Results 81 to 90 of about 4,344 (219)

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
openaire   +2 more sources

BayesianKAN: A reaction condition optimization framework integrating Kolmogorov‐Arnold network and Bayesian optimization

Smart Molecules, EarlyView.
A novel BayesianKAN framework integrates Kolmogorov‐Arnold networks with Bayesian optimization to efficiently navigate complex factor spaces, accelerating the discovery of optimal reaction conditions for chemical synthesis. Abstract Efficient optimization of chemical reaction conditions is crucial for enhancing reaction yield and selectivity, yet ...
Juntao Wang, Yujing Zhao, Peiyu Yi, Liyuan Duan, Qingwei Meng, Qilei Liu   +5 more
wiley   +1 more source

Optimization of a New Adaptive Stacking Ensemble Model Integrated with IoT for Stress Level Detection Based on Physiological Signals

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
Mental health issues among college students are receiving increasing attention, particularly because of academic and social pressures and the impact of technology use.
Muhardi, Mohd Rinaldi Amartha, Rika Melyanti, Yuda Irawan   +3 more
doaj   +1 more source

Optimization of The Machine Learning Approach using Optuna in Heart Disease Prediction

Journal Medical Informatics Technology, 2023
Heart disease prediction is a critical area in healthcare, as early identification and accurate assessment of cardiovascular risks can lead to improved patient outcomes. This study explores the application of machine learning techniques for predicting heart disease.
openaire   +1 more source

Can AI be Easy? Lessons Learned From the EZR.py Toolkit

Software: Practice and Experience, EarlyView.
ABSTRACT Much recent press claims that developers no longer need to read code. We disagree, at least within the domain of tabular software‐engineering (SE) optimization tasks: rows of x$$ x $$ and y$$ y $$ values where the y$$ y $$ values are expensive to obtain.
Tim Menzies, Srinath Srinivasan, Kishan Ganguly   +2 more
wiley   +1 more source

Classification of Infected Salmon Using CNN Deep Features and Optuna-Optimized SVM [PDF]

Fish diseases are a major challenge in the aquaculture industry, impacting productivity and the economy, particularly in salmon farming. This study aims to develop an image classification system for infected salmon using Convolution Neural Network (CNN ...
Ayu, Putu Desiana Wulaning, Pradita, Agus Hendra, Hostiadi, Dandy Pramana   +2 more
core   +2 more sources

Prediction of the Critical Temperature of Superconductors Based on Two-Layer Feature Selection and the Optuna-Stacking Ensemble Learning Model

, 2023
The study of superconductors’ critical temperature (Tc) has been a matter of interest. A method combining a two-layer feature selection (TL) and Optuna-Stacking ensemble learning model is proposed in the study for predicting Tc from physicochemical ...
Rongshun Pan (14423149), Yongman Zhao, Jiahao Yu (3208470), Yongman Zhao (14423146), Xue Zhou (68629), Zikai Wei (14423152), Jiahao Yu, Rongshun Pan, Xue Zhou, Zikai Wei   +9 more
core   +1 more source

Family Data Clustering Based on Welfare Levels Using Self-Organizing Maps

Journal of Applied Informatics and Computing
Sub-district socio-economic data on family welfare from BKKBN is high-dimensional and multivariate. The data pattern is highly complex with a positive asymmetric (right-skewed) distribution.
Zulfan Amal Arridlo, Ai Rosita, Dedah Ningrum   +2 more
doaj   +1 more source

Decreasing the Environmental Impact of the Electric Steelmaking Route Through Advanced Modelling Techniques

steel research international, EarlyView.
Ensemble models are adopted to estimate the sterile content of scraps arriving to the scrap yard. Feed‐forward neural networks are exploited to estimate steel composition and temperature after Ladle furnace. The models are validated on data from two steelworks very satisfactory results and are inherently transferable to other steelworks, as they are ...
Valentina Colla, Antonella Zaccara, Stefano Dettori, Laura Laid, Ismael Matino, Silvia Cateni, Teresa Annunziata Branca, Lorenzo Vannini   +7 more
wiley   +1 more source

Analysis of Red Bird’s Eye Chili Price Dynamics in Surabaya Using an Optuna-Optimized ARIMA-LightGBM Model

Journal of Applied Informatics and Computing
Red bird’s eye chili is one of the food commodities widely needed by the community and tends to experience price fluctuations. This situation can create difficulties for consumers, traders, and food business operators in planning purchases.
Imara Luthfiya, Kartika Maulida Hindrayani, Aviolla Terza Damaliana   +2 more
doaj   +1 more source