Results 101 to 110 of about 2,559 (181)

Enhancing Hepatitis C Diagnosis: The Impact of SMOTE, Optuna, and SHAP on Detection Methods [PDF]

Iranian Journal of Electrical and Electronic Engineering
Hepatitis C virus (HCV) detection is a critical aspect of early intervention and effective management of the disease. This paper presents a comprehensive study focused on enhancing the detection accuracy of HCV through the integration of advanced ...
S.M Mehzabeen, R Gayathri, Pattunnarajam Paramasaivam, Ramya A   +3 more
doaj  

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

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   +1 more source

An Optuna-Based Metaheuristic Optimization Framework for Biomedical Image Analysis

Engineering, Technology & Applied Science Research
The success of Deep Learning (DL) in biomedical imaging heavily relies on optimal hyperparameter selection, which remains a complex and computationally intensive challenge. This paper introduces a metaheuristic-inspired Optuna framework for efficient hyperparameter optimization and validates its effectiveness using U-Net as a case study for brain MRI ...
openaire   +1 more source

GWtuna: Trawling through the data to find Gravitational Waves with Optuna and Jax

GWtuna is a fast gravitational-wave search prototype built on Optuna (optimisation software library) and JAX (accelerator-orientated array computation library) [1, 2]. Using Optuna, we introduce black box optimisation algorithms and evolutionary strategy algorithms to the gravitational-wave community.
Green, Susanna, Lundgren, Andrew
openaire   +2 more sources

Heart disease prediction using rough neutrosophic sets and dual-attention neural networks: RNS-OptiDANet. [PDF]

Front Artif Intell
Ashika T, Hannah Grace G.
europepmc   +1 more source

Prediction of Ligand Binding to Transthyretin Using Machine Learning Algorithms and Low-Dimensional Molecular Descriptors: A Tox24 Challenge Study. [PDF]

Chem Res Toxicol
Stefaniak F.
europepmc   +1 more source

Accelerating photonic gas sensor design: machine learning-driven inverse optimization of silicon photonics Bragg gratings. [PDF]

Sci Rep
Khafagy M, Khafagy M, Swillam MA.
europepmc   +1 more source

Machine learning model optimization with optuna for accurate prediction of strength and crack behavior in prestressed concrete beams. [PDF]

Sci Rep
Wen Y, Guo R, Duan Z, Tong Y, Tang X, Pan T, Fu C.   +6 more
europepmc   +1 more source

easytrack: A napari plugin for automated parameter tuning in cell tracking. [PDF]

MicroPubl Biol
Huygelen T, Lowe A, Mao Y, Vicente-Munuera P.   +3 more
europepmc   +1 more source

Evaluating mobile app performance through sentiment analysis with SimCLR and MobileBERT. [PDF]

PLoS One
Zhang R, Ullah A, Khan KU, Khan MN, Chohan RT, Aadil F.   +5 more
europepmc   +1 more source