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Merging TROPOMI and eddy covariance observations to quantify 5-years of daily CH4 emissions over coal-mine dominated region
A simple and flexible mass balance approach was applied to observations of XCH 4 from TROPOMI to estimate CH 4 emissions over Shanxi Province,...
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Genesis Geological Model of Intracontinental Volcanism Contribution in Polymorphic Silica Geodes Formation, Northern Arabian Plate
The study aims to create a geological model of the role of intracontinental volcanism in the northern Arabian Plate and the formation of various...
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Negative-sample-free knowledge graph embedding
Recently, knowledge graphs (KGs) have been shown to benefit many machine learning applications in multiple domains (e.g. self-driving, agriculture,...
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Extract Implicit Semantic Friends and Their Influences from Bipartite Network for Social Recommendation
Social recommendation often incorporates trusted social links with user-item interactions to enhance rating prediction. Although methods that...
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Joint identification of contaminant source and dispersion coefficients based on multi-observed reconstruction and ensemble Kalman filtering
Accurate and efficient identification of pollution sources is a key process that assists in the treatment of water pollution incidents. The ensemble...
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Projected changes in population exposure to extreme precipitation events over Central Africa under the global warming levels of 1.5 °C and 2 °C: insights from CMIP6 simulations
Assessing the impacts of limiting the Global Warming Level (GWL) of 1.5–2 °C is crucial for strengthening adaptation to climate change in Central...
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Carbon materials in current zinc ion energy storage devices towards sustainability
Emerging energy storage devices are vital approaches towards peak carbon dioxide emissions. Zinc-ion energy storage devices (ZESDs), including zinc...
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Image classification for sub-surface crack identification in concrete dam based on borehole CCTV images using deep dense hybrid model
The research investigates the significance of identifying structure discontinuities, such as cracks, in concrete dams to ensure dam safety and...
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Towards a high-quality fertilizer based on algae residues treated via hydrothermal carbonization. Trends on how process parameters influence inorganics
The use of beach-cast macroalgae as a fertilizer (F) or soil amendment (SA) is coming back into focus, due to its highly efficient transformation of...
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Automation of takeoff data for aviation services using self-supervised LSTM approaches with time-series prediction
Landing and takeoff are the most crucial phases of any flight; in particular, the takeoff configuration of an aircraft is a delicate balance between...
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Assessment and prediction of water quality indices by machine learning-genetic algorithm and response surface methodology
Conventional techniques for determining water adequacy are generally expensive because they take into account a variety of factors. Thus, the problem...
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Moisture penetration and distribution characterization of hard coal: a µ-CT study
Moisture content of rock/coal can change its mechanical properties and absorption capacities, which can directly affect gas diffusivity, change the...
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Downscaling crop production data to fine scale estimates with geostatistics and remote sensing: a case study in map** cotton fibre quality
PurposeA generalised approach to downscale areal observations of crop production data is illustrated using cotton yield and fibre quality (length and...
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Exploring the dynamical bifurcation and stability analysis of Nipah virus; novel perspectives utilizing fractional calculus
A zoonotic virus called the Nipah virus (NV) can create deadly illness epidemics in humans. The animal host repository for NV is the fruit bat,...
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On-farm cereal rye biomass estimation using machine learning on images from an unmanned aerial system
This study assesses the potential of using multispectral images collected by an unmanned aerial system (UAS) on machine learning (ML) frameworks to...
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Comparing the performance of Ridge Regression and Lasso techniques for modelling daily maximum temperatures in Utraradit Province of Thailand
Daily maximum temperature is one of the important climate components for every country. There are many explanatory variables that may affect a...
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Fertilization and soil management machine learning based sustainable agronomic prescriptions for durum wheat in Italy
PurposeThis research aims to develop a meta-machine learning model to optimize soil and nitrogen management for durum wheat in Italy. It addresses...
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Scalable Bayesian p-generalized probit and logistic regression
The logit and probit link functions are arguably the two most common choices for binary regression models. Many studies have extended the choice of...
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A new optimized hybrid approach combining machine learning with WRF-CHIMERE model for PM10 concentration prediction
The forecast of particulate matter PM10 concentration is crucial due to its impacts on public health and the environment. Chemical Transport Models...
