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
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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.
Lai Jung-Pin +2 more
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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
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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.
Yun Tang, Xiangyou Li, Li Xiangyou
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Machine learning model optimization with optuna for accurate prediction of strength and crack behavior in prestressed concrete beams [PDF]
Scientific ReportsPrestressed concrete beams are widely used in bridge and building structures, and their performance is directly related to the overall safety and durability.
Yuanyong Wen +6 more
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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
exaly +3 more sources
Applied Sciences (Switzerland)In order to solve the problem of the poor adaptability of the TBM digging process to changes in geological conditions, a new TBM digging model is proposed.
Kebin Shi, Renyi Shi, Jianming Zhang
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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
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Optimizing electric vehicle energy consumption prediction through machine learning and ensemble approaches [PDF]
Scientific ReportsAccurately predicting energy consumption in electric vehicles (EVs) is essential for enhancing energy efficiency and improving infrastructure planning.
Izhar Hussain +5 more
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IEEE AccessIn order to provide safe development of road freight traffic, this paper proposes a truck driving risk identification method based on Optuna optimization of machine learning model.
Zhaofei Wang, Hao Li
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