Wave energy evolution: Knowledge structure, advancements, challenges and future opportunities
Harnessing energy from ocean waves presents a promising solution to combating global
climate change in the marine environment, significantly contributing to mitigation efforts …
climate change in the marine environment, significantly contributing to mitigation efforts …
Enhancing resilience of urban underground space under floods: Current status and future directions
Urban underground space (UUS) has become an integral component of modern cities.
However, its vulnerability to inundation results in flood disasters occurring in UUS worldwide …
However, its vulnerability to inundation results in flood disasters occurring in UUS worldwide …
[HTML][HTML] Modeling wave dynamics with coastal vegetation using a smoothed particle hydrodynamics porous flow model
Coastal vegetation serves as an effective nature-based solution for protecting shorelines
from erosion and storm surges. A detailed understanding of the dynamic interactions …
from erosion and storm surges. A detailed understanding of the dynamic interactions …
Impact of climate change on future flood susceptibility projections under shared socioeconomic pathway scenarios in South Asia using artificial intelligence algorithms
This study investigated the impact of climate change on flood susceptibility in six South
Asian countries Afghanistan, Bangladesh, Bhutan, Bharat (India), Nepal, and Pakistan …
Asian countries Afghanistan, Bangladesh, Bhutan, Bharat (India), Nepal, and Pakistan …
[HTML][HTML] A multi-fidelity deep operator network (DeepONet) for fusing simulation and monitoring data: Application to real-time settlement prediction during tunnel …
Ground settlement prediction during mechanized tunneling is of paramount importance and
remains a challenging research topic. Typically, two paradigms are existing: a physics …
remains a challenging research topic. Typically, two paradigms are existing: a physics …
Towards a semi-supervised ensemble clustering framework with flexible weighting mechanism and constraints information
Clustering is a fundamental task in data analysis, aiming to partition a set of samples into
subsets called clusters based on their similarity. Agglomerative Hierarchical Clustering …
subsets called clusters based on their similarity. Agglomerative Hierarchical Clustering …
[PDF][PDF] Water Research X
S Li, W Tian, H Yan, W Zeng, T Tao, K Xin - Water Research, 2024 - researchgate.net
Transitions between free-surface and pressurized flows, known as transient mixed flows,
have posed significant challenges in urban drainage systems (UDS), eg, pipe bursts, road …
have posed significant challenges in urban drainage systems (UDS), eg, pipe bursts, road …
An explainable neural network integrating Jiles-Atherton and nonlinear auto-regressive exogenous models for modeling universal hysteresis
L Ni, J Chen, G Chen, D Zhao, G Wang… - … Applications of Artificial …, 2024 - Elsevier
The inherent nonlinear and memory-dependent input-output characteristics of piezoelectric
actuators pose challenges to the precision of piezoelectric positioning systems. In order to …
actuators pose challenges to the precision of piezoelectric positioning systems. In order to …
Advanced streamflow forecasting for Central European rivers: the cutting-edge Kolmogorov-Arnold Networks compared to Transformers
Accurate streamflow forecasting is crucial for effective water resource management, flood
mitigation, and maintaining ecological balance, especially in Central Europe's major rivers …
mitigation, and maintaining ecological balance, especially in Central Europe's major rivers …
Daily river flow simulation using ensemble disjoint aggregating M5-Prime model
Accurate prediction of daily river flow (Q t) remains a challenging yet essential task in
hydrological modeling, particularly crucial for flood mitigation and water resource …
hydrological modeling, particularly crucial for flood mitigation and water resource …