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Optimized ANN-RF hybrid model with optuna for fault detection and classification in power transmission systems. [PDF]

Sci Rep
Uzel H, Özüpak Y, Alpsalaz F, Aslan E.
europepmc   +1 more source

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Automating hyperparameter optimization in geophysics with Optuna: A comparative study

Geophysical Prospecting
AbstractDeep learning has gained attraction amongst geophysicists for solving complex longstanding problems. Nevertheless, proper hyperparameter optimization methodologies remain critically underexplored in geophysical deep learning research. This paper attempts to first highlight the importance of hyperparameter optimization and then showcase two ...
Umair bin Waheed, Hussain Almarzooq
exaly   +2 more sources

Optuna-XGBoost porosity prediction for logging profiles of carbonate formations

2024 5th International Conference on Big Data & Artificial Intelligence & Software Engineering (ICBASE)
Chongchong Yu
exaly   +3 more sources

Predicting scour depth in the presence of aprons using XGBoost-Optuna

Applied Soft Computing Journal
Mohammad Vaghefi, Chonoor Abdi, Masoud Ghodsian   +2 more
exaly   +2 more sources

CO2 Emission Prediction for Coal-Fired Power Plants by Random Forest-Recursive Feature Elimination-Deep Forest-Optuna Framework

Energies
As the greenhouse effect intensifies, China faces pressure to manage CO2 emissions. Coal-fired power plants are a major source of CO2 in China. Traditional CO2 emission accounting methods of power plants are deficient in computational efficiency and ...
Yuan Fang, Guang-Qian Luo, Zhenzhong Hu
exaly   +2 more sources

OLGBM: Optuna Optimized Light Gradient Boosting Machine for Intrusion Detection

2021 International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering (IC4ME2), 2021
Network technology has been evolved exponentially in the past few decades. At the same time, gazillions of network intrusion incidents are continuously forming cyberspace a shocking vulnerable domain to explore for the personnel from armature to the professionals. Consequently, networks mostly become botnet when there are no Intrusion Detection Systems
Arifin, Md Mashrur, Based, Md Abdul, Mumenin, Khondoker Mirazul, Imran, Ali, Azim, Mohammad Abdul, Alom, Zulfikar, Abdul Awal, Md   +6 more
openaire   +3 more sources

Optuna and AutoML

2020
We can now create an efficient model using the techniques that were discussed in the previous chapters. Bayesian optimization goes a long way in finding hyperparameters. This chapter provides an overview of the Optuna framework and discusses further the role of hyperparameter optimization in automated machine learning.
openaire   +1 more source

LSTM with forget gates optimized by Optuna for lithofacies prediction

2022
One of major technical competitions in energy industry relates to how optimally deep-learning architectures we can design. Optimization of hyperparameters is treated as labor-intensive. However, it is important to tune the parameters especially when we deal with relatively small targets, yet high-impact consequences can be resulted.
Yohei Nishitsuji, Jalil Nasseri
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Slope Stability Assessment Using an Optuna-TPE-Optimized CatBoost Model

Eng
Slope stability assessment is a critical component of engineering safety. Conventional analytical methods frequently struggle to integrate heterogeneous slope data and model intricate failure mechanisms, thereby constraining their efficacy in practical ...
Zhang Chengliang
exaly   +2 more sources

An Antenna Optimization Method Based on Optuna-ANN

2023 IEEE 11th Asia-Pacific Conference on Antennas and Propagation (APCAP), 2023
Hailong Yang, Zhaokui Tian, Xuping Li, Haitian Liu   +3 more
openaire   +1 more source