AIMC Topic: Water

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Stepwise decomposition-integration-prediction framework for runoff forecasting considering boundary correction.

The Science of the total environment
Predicting river runoff accurately is of substantial significance for flood control, water resource allocation, and basin ecological dispatching. To explore the reasonable and effective application of time series decomposition in runoff forecasting, ...

Miniature Amphibious Robot Actuated by Rigid-Flexible Hybrid Vibration Modules.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Amphibious robots can undertake various tasks in terrestrial and aquatic environments for their superior environmental compatibility. However, the existing amphibious robots usually utilize multi-locomotion systems with transmission mechanisms, leadi...

Deep learning for unravelling features of heterogeneous ice nucleation.

Proceedings of the National Academy of Sciences of the United States of America

Flow Pattern Identification of Oil-Water Two-Phase Flow Based on SVM Using Ultrasonic Testing Method.

Sensors (Basel, Switzerland)
A flow pattern identification method combining ultrasonic transmission attenuation with an ultrasonic reflection echo is proposed for oil-water two-phase flow in horizontal pipelines. Based on the finite element method, two-dimensional geometric simu...

Accelerating hydrodynamic simulations of urban drainage systems with physics-guided machine learning.

Water research
We propose and demonstrate a new approach for fast and accurate surrogate modelling of urban drainage system hydraulics based on physics-guided machine learning. The surrogates are trained against a limited set of simulation results from a hydrodynam...

The role of deep learning in urban water management: A critical review.

Water research
Deep learning techniques and algorithms are emerging as a disruptive technology with the potential to transform global economies, environments and societies. They have been applied to planning and management problems of urban water systems in general...

Design and applications of water irradiation devoid RF pulses for ultra-high field biomolecular NMR spectroscopy.

Physical chemistry chemical physics : PCCP
Water suppression is of paramount importance for many biological and analytical NMR spectroscopy applications. Here, we report the design of a new set of binomial-like radio frequency (RF) pulses that elude water irradiation while exciting or refocus...

Application of Quantum Chemical Topology Force Field FFLUX to Condensed Matter Simulations: Liquid Water.

Journal of chemical theory and computation
We present here the first application of the quantum chemical topology force field FFLUX to condensed matter simulations. FFLUX offers many-body potential energy surfaces learnt exclusively from data using Gaussian process regression. FFLUX also inc...

New deep learning method for efficient extraction of small water from remote sensing images.

PloS one
Extracting water bodies from remote sensing images is important in many fields, such as in water resources information acquisition and analysis. Conventional methods of water body extraction enhance the differences between water bodies and other inte...

Close-range remote sensing-based detection and identification of macroplastics on water assisted by artificial intelligence: A review.

Water research
Detection and identification of macroplastic debris in aquatic environments is crucial to understand and counter the growing emergence and current developments in distribution and deposition of macroplastics. In this context, close-range remote sensi...