Results 71 to 80 of about 2,998 (192)
NTU Journal of Engineering and TechnologyAlzheimer's Disease (AD) is considered one of the most prevalent neurological disorders, primarily affecting elderly people and adversely impacting their brain functions. This disease is characterized by the gradual deterioration of cognitive functions,
Nawzt Sadiq Jaafar Al-Bayati +1 more
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OPTUNA Optimization Based CNN-LSTM Model for Predicting Electric Power Consumption
, 2020 Forecasting residential energy consumption using deep neural networks has been attempted in past researches. Typically, optimizing these networks relies on the operator’s prior knowledge.
Ekundayo, Ibidokun
core
The Use of Hyperparameter Tuning in Model Classification: A Scientific Work Area Identification
JOIV: International Journal on Informatics VisualizationThis research aims to investigate the effectiveness of hyperparameter tuning, particularly using Optuna, in enhancing the classification performance of machine learning models on scientific work reviews. The study focuses on automating the classification
Nadya Alinda Rahmi +2 more
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Enhanced Modelling Performance with Boosting Ensemble Meta-Learning and Optuna Optimization
SN Computer ScienceAbstractImproving modeling performance on imbalanced multi-class classification problems has continued to attract attention from researchers considering the critical and significant role such models should play in mitigating the prevalent problem. Ensemble Learning (EL) techniques are among the key methods utilized by researchers as they are known for ...
Tertsegha J. Anande +2 more
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Classification of Infected Salmon Using CNN Deep Features and Optuna-Optimized SVM
Fish diseases are a major challenge in the aquaculture industry, impacting productivity and the economy, particularly in salmon farming. This study aims to develop an image classification system for infected salmon using Convolution Neural Network (CNN ...
Ayu, Putu Desiana Wulaning +2 more
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Optimization of diabetes prediction methods based on combinatorial balancing algorithm
Nutrition & DiabetesBackground Diabetes, as a significant disease affecting public health, requires early detection for effective management and intervention. However, imbalanced datasets pose a challenge to accurate diabetes prediction.
HuiZhi Shao +3 more
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Underground SpaceThis study aims to develop and evaluate a natural gradient boosting (NGBoost) model optimized with Optuna for estimating ground settlement during tunnel excavation, incorporating Shapley additive explanations (SHAP) to perform interpretability analysis ...
Yuxin Chen +2 more
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Optimization of The Machine Learning Approach using Optuna in Heart Disease Prediction
Journal Medical Informatics Technology, 2023 Heart disease prediction is a critical area in healthcare, as early identification and accurate assessment of cardiovascular risks can lead to improved patient outcomes. This study explores the application of machine learning techniques for predicting heart disease.
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IEEE AccessBreast cancer is one of the most prevalent and life-threatening diseases among women worldwide, making early and accurate detection crucial for effective treatment.
Prabhat Kumar Sahu, Taiyaba Fatma
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Prediction of soil conditioner dosages for shield tunneling in sandy soil based on machine learning
Case Studies in Construction MaterialsInadequate soil conditioning during Earth Pressure Balance shield (EPBS) tunneling in sandy strata frequently causes operational issues. This study developed a data-driven framework integrating 15 operational and geological parameters from Shenyang Metro
Keqi Liu +4 more
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