72 天前 - … , starting a career, and challenging the traditionally gendered aspects of … hybrid
stacking model merging decision tree, gradient boosting, and gaussian naïve bayes. This hybrid …

72 天前 - … presents a hybrid technique that incorporates sophisticated algorithms, notably deep
learning and autoencoders, in response to issues related to subjectivity in human decision-…

72 天前 - … diverse sources, a challenge compounded by the involvement of … Process (CC/AHP)
hybrid model, this study proposes a … The CC/AHP model merges the AHP process with CC …

72 天前 - … use a hybrid approach that blends two or more models for a … reflecting on problems
using models organized around … modeling represents real-world objects by modeling the real…

73 天前 - … difficulties in cybersecurity and intrusions in cyber-physical system. This work proposed
the hybrid … , which minimize modeling's computational cost and choose the best features…

74 天前 - … Hybrid and electric powertrains are … issues is lightweighting, which involves reducing
the weight of vehicles to minimize their impact during the use phase. Mathematical models …

76 天前 - … deep learning (DL) in nutrition sciences and highlighting eventual challenges and
futuristic directions. A hybrid approach from the systematic literature review (SLR) guidelines …

76 天前 - … challenges due to ambiguity, dialects, and limited resources. Using convolutional
neural networks (CNN) and hybrid models… using various deep learning models. The proposed …

78 天前 - … This paper addresses the challenge of detecting attacks on Industrial Control Systems
(… Short-Term Memory (LSTM), and a hybrid model that fuses the two, referred to as CNN-…

78 天前 - … researcher collaboration for advancement. However, few studies used hybrid
techniques and prediction models to accurately analyze pavement problems and make cost-…