A review of the modification strategies of the nature inspired algorithms for feature selection problem
This survey is an effort to provide a research repository and a useful reference for
researchers to guide them when planning to develop new Nature-inspired Algorithms …
researchers to guide them when planning to develop new Nature-inspired Algorithms …
Scour protection measures for offshore wind turbines: a systematic literature review on recent developments
Offshore wind energy is considered as one of the most promising resources of clean and
renewable energy to replace fossil fuels. Additionally, its cost is expected to be lower than …
renewable energy to replace fossil fuels. Additionally, its cost is expected to be lower than …
Maximization of energy absorption for a wave energy converter using the deep machine learning
A controller is usually used to maximize the energy absorption of wave energy converter.
Despite the development of various control strategies, the practical implementation of wave …
Despite the development of various control strategies, the practical implementation of wave …
Efficient data-driven machine learning models for scour depth predictions at slo** sea defences
Seawalls are critical defence infrastructures in coastal zones that protect hinterland areas
from storm surges, wave overtop** and soil erosion hazards. Scouring at the toe of sea …
from storm surges, wave overtop** and soil erosion hazards. Scouring at the toe of sea …
An integrated framework of extreme learning machines for predicting scour at pile groups in clear water condition
In this study, an integrated framework of Extreme Learning Machines (ELM) was developed
to predict local scour depth around pile groups in clear water. The effective variables on …
to predict local scour depth around pile groups in clear water. The effective variables on …
Prediction of scour depth below river pipeline using support vector machine
In this paper, the depth of scouring phenomenon below the pipelines across rivers was
predicted using Support Vector Machine (SVM). To this end, the related dataset was …
predicted using Support Vector Machine (SVM). To this end, the related dataset was …
[HTML][HTML] Flow completion network: Inferring the fluid dynamics from incomplete flow information using graph neural networks
This paper introduces a novel neural network—a flow completion network (FCN)—to infer
the fluid dynamics, including the flow field and the force acting on the body, from the …
the fluid dynamics, including the flow field and the force acting on the body, from the …
Data-driven and numerical approaches to predict thermal comfort in traditional courtyards
This paper studies the climactic performance of the 10 traditional courtyards located in warm-
dry climates of Kashan and cold climates of Ardabil based on shading and sunlit coverage …
dry climates of Kashan and cold climates of Ardabil based on shading and sunlit coverage …
Prediction of solitary wave attenuation by emergent vegetation using genetic programming and artificial neural networks
Analyzing the attenuation of extreme waves by coastal emergent vegetation provides crucial
information on revetment planning. In this study, three kinds of laboratory experiments of …
information on revetment planning. In this study, three kinds of laboratory experiments of …
Optimal design of brace-viscous damper and pendulum tuned mass damper using Particle Swarm Optimization
A Pourzangbar, M Vaezi - Applied Ocean Research, 2021 - Elsevier
Abstract We implemented Particle Swarm Optimization (PSO) to determine the most optimal
properties of the brace-viscous damper system (BVDS), pendulum tuned mass damper …
properties of the brace-viscous damper system (BVDS), pendulum tuned mass damper …