Results 11 to 20 of about 4,028 (199)

Optuna Tabanlı Hiper Parametre Optimizasyonu ile Konut Fiyat Tahminlemede Makine Öğrenmesi Tekniklerinin Karşılaştırmalı Analizi

Gazi Üniversitesi Fen Bilimleri Dergisi
Konut 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

Enhanced meta ensemble stacking approach with XGBoost and optuna based detection of Parkinson's disease [PDF]

Frontiers in Digital Health
Parkinson'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, S. Lakshmi Kruthika, Abinaya S   +2 more
doaj   +2 more sources

Application of the Optuna-NeuralProphet model for predicting step-like landslide displacement

AIP Advances
Displacement 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

Enhancing Liver Cirrhosis Staging Accuracy using Optuna-Optimized TabNet

Journal of Applied Informatics and Computing
Liver cirrhosis is a progressive chronic disease whose early detection poses a clinical challenge, making accurate severity staging crucial for patient management.
Muhammad Farhan Arifin, Ika Novita Dewi, Abu Salam, Danang Wahyu Utomo, Sindhu Rakasiwi   +4 more
doaj   +2 more sources

Otimização Multiobjetiva de um Integrador Numérico Adaptativo Utilizando o Optuna

Vetor
A 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, Rafael Pereira Bianchin, Ângelo de Carvalho Paulino, Angelo Passaro   +3 more
doaj   +2 more sources

Interpretable machine learning for predicting EUR of shale gas wells in the Weiyuan block [PDF]

Scientific Reports
For shale gas development, it is essential to clarify the main controlling factors of EUR and realize its accurate prediction. Based on data from 123 wells in the Weiyuan block, this study combines Pearson correlation analysis, RF-RFE algorithm, and ...
Sijie He, Feifei Fang, Jin Chang, Xizhe Li, Ruilan Luo, Nijun Qi   +5 more
doaj   +2 more sources

Estimating thermal radiation of vertical jet fires of hydrogen pipeline based on linear integral and machine learning [PDF]

Scientific Reports
Accurate 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, Weidong Li, Mingxing Li, Hang Su, Chaoming Wang   +4 more
doaj   +2 more sources

The Optuna–LightGBM–XGBoost Model: A Novel Approach for Estimating Carbon Emissions Based on the Electricity–Carbon Nexus

Applied Sciences
With the challenge posed by global warming, accurately estimating and managing carbon emissions becomes a key step for businesses, especially power generation companies, to reduce their environmental impact.
Yuanhang Cai, Jianxin Feng, Yanqing Wang, Yuanming Ding, Yue Hu, Hui Fang   +5 more
doaj   +8 more sources

Analysis of Gradient Boosting Algorithms with Optuna Optimization and SHAP Interpretation for Phishing Website Detection

Journal of Applied Informatics and Computing
Phishing remains a persistent cybersecurity threat, evolving rapidly to bypass traditional blacklist-based detection systems. Machine Learning (ML) approaches offer a promising solution, yet finding the optimal balance between detection accuracy and ...
Rahmat Fauzi Abu Bakar, Majid Rahardi
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, Pulung Nurtantio Andono, Moch Arief Soeleman   +2 more
doaj   +2 more sources