Results 11 to 20 of about 980,436 (340)

Machine learning approach to evaluate TdP risk of drugs using cardiac electrophysiological model including inter-individual variability

Frontiers in Physiology, 2023
Introduction: Predicting ventricular arrhythmia Torsade de Pointes (TdP) caused by drug-induced cardiotoxicity is essential in drug development. Several studies used single biomarkers such as qNet and Repolarization Abnormality (RA) in a single cardiac ...
Yunendah Nur Fuadah, Yunendah Nur Fuadah, Ali Ikhsanul Qauli, Ali Ikhsanul Qauli, Aroli Marcellinus, Muhammad Adnan Pramudito, Ki Moo Lim, Ki Moo Lim, Ki Moo Lim   +8 more
doaj   +1 more source

Grid Search Based Tire-Road Friction Estimation

IEEE Access, 2020
The tire-road friction coefficient (μmax) is an important input for vehicle dynamics control system and automated driving modules. However, reliable and accurate measurement of this parameter is difficult and costly in mass-produced vehicles and ...
Liang Shao, Chi Jin, Arno Eichberger, Cornelia Lex   +3 more
doaj   +1 more source

Financial Fraud Detection and Prediction in Listed Companies Using SMOTE and Machine Learning Algorithms

Entropy, 2022
This paper proposes a new method that can identify and predict financial fraud among listed companies based on machine learning. We collected 18,060 transactions and 363 indicators of finance, including 362 financial variables and a class variable. Then,
Zhihong Zhao, Tongyuan Bai
doaj   +1 more source

Parameter estimation of support vector machine with radial basis function kernel using grid search with leave-p-out cross validation for classification of motion patterns of subviral particles

Current Directions in Biomedical Engineering, 2021
The classification of subviral particle motion in fluorescence microscopy video sequences is relevant to drug development. This work introduces a method for estimating parameters for support vector machines (SVMs) with radial basis function (RBF) kernels
Schuhmann Ricardo M., Rausch Andreas, Schanze Thomas   +2 more
doaj   +1 more source

Prediction model and demonstration of regional agricultural carbon emissions based on PCA-GS-KNN: a case study of Zhejiang province, China

Environmental Research Communications, 2023
The paper proposes a prediction algorithm that is composed with principal component analysis (PCA), grid search (GS) and K-nearest neighbours (KNN). Firstly, in order to solve the problem of multicollinearity in multiple regression, principal component ...
Yanwei Qi, Huailiang Liu, Jianbo Zhao, Xinghua Xia   +3 more
doaj   +1 more source

Komparasi Teknik Hyperparameter Optimization pada SVM untuk Permasalahan Klasifikasi dengan Menggunakan Grid Search dan Random Search

Journal of Applied Informatics and Computing, 2023
Classification is one of the important tasks in the field of Machine Learning. Classification can be viewed as an Optimization Problem (Optimization Problem) with the aim of finding the best model that can represent the relationship/pattern between data ...
Muhamad Fajri, Aji Primajaya
doaj   +1 more source

Perbandingan Kinerja Algoritma Optimasi pada Metode Random Forest untuk Deteksi Kegagalan Jantung

Jurnal Rekayasa Elektrika, 2022
Abstrak— Jantung merupakan salah satu organ terpenting dalam tubuh manusia. Kegagalan jantung pada pasien dapat mengakibatkan dampak yang vital dan berujung pada kematian.
Unang Sunarya, Tita Haryanti
doaj   +1 more source

Multichannel Capacitive Imaging of Gas Vortex in Swirling Two-Phase Flows Using Parametric Reconstruction

IEEE Access, 2020
Swirl-based inline phase separation is a promising approach in the process industry with potential application in oil and gas separation in petroleum industry. To increase the efficiency of the separation, the process may be controlled. In this direction,
Muhammad Awais Sattar, Aluisio Do Nascimento Wrasse, Rigoberto E. M. Morales, Daniel Rodrigues Pipa, Robert Banasiak, Marco J. Da Silva, Laurent Babout   +6 more
doaj   +1 more source

Prediction Model for Transient NOx Emission of Diesel Engine Based on CNN-LSTM Network

Energies, 2023
In order to address the challenge of accurately predicting nitrogen oxide (NOx) emission from diesel engines in transient operation using traditional neural network models, this study proposes a NOx emission forecasting model based on a hybrid neural ...
Qianqiao Shen, Guiyong Wang, Yuhua Wang, Boshun Zeng, Xuan Yu, Shuchao He   +5 more
doaj   +1 more source

Spatial search on grids with minimum memory [PDF]

Quantum Information and Computation, 2015
We study quantum algorithms for spatial search on finite dimensional grids. Patel \textit{et al.}~and Falk have proposed algorithms based on a quantum walk without a coin, with different operators applied at even and odd steps. Until now, such algorithms have been studied only using numerical simulations.
Ambainis, Andris, Portugal, Renato, Nahimov, Nikolay   +2 more
openaire   +2 more sources