13   Artículos

 
en línea
Mohammad Barooni and Deniz Velioglu Sogut    
The design and optimization of floating offshore wind turbines (FOWTs) pose significant challenges, stemming from the complex interplay among aerodynamics, hydrodynamics, structural dynamics, and control systems. In this context, this study introduces an... ver más
Revista: Clean Technologies    Formato: Electrónico

 
en línea
Anik Baul, Gobinda Chandra Sarker, Prokash Sikder, Utpal Mozumder and Ahmed Abdelgawad    
Short-term load forecasting (STLF) plays a crucial role in the planning, management, and stability of a country?s power system operation. In this study, we have developed a novel approach that can simultaneously predict the load demand of different regio... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

 
en línea
Ligang Yuan, Jing Liu, Haiyan Chen, Daoming Fang and Wenlu Chen    
Scene taxiing time is an important indicator for assessing the operational efficiency of airports as well as green airports, and it is also a fundamental parameter in flight regularity statistics. The accurate prediction of taxiing time can help decision... ver más
Revista: Aerospace    Formato: Electrónico

 
en línea
Guowei Hua, Shijie Wang, Meng Xiao and Shaohua Hu    
Dam safety is considerably affected by seepage, and uplift pressure is a key indicator of dam seepage. Thus, making accurate predictions of uplift pressure trends can improve dam hazard forecasting. In this study, a convolutional neural network, (CNN)-ga... ver más
Revista: Water    Formato: Electrónico

 
en línea
Zhongyan Liu, Jiangtao Mei, Deguo Wang, Yanbao Guo and Lei Wu    
As a new type of riser connecting offshore platforms and submarine pipelines, steel catenary risers (SCRs) are generally subject to waves and currents for a long time, thus it is significant to fully evaluate the SCR structure?s safety. Aiming at the dam... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Ammar Odeh and Anas Abu Taleb    
Cybersecurity finds widespread applications across diverse domains, encompassing intelligent industrial systems, residential environments, personal gadgets, and automobiles. This has spurred groundbreaking advancements while concurrently posing persisten... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Nasir Ayub, Usman Ali, Kainat Mustafa, Syed Muhammad Mohsin and Sheraz Aslam    
In the smart grid (SG), user consumption data are increasing very rapidly. Some users consume electricity legally, while others steal it. Electricity theft causes significant damage to power grids, affects power supply efficiency, and reduces utility rev... ver más
Revista: Forecasting    Formato: Electrónico

 
en línea
Alysha van Duynhoven and Suzana Dragicevic    
An open problem impeding the use of deep learning (DL) models for forecasting land cover (LC) changes is their bias toward persistent cells. By providing sample weights for model training, LC changes can be allocated greater influence in adjustments to m... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Raghad Alshalan and Hend Al-Khalifa    
With the rise of hate speech phenomena in the Twittersphere, significant research efforts have been undertaken in order to provide automatic solutions for detecting hate speech, varying from simple machine learning models to more complex deep neural netw... ver más
Revista: Applied Sciences    Formato: Electrónico

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