AEJ - Alexandria Engineering JournalSintering performance index can reflect the quality of sintered ore, and the level of sintered ore performance directly affects the stability of blast furnace production.
Aimin Yang, Mingyu Wu
exaly +4 more sources
Optimizing Depression Classification Using Combined Datasets and Hyperparameter Tuning with Optuna
SensorsThis research focuses on the depression states classification of EEG signals using the EEGNet model optimized with Optuna. The purpose was to increase model performance by combining data from healthy and depressed subjects, which ensured model robustness
Stefana Duta
exaly +5 more sources
Enhanced meta ensemble stacking approach with XGBoost and optuna based detection of Parkinson's disease [PDF]
Frontiers in Digital HealthParkinson's disease (PD), a progressive neurological disorder affecting motor function, has been significantly rising in prevalence in recent years. Current diagnostic methods, relying on clinical observations, neurological exams, and periodical DaTscan ...
Annsley Mohan Joseph Raj +2 more
doaj +2 more sources
Tree-Based Machine Learning Models with Optuna in Predicting Impedance Values for Circuit Analysis
Micromachines, 2023 The transmission characteristics of the printed circuit board (PCB) ensure signal integrity and support the entire circuit system, with impedance matching being critical in the design of high-speed PCB circuits.
Ping-Feng Pai +2 more
exaly +3 more sources
Application of ADASYN and Optuna in the XGBoost Algorithm for Stunting Detection
Journal of Applied Informatics and ComputingThis study aims to develop an early detection model for childhood stunting risk using a machine learning approach based on Extreme Gradient Boosting (XGBoost), integrated with the Adaptive Synthetic Sampling (ADASYN) technique for data balancing and ...
Fastabyq Putra Sadewa, Defri Kurniawan
doaj +2 more sources
Fresh Meat Classification Using Laser-Induced Breakdown Spectroscopy Assisted by LightGBM and Optuna
FoodsTo enhance the accuracy of identifying fresh meat varieties using laser-induced breakdown spectroscopy (LIBS), we utilized the LightGBM model in combination with the Optuna algorithm.
Xiangyou Li, Yun Tang
exaly +3 more sources
Estimating thermal radiation of vertical jet fires of hydrogen pipeline based on linear integral and machine learning [PDF]
Scientific ReportsAccurate and efficient prediction of thermal radiant of hydrogen jet fire is important to schedule safety design and emergency rescue program for hydrogen pipelines. In response, this paper proposes a novel Optuna-improved back propagation neural network
Anqing Fu +4 more
doaj +2 more sources
A Ship Trajectory Prediction Method Based on an Optuna–BILSTM Model
Applied SciencesIn the field of maritime traffic management, overcoming the challenges of low prediction accuracy and computational inefficiency in ship trajectory prediction is crucial for collision avoidance.
Yipeng Zhou, Ze Dong, Xiongguan Bao
doaj +2 more sources
The Use of Machine Learning Models with Optuna in Disease Prediction
ElectronicsEffectively and equitably allocating medical resources, particularly for minority groups, is a critical issue that warrants further investigation in rural hospitals. Machine learning techniques have gained significant traction and demonstrated strong performance across various fields in recent years.
Ping-Feng Pai +2 more
exaly +2 more sources
Hyperparameter Tuning with Optuna to optimize the YOLOv11n Model for Weed Detection
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)Accurate weed detection is essential for maintaining the cleanliness and aesthetic appeal of residential yards. This study aimed to optimize YOLOv11n, a lightweight object detection model, to achieve high precision in weed identification under real-world
Candhy Fadhila Arsyad +2 more
doaj +2 more sources