Double AMIS-ensemble deep learning for skin cancer classification
This study aims to create a precise skin cancer classification system (SC-CS) able to
distinguish various skin cancer types. Targeted categories include melanoma, vascular …
distinguish various skin cancer types. Targeted categories include melanoma, vascular …
[HTML][HTML] Drug-resistant tuberculosis treatment recommendation, and multi-class tuberculosis detection and classification using ensemble deep learning-based system
C Prasitpuriprecha, SS Jantama, T Preeprem… - Pharmaceuticals, 2022 - mdpi.com
This research develops the TB/non-TB detection and drug-resistant categorization diagnosis
decision support system (TB-DRC-DSS). The model is capable of detecting both TB …
decision support system (TB-DRC-DSS). The model is capable of detecting both TB …
[HTML][HTML] Prediction of the Ultimate Tensile Strength (UTS) of Asymmetric Friction Stir Welding Using Ensemble Machine Learning Methods
This research aims to develop ensemble machine-learning methods for forecasting the
ultimate tensile strength (UTS) of friction stir welding (FSW). The substance utilized in the …
ultimate tensile strength (UTS) of friction stir welding (FSW). The substance utilized in the …
[HTML][HTML] Computer-aided diagnosis using embedded ensemble deep learning for multiclass drug-resistant tuberculosis classification
Methods The ensemble deep learning model employed in the TB-DRD-CXR web
application incorporates novel fusion techniques, image segmentation, data augmentation …
application incorporates novel fusion techniques, image segmentation, data augmentation …
[HTML][HTML] A Multiple Response Prediction Model for Dissimilar AA-5083 and AA-6061 Friction Stir Welding Using a Combination of AMIS and Machine Learning
R Kraiklang, C Chueadee, G Jirasirilerd, W Sirirak… - Computation, 2023 - mdpi.com
This study presents a methodology that combines artificial multiple intelligence systems
(AMISs) and machine learning to forecast the ultimate tensile strength (UTS), maximum …
(AMISs) and machine learning to forecast the ultimate tensile strength (UTS), maximum …
[HTML][HTML] A Predictive Model for Weld Properties in AA-7075-FSW: A Heterogeneous AMIS-Ensemble Machine Learning Approach
This study addresses the research gap in materials science by developing an integrated
predictive model for Ultimate Tensile Strength (UTS), Maximum Hardness (MH), and Heat …
predictive model for Ultimate Tensile Strength (UTS), Maximum Hardness (MH), and Heat …
[HTML][HTML] Automated Classification of Agricultural Species through Parallel Artificial Multiple Intelligence System–Ensemble Deep Learning
The classification of certain agricultural species poses a formidable challenge due to their
inherent resemblance and the absence of dependable visual discriminators. The accurate …
inherent resemblance and the absence of dependable visual discriminators. The accurate …
[HTML][HTML] Computer-aided diagnosis using embedded ensemble deep learning for multiclass drug-resistant tuberculosis classification
Introduction This study aims to develop a web application, TB-DRD-CXR, for the
categorization of tuberculosis (TB) patients into subgroups based on their level of drug …
categorization of tuberculosis (TB) patients into subgroups based on their level of drug …