Probability Density Function Pdf | List of Frontiers open access articles

Original Research

Published on 14 Mar 2016

Estimation of Wind-Induced Pressures on a Low-Rise Building Using Quasi-Steady Theory

in Wind Engineering and Science

Chieh-Hsun Wu
Gregory A. Kopp

Frontiers in Built Environment

doi 10.3389/fbuil.2016.00005

5,137 views
23 citations

Original Research

Published on 18 Feb 2022

Statistical Properties of Labor Productivity Distributions

in Social Physics

Atushi Ishikawa
Shouji Fujimoto
Takayuki Mizuno

Frontiers in Physics

doi 10.3389/fphy.2022.848193

2,732 views
5 citations

Original Research

Published on 25 Oct 2021

Fast Posterior Estimation of Cardiac Electrophysiological Model Parameters via Bayesian Active Learning

in Computational Physiology and Medicine

Md Shakil Zaman
Jwala Dhamala
Pradeep Bajracharya
John L. Sapp
B. Milan Horácek
Katherine C. Wu
Natalia A. Trayanova
Linwei Wang

Frontiers in Physiology

doi 10.3389/fphys.2021.740306

2,880 views
11 citations

Original Research

Published on 11 Mar 2022

Future Changes in Drought Frequency Due To Changes in the Mean and Shape of the PDSI Probability Density Function Under RCP4.5 Scenario

in Atmospheric Science

Yulei Qi
Haipeng Yu
Qiang Fu
Quanliang Chen
Jinjiang Ran
Zesu Yang

Frontiers in Earth Science

doi 10.3389/feart.2022.857885

6,391 views
27 citations

Original Research

Published on 12 Dec 2024

Automated diagnosis of respiratory diseases from lung ultrasound videos ensuring XAI: an innovative hybrid model approach

in Computer Vision

Arefin Ittesafun Abian
Mohaimenul Azam Khan Raiaan
Asif Karim
Sami Azam
Nur Mohammad Fahad
Niusha Shafiabady
Kheng Cher Yeo
Friso De Boer

Frontiers in Computer Science

doi 10.3389/fcomp.2024.1438126

7,390 views
10 citations

Original Research

Published on 06 Oct 2022

Ion alfvén velocity fluctuations and implications for the diffusion of streaming cosmic rays

in Astrostatistics

James R. Beattie
Mark R. Krumholz
Christoph Federrath
Matt L. Sampson
Roland M. Crocker

Frontiers in Astronomy and Space Sciences

doi 10.3389/fspas.2022.900900

3,626 views
27 citations

Original Research

Published on 14 Nov 2017

Functional Brain Imaging Synthesis Based on Image Decomposition and Kernel Modeling: Application to Neurodegenerative Diseases

Francisco J. Martinez-Murcia
Juan M. Górriz
Javier Ramírez
Ignacio A. Illán
Fermín Segovia
Diego Castillo-Barnes
Diego Salas-Gonzalez

Frontiers in Neuroinformatics

doi 10.3389/fninf.2017.00065

6,995 views
17 citations

Original Research

Published on 21 Oct 2020

A Source Clustering Approach for Efficient Inundation Modeling and Regional Scale Probabilistic Tsunami Hazard Assessment

in Geohazards and Georisks

Amy L. Williamson
Donsub Rim
Loyce M. Adams
Randall J. LeVeque
Diego Melgar
Frank I. González

Frontiers in Earth Science

doi 10.3389/feart.2020.591663

3,663 views
28 citations

Original Research

Published on 18 Nov 2022

Development and validation of a machine learning model to predict the risk of lymph node metastasis in renal carcinoma

in Cancer Endocrinology

Xiaowei Feng
Tao Hong
Wencai Liu
Chan Xu
Wanying Li
Bing Yang
Yang Song
Ting Li
Wenle Li
Hui Zhou

Frontiers in Endocrinology

doi 10.3389/fendo.2022.1054358

10,615 views
32 citations

Original Research

Published on 08 Dec 2022

Incorporation of a machine learning pathological diagnosis algorithm into the thyroid ultrasound imaging data improves the diagnosis risk of malignant thyroid nodules

in Cancer Imaging and Image-directed Interventions

Wanying Li
Tao Hong
Jianqiang Fang
Wencai Liu
Yuwen Liu
Cunyu He
Xinxin Li
Chan Xu
Bing Wang
Yuanyuan Chen

Frontiers in Oncology

doi 10.3389/fonc.2022.968784

4,579 views
6 citations

Original Research

Published on 11 Apr 2022

A Novel Nomogram for Prediction and Evaluation of Lymphatic Metastasis in Patients With Renal Cell Carcinoma

in Genitourinary Oncology

Wenle Li
Bing Wang
Shengtao Dong
Chan Xu
Yang Song
Ximin Qiao
Xiaofeng Xu
Meijin Huang
Chengliang Yin

Frontiers in Oncology

doi 10.3389/fonc.2022.851552

4,131 views
10 citations

Articles

Estimation of Wind-Induced Pressures on a Low-Rise Building Using Quasi-Steady Theory

Statistical Properties of Labor Productivity Distributions

Fast Posterior Estimation of Cardiac Electrophysiological Model Parameters via Bayesian Active Learning

Future Changes in Drought Frequency Due To Changes in the Mean and Shape of the PDSI Probability Density Function Under RCP4.5 Scenario

Automated diagnosis of respiratory diseases from lung ultrasound videos ensuring XAI: an innovative hybrid model approach

Ion alfvén velocity fluctuations and implications for the diffusion of streaming cosmic rays

Functional Brain Imaging Synthesis Based on Image Decomposition and Kernel Modeling: Application to Neurodegenerative Diseases

A Source Clustering Approach for Efficient Inundation Modeling and Regional Scale Probabilistic Tsunami Hazard Assessment

Development and validation of a machine learning model to predict the risk of lymph node metastasis in renal carcinoma

Incorporation of a machine learning pathological diagnosis algorithm into the thyroid ultrasound imaging data improves the diagnosis risk of malignant thyroid nodules

A Novel Nomogram for Prediction and Evaluation of Lymphatic Metastasis in Patients With Renal Cell Carcinoma