Results 111 to 120 of about 4,926,046 (277)
Advances in integrating artificial intelligence into 3D bioprinting are systematically reviewed here. Machine learning, computer vision, robotics, natural language processing, and expert systems are examined for their roles in optimizing bioprinting parameters, real‐time monitoring, quality control, and predictive maintenance.
Joao Vitor Silva Robazzi +10 more
wiley +1 more source
Application of decision trees in credit scoring
Banks are particularly exposed to credit risk due to the nature of their operations. Inadequate assessment of the borrower directly causes losses. The financial crisis the global economy is still going through has clearly shown what kind of problems ...
Ljiljanka Kvesić
doaj
Using Genetic Algorithm in Optimizing Decision Trees for Credit Scoring of Banks Customers [PDF]
Decision trees as one of the data mining techniques, is used in credit scoring of bank customers. The main problem is the construction of decision trees in that they can classify customers optimally.
Mahmood i Alborz +2 more
doaj
Application of soil properties, auxiliary parameters, and their combination for prediction of soil classes using decision tree model [PDF]
M. Shahini Shamsabadi +3 more
openalex +1 more source
An alginate‐based biochar hydrogel (ABC‐hydrogel), derived from sewage sludge, is developed for simultaneous phosphate removal and agricultural reuse. It captures phosphorus from water and gradually releases it as fertilizer, enhancing lettuce growth.
Yu Zhang +4 more
wiley +1 more source
Shellac, a centuries‐old natural resin, is reimagined as a green material for flexible electronics. When combined with silver nanowires, shellac films deliver transparency, conductivity, and stability against humidity. These results position shellac as a sustainable alternative to synthetic polymers for transparent conductors in next‐generation ...
Rahaf Nafez Hussein +4 more
wiley +1 more source
Decision trees offer the benefit of easy interpretation because they allow the classification of input data based on if–then rules. However, as decision trees are constructed by an algorithm that achieves clear classification with minimum ...
Yuto Omae, Masaya Mori, Yohei Kakimoto
doaj +1 more source
Heart Attack Prediction and Analysis System Using Decision Tree Algorithm
Mayuri Asabe +4 more
openalex +2 more sources
Decision Tree Algorithm In Analyzing The Incidence Of Neonatal Sepsis At Ulin Hospital Of Banjarmasin In 2016 [PDF]
Fitri Yuliana +2 more
openalex +1 more source
Learning optimal decision trees using constraint programming
Hélène Verhaeghe +4 more
semanticscholar +1 more source

