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Found 6 papers, 1 papers with code
Unlocking Futures: A Natural Language Driven Career Prediction System for Computer Science and Software Engineering Students
Additionally, the research helps individual CS and SWE students find suitable jobs that match their skills, interests, and skill-related activities.
SugarcaneNet2024: An Optimized Weighted Average Ensemble Approach of LASSO Regularized Pre-trained Models for Sugarcane Disease Classification
This optimized sugarcaneNet2024 model performed the best for detecting sugarcane diseases, having achieved accuracy, precision, recall, and F1 score of 99. 67%, 100%, 100%, and 100% , respectively.
An Improved Model for Diabetic Retinopathy Detection by using Transfer Learning and Ensemble Learning
Diabetic Retinopathy (DR) is an ocular condition caused by a sustained high level of sugar in the blood, which causes the retinal capillaries to block and bleed, causing retinal tissue damage.
An Improved Model Ensembled of Different Hyper-parameter Tuned Machine Learning Algorithms for Fetal Health Prediction
This indicates that the ETSE model can effectively predict fetal health, which can aid in timely interventions and improve outcomes for both the mother and the baby.
An Improved Heart Disease Prediction Using Stacked Ensemble Method
Most of the classifiers, pretreatment strategies, validation methods, and performance assessment metrics for classification models have been discussed in this study.
