Machine Performance | List of Frontiers open access articles

Original Research

Published on 01 Apr 2022

Fast and Accurate Traction Induction Machine Performance Calculation Method for Integrated Onboard Charging in Vehicle to Grid Application

in Smart Grids

Haiwei Cai
Ru Huang
Hao Zhai
Honghua Xu
Shaojun Liu
Jingzhou Xu

Frontiers in Energy Research

doi 10.3389/fenrg.2022.875706

2,415 views

Original Research

Published on 07 Dec 2022

A comparative study of gastric histopathology sub-size image classification: From linear regression to visual transformer

in Pathology

Weiming Hu
Haoyuan Chen
Wanli Liu
Xiaoyan Li
Hongzan Sun
Xinyu Huang
Marcin Grzegorzek
Chen Li

Frontiers in Medicine

doi 10.3389/fmed.2022.1072109

4,102 views
16 citations

Original Research

Published on 26 May 2025

Self-assessment in machines boosts human Trust

in Human-Robot Interaction

Dana Warmsley
Krishna Choudhary
Jocelyn Rego
Emma Viani
Praveen K. Pilly

Frontiers in Robotics and AI

doi 10.3389/frobt.2025.1557075

2,601 views
3 citations

Original Research

Published on 29 Apr 2025

Operational efficiency and environmental impacts: a study on cut-to-length logging in the Carpathian forests

in Forest Management

Michal Allman
Martin Jankovský
Vladimír Bobrík
Zuzana Dudáková

Frontiers in Forests and Global Change

doi 10.3389/ffgc.2025.1567136

2,774 views

Review

Published on 10 Mar 2025

Artificial intelligence and the diagnosis of oral cavity cancer and oral potentially malignant disorders from clinical photographs: a narrative review

in Oral Cancers

Payam Mirfendereski
Grace Y. Li
Alexander T. Pearson
Alexander Ross Kerr

Frontiers in Oral Health

doi 10.3389/froh.2025.1569567

6,891 views
9 citations

Original Research

Published on 14 Feb 2020

Dosimetric Optimization and Commissioning of a High Field Inline MRI-Linac

in Radiation Oncology

Urszula Jelen
Bin Dong
Jarrad Begg
Natalia Roberts
Brendan Whelan
Paul Keall
Gary Liney

Frontiers in Oncology

doi 10.3389/fonc.2020.00136

7,675 views
21 citations

Original Research

Published on 28 Aug 2025

Development of fully automated deep-learning-based approach for prediction of sentinel lymph node metastasis in breast cancer patients using ultrasound imaging

in Breast Cancer

Taixia Liu
Guojia Zhao
Wei Wei
Qingling Zhang
Jing Wu
Xuying Chen
Dong Liu
Xiangming Zhu

Frontiers in Oncology

doi 10.3389/fonc.2025.1592521

2,311 views

Articles

Fast and Accurate Traction Induction Machine Performance Calculation Method for Integrated Onboard Charging in Vehicle to Grid Application

A comparative study of gastric histopathology sub-size image classification: From linear regression to visual transformer

Self-assessment in machines boosts human Trust

Operational efficiency and environmental impacts: a study on cut-to-length logging in the Carpathian forests

Artificial intelligence and the diagnosis of oral cavity cancer and oral potentially malignant disorders from clinical photographs: a narrative review

Dosimetric Optimization and Commissioning of a High Field Inline MRI-Linac

Development of fully automated deep-learning-based approach for prediction of sentinel lymph node metastasis in breast cancer patients using ultrasound imaging