov chain Monte Carlo simulation
Simulation of multivariate cross-correlated random field samples (RFSs) is often required in reliability analysis of engineering structures....
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Vector indices and metrological factors associated with dengue fever outbreak in Punjab, Pakistan
Dengue fever (DF) is a major public health concern in the Pakistan, and has been a significant cause of hospitalizations and deaths among males and...
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Human footprint is associated with shifts in the assemblages of major vector-borne diseases
Predicting how increasing intensity of human–environment interactions affects pathogen transmission is essential to anticipate changing disease risks...
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Prediction and sensitivity analysis of chlorophyll a based on a support vector machine regression algorithm
Outbreaks of planktonic algae seriously affect the water quality of rivers and are difficult to control. Based on the analysis of the temporal and...
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Climate and vector-borne diseases in Indonesia: a systematic literature review and critical appraisal of evidence
Climate is widely known as an important driver to transmit vector-borne diseases (VBD). However, evidence of the role of climate variability on VBD...
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Predict water quality using an improved deep learning method based on spatiotemporal feature correlated: a case study of the Tanghe Reservoir in China
The ecological health of water quality is an essential factor in the survival and development of human beings. By setting up multiple sensors in the...
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A new approach for hydrograph data interpolation and outlier removal for vector autoregressive modelling: a case study from the Odra/Oder River
This study presents a new approach for predicting water levels of the Odra/Oder river using vector autoregressive models (VAR). We use water level...
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Evaluation of regional green innovation performance in China using a support vector machine-based model optimized by the chaotic grey wolf algorithm
AbstractThe green innovation performance (GIP) evaluation helps to identify strengths and weaknesses in regional innovation systems and has been...
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Predicting climate change and its impact on future occurrences of vector-borne diseases in West Bengal, India
Climate change is a concerning matter nowadays. It has a long-term effect on human health by spreading vector-borne diseases throughout the world,...
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Implementation of supervised principal component analysis for global sensitivity analysis of models with correlated inputs
Global Sensitivity Analysis (GSA) plays a significant role in quantifying the tangible impact of model inputs on the uncertainty of response...
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Using Harris hawk optimization towards support vector regression to ozone prediction
As an area experiencing air pollution, especially ozone concentrations that often exceed the threshold or are unhealthy, JABODETABEK (Jakarta, Bogor,...
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Use of support vector machine and cellular automata methods to evaluate impact of irrigation project on LULC
Land use and land cover (LULC) both define the earth’s surface both anthropogenically and naturally. It helps maintain global balance but changes in...
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Natural resource development, economic policy uncertainty and urban residents’ consumption in China: a nonlinear ARDL and time-varying parameter vector autoregressive with stochastic volatility approach
Increased risks of economic policy uncertainty and overexploitation of natural resources exist in China. At the same time, the growth rate of urban...
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Molecular epidemiology on seasonal variation of yellow mosaic disease incidence in blackgram (Vigna mungo L. Hepper) with its vector Bemisia tabaci
The yellow mosaic disease (YMD) of blackgram caused by Mungbean yellow mosaic virus has emerged as a serious threat to grain legume production,...
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Comparison of general kernel, multiple kernel, infinite ensemble and semi-supervised support vector machines for landslide susceptibility prediction
Landslide susceptibility prediction is a key step in preventing and managing landslide hazards. As a classical supervised non-parametric machine...
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Prediction of gas product yield from packaging waste pyrolysis: support vector and Gaussian process regression models
The pyrolysis process enables the transformation of plastic waste into products such as oil, solid residue, and gas at temperatures of around...
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Weight of Evidence for the Microplastic Vector Effect in the Context of Chemical Risk Assessment
The concern that in nature, ingestion of microplastic (MP) increases exposure of organisms to plastic-associated chemicals (the ‘MP vector effect’)...
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Dynamic common correlated effects of pandemic uncertainty on environmental quality: fresh insights from East-Asia and Pacific countries
It is well known that pandemic-related uncertainty affects various macroeconomic indicators, including environmental quality. Due to pandemic...
