While design thinking has traditionally been the cornerstone of university design pedagogy and remains essential, the increasing role of digital tools and artificial intelligence in modern design practices pres
Additionally, this research introduces novel computational approaches, specifically artificial neural network (ANN) and extreme learning machine (ELM) models, which utilize evolutionary algorithms and artificial intelligence (AI). These techniques are employed to predict the soil's load-bearing capacity. ...
RCSB Protein Data Bank (RCSB.org): delivery of experimentally-determined PDB structures alongside one million computed structure models of proteins from artificial intelligence/machine learning. Nucleic Acids Res. 2023;51(D1):D488–508. Article CAS PubMed Google Scholar Brito JA, Archer M. Structu...
Computational Intelligence Based Decision Support Tool for Personalized Advertisement Assignment System. Int. J. Comput. Intell. Syst. 2013, 6, 396–410. [Google Scholar] [CrossRef] [Green Version] Kanagal, B.; Ahmed, A.; Pandey, S.; Josifovski, V.; Garcia-Pueyo, L.; Yuan, J. ...
sensors Article A Novel QKD Approach to Enhance IIOT Privacy and Computational Knacks Kranthi Kumar Singamaneni 1 , Gaurav Dhiman 2,3,4 , Sapna Juneja 5 , Ghulam Muhammad 6,7,* , Salman A. AlQahtani 6,7 and John Zaki 8 1 Department of Computer Science and Engineering, School of ...
Using AE test results with artificial intelligence such as support vector machine or pattern recognition proved to be a good tool in assessing materials [39–41]. The localization of damage in this paper was focused on the middle third span of the beam, where the mode of failure is the ...
Both types of agents are capable of learning to trade but are zero-intelligence on all other behaviors [29]. Other studies have investigated the influences that the execution methods of trading strategies have on the market, in which agents are categorized based on their level of patience to ...
In this study, hybrid integration of MultiBoosting based on two artificial intelligence methods (the radial basis function network (RBFN) and credal decision tree (CDT) models) and geographic information systems (GIS) were used to establish landslide susceptibility maps, which were used to evaluate ...
In this study, hybrid integration of MultiBoosting based on two artificial intelligence methods (the radial basis function network (RBFN) and credal decision tree (CDT) models) and geographic information systems (GIS) were used to establish landslide susceptibility maps, which were used to evaluate ...