Abstract The growing Artificial Intelligence (AI) age has been flooded with several
innovations in algorithmic machine learning that may bring significant impacts to industries …

In the dynamic field of renewable and sustainable energy, Artificial Intelligence (AI)
integration has emerged as a crucial catalyst for enhancing efficiency, cost reduction, and …

The wave energy sector has not reached a sufficient level of maturity for commercial
competitiveness, thus requiring further efforts towards optimizing existing technologies and …

The wave model WAVEWATCHIII is used to produce wave information, until the end of the
21st century, covering all ocean areas. Global wind and ice-cover climate data from a total of …

In recent years, marine energy research, like many other branches of science and
engineering, has explored the use of increasingly advanced machine learning techniques …

In this work, we introduce an improved form of the basic SEIRD model based on Python
simulation for the troublesome people who are oblivious about the contemporary pandemics …

In this work, a combined multidisciplinary method to characterize coastal cliff environments
is presented. It combined two complementary approaches–engineering and …

We propose a new point-prediction model, the DEep Learning WAVe Emulating model
(DELWAVE), which successfully emulates the behaviour of a numerical surface ocean wave …

This study presents a statistical approach that allows estimating the sea wave power (P max)
by using the joint probability distribution of the wave's significant height (H m) and period (T) …

Son yıllarda, sürdürülebilir bir dünya için yenilenemeyen enerji kaynaklarının kullanımının
azaltılması gerekliliği giderek daha belirgin hale gelmektedir. Fosil yakıt tüketiminden, daha …