Results 21 to 30 of about 1,578 (156)

Improving Tomato Ripeness Classification Using Knowledge Distillation and Hyperparameter Optimization with Optuna [PDF]

Journal of Electrical Engineering and Computer
Automatic 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

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

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

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

A Novel Identification Approach Using RFECV–Optuna–XGBoost for Assessing Surrounding Rock Grade of Tunnel Boring Machine Based on Tunneling Parameters

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   +3 more sources

A novel epileptic seizure prediction model based on Cox-Stuart and Optuna

Frontiers in Neurology
Objectives In order to more accurately predict whether patients with intractable epilepsy are about to develop seizures, this paper proposes an epilepsy prediction model. Methods When the amount of targeted patient data is small, A Cox-
Zhang, Xizhen, Zhang, Xiaoli, Chen, Fuming   +2 more
exaly   +3 more sources