134 天前 - … such hybrid business processes becomes a challenge that requires the development
of new models … and methods used in this study are described, and the main problems and …

136 天前 - … , has made remarkable progress in both the treatment and prediction of many
biological problems. However, this technology presents a critical challenge due to the size of the …

140 天前 - … our progress in the field of interesting machine learning-based DDoS detection.
Though challenging, … , ensuring that we navigate this challenging terrain with care and precision …

142 天前 - … problems can prevent the progression of the disease. In this paper, a Hybrid ensemble
machine learning model is … Our proposed model was built using conventional ensemble …

143 天前 - … the ability to model complex problems. The generalized IFS … and the development
of new hybrid methods. Furthermore, … in decision-making, there are still some limitations and …

148 天前 - … THRIVE is a prospective, longitudinal, observational study (NCT05919511) of
alloHCT recipients in the United States that uses a hybrid model designed to work with HCT …

154 天前 - … fundamental variable in modelling argumentation and decision-making for …
challenges in the theory of rationality. It is also pivotal to significant advances in the field of “hybrid …

155 天前 - … based identification of leukemia is challenging due to structural … Next, a hybrid feature
extraction approach is presented … We have proposed a hybrid deep learning methodology …

161 天前 - … challenges. This thesis proposes two methodologies for addressing this challenging
… analysis and monitoring of fouling progression and physics-informed machine learning …

162 天前 - … specific tasks … a hybrid models combining navies bayes combined with AdaBoost
which gives 85% accuracy and an Ensemble model combining Bagging and boosting models …