Flood prediction using machine learning models: Literature review
Floods are among the most destructive natural disasters, which are highly complex to model.
The research on the advancement of flood prediction models contributed to risk reduction …
The research on the advancement of flood prediction models contributed to risk reduction …
[HTML][HTML] Materials discovery and design using machine learning
Y Liu, T Zhao, W Ju, S Shi - Journal of Materiomics, 2017 - Elsevier
The screening of novel materials with good performance and the modelling of quantitative
structure-activity relationships (QSARs), among other issues, are hot topics in the field of …
structure-activity relationships (QSARs), among other issues, are hot topics in the field of …
Phenological shifts in lake stratification under climate change
One of the most important physical characteristics driving lifecycle events in lakes is
stratification. Already subtle variations in the timing of stratification onset and break-up …
stratification. Already subtle variations in the timing of stratification onset and break-up …
[BUCH][B] Habitat suitability and distribution models: with applications in R
This book introduces the key stages of niche-based habitat suitability model building,
evaluation and prediction required for understanding and predicting future patterns of …
evaluation and prediction required for understanding and predicting future patterns of …
Improving prediction of water quality indices using novel hybrid machine-learning algorithms
River water quality assessment is one of the most important tasks to enhance water
resources management plans. A water quality index (WQI) considers several water quality …
resources management plans. A water quality index (WQI) considers several water quality …
Widespread loss of lake ice around the Northern Hemisphere in a warming world
S Sharma, K Blagrave, JJ Magnuson… - Nature Climate …, 2019 - nature.com
Ice provides a range of ecosystem services—including fish harvest, cultural traditions,
transportation, recreation and regulation of the hydrological cycle—to more than half of the …
transportation, recreation and regulation of the hydrological cycle—to more than half of the …
Updated review of advances in microRNAs and complex diseases: taxonomy, trends and challenges of computational models
Since the problem proposed in late 2000s, microRNA–disease association (MDA)
predictions have been implemented based on the data fusion paradigm. Integrating diverse …
predictions have been implemented based on the data fusion paradigm. Integrating diverse …
Rapid and highly variable warming of lake surface waters around the globe
In this first worldwide synthesis of in situ and satellite‐derived lake data, we find that lake
summer surface water temperatures rose rapidly (global mean= 0.34° C decade− 1) …
summer surface water temperatures rose rapidly (global mean= 0.34° C decade− 1) …
Naturalized alien flora of the world: species diversity, taxonomic and phylogenetic patterns, geographic distribution and global hotspots of plant invasion.
Rosaceae, Amaranthaceae, Pinaceae), some under-represented (eg Euphorbiaceae,
Rubiaceae), whereas the one richest in naturalized species, Compositae, reaches a value …
Rubiaceae), whereas the one richest in naturalized species, Compositae, reaches a value …
Comparing methods for detecting multilocus adaptation with multivariate genotype–environment associations
Identifying adaptive loci can provide insight into the mechanisms underlying local
adaptation. Genotype–environment association (GEA) methods, which identify these loci …
adaptation. Genotype–environment association (GEA) methods, which identify these loci …