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
exaly +4 more sources
The Effect of SMOTE and Optuna Hyperparameter Optimization on TabNet Performance for Heart Disease Classification [PDF]
Jurnal SisfokomHeart disease is a medical condition affecting the cardiovascular system, disrupting blood circulation and reducing cardiac function efficiency, which can lead to severe health complications.
Danang Wijayanto +3 more
doaj +2 more sources
Gazi Üniversitesi Fen Bilimleri DergisiKonut fiyatlarının etkili bir şekilde tahmin edilmesi, ekonominin şekillenmesinde kritik bir rol oynamaktadır. Bu çalışmanın amacı, konut fiyatlarını tahminlemede en iyi performans gösteren makine öğrenmesi modelini belirlemektir.
Vahid Sinap
doaj +2 more sources
Improving Tomato Ripeness Classification Using Knowledge Distillation and Hyperparameter Optimization with Optuna [PDF]
Journal of Electrical Engineering and ComputerAutomatic classification of tomato ripeness plays a crucial role in ensuring post-harvest quality and efficiency in the horticultural industry. This study proposes a combined strategy of Knowledge Distillation (KD) and hyperparameter optimization using ...
Iasya Sholihin, Andi Sunyoto
doaj +2 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
Enhancing Liver Cirrhosis Staging Accuracy using Optuna-Optimized TabNet
Journal of Applied Informatics and ComputingLiver cirrhosis is a progressive chronic disease whose early detection poses a clinical challenge, making accurate severity staging crucial for patient management.
Muhammad Farhan Arifin +4 more
doaj +2 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
Application of the Optuna-NeuralProphet model for predicting step-like landslide displacement
AIP AdvancesDisplacement prediction is crucial to landslide engineering monitoring and early warning. An Optuna-NeuralProphet model is proposed based on the Optuna framework and the NeuralProphet model to address the challenge of predicting step-like landslide ...
Ming Huang, Hougang Yang, Fan Yang
doaj +2 more sources
Otimização Multiobjetiva de um Integrador Numérico Adaptativo Utilizando o Optuna
VetorA integração numérica de equações diferenciais ordinárias é um dos problemas mais comuns em análise numérica. Diversos métodos e técnicas estão disponíveis na literatura, assim como diferentes combinações de heurísticas e parâmetros.
Daniel Augusto de Sousa Mendes +3 more
doaj +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