Multilayer Perceptron Mlp | List of Frontiers open access articles

Original Research

Published on 28 Apr 2015

Optimization of technological procedure for amygdalin isolation from plum seeds (Pruni domesticae semen)

in Plant Metabolism and Chemodiversity

Ivan M. Savic
Vesna D. Nikolic
Ivana M. Savic-Gajic
Ljubisa B. Nikolic
Svetlana R. Ibric
Dragoljub G. Gajic

Frontiers in Plant Science

doi 10.3389/fpls.2015.00276

12,344 views
46 citations

Original Research

Published on 04 Dec 2025

Transformer winding deformation diagnosis method based on dynamic time warping and multilayer perceptron

in Smart Grids

Guobin Wang
Kang Wang
Xiaolin Xu
Guangyu Shi
Yu Lu
Shengwen Shu

Frontiers in Energy Research

doi 10.3389/fenrg.2025.1731410

869 views

Original Research

Published on 04 Oct 2024

MRI radiomics combined with machine learning for diagnosing mild cognitive impairment: a focus on the cerebellar gray and white matter

in Alzheimer's Disease and Related Dementias

Andong Lin
Yini Chen
Yi Chen
Zhinan Ye
Weili Luo
Ying Chen
Yaping Zhang
Wenjie Wang

Frontiers in Aging Neuroscience

doi 10.3389/fnagi.2024.1460293

4,544 views
11 citations

Review

Published on 06 Feb 2024

Interpretable machine learning model to predict surgical difficulty in laparoscopic resection for rectal cancer

in Gastrointestinal Cancers: Colorectal Cancer

Miao Yu
Zihan Yuan
Ruijie Li
Bo Shi
Daiwei Wan
Xiaoqiang Dong

Frontiers in Oncology

doi 10.3389/fonc.2024.1337219

6,156 views
17 citations

Original Research

Published on 23 Jul 2025

Develop and validate a machine learning model to predict the risk of persistent pain after percutaneous transforaminal endoscopic discectomy

in Orthopedic Surgery

Jun Yuan
Jun Fu

Frontiers in Surgery

doi 10.3389/fsurg.2025.1631651

2,025 views

Original Research

Published on 27 Nov 2024

Construction of a risk prediction model for postoperative deep vein thrombosis in colorectal cancer patients based on machine learning algorithms

in Gastrointestinal Cancers: Colorectal Cancer

Xin Liu
Xingming Shu
Yejiang Zhou
Yifan Jiang

Frontiers in Oncology

doi 10.3389/fonc.2024.1499794

5,376 views
8 citations

Original Research

Published on 23 Mar 2023

Ensemble learning with speaker embeddings in multiple speech task stimuli for depression detection

in Perception Science

Zhenyu Liu
Huimin Yu
Gang Li
Qiongqiong Chen
Zhijie Ding
Lei Feng
Zhijun Yao
Bin Hu

Frontiers in Neuroscience

doi 10.3389/fnins.2023.1141621

5,165 views
8 citations

Original Research

Published on 05 Jul 2024

Predicting successful trading in the West Texas Intermediate crude oil cash market with machine learning nature-inspired swarm-based approaches

in Mathematical Finance

Ehsan Zohreh Bojnourdi
Arash Mansoori
Samira Jowkar
Mina Alvandi Ghiasvand
Ghazal Rezaei
Seyed Ali Tabatabaei
Seyed Behnam Razavian
Mohammad Mehdi Keshvari

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2024.1376558

2,820 views
3 citations

Original Research

Published on 02 Oct 2025

Predictive modeling of acute radiation-induced dermatitis in nasopharyngeal carcinoma patients undergoing tomotherapy using machine learning with multimodal data integration

in Thoracic Oncology

Jiabiao Hong
Yuhao Lin
Xiaoting Lin
Linghui Yan
Jihong Chen
Huabing Chen
Miaomiao Zeng
Shuzhen Yuan

Frontiers in Oncology

doi 10.3389/fonc.2025.1601493

2,146 views

Articles

Optimization of technological procedure for amygdalin isolation from plum seeds (Pruni domesticae semen)

Transformer winding deformation diagnosis method based on dynamic time warping and multilayer perceptron

MRI radiomics combined with machine learning for diagnosing mild cognitive impairment: a focus on the cerebellar gray and white matter

Interpretable machine learning model to predict surgical difficulty in laparoscopic resection for rectal cancer

Develop and validate a machine learning model to predict the risk of persistent pain after percutaneous transforaminal endoscopic discectomy

Construction of a risk prediction model for postoperative deep vein thrombosis in colorectal cancer patients based on machine learning algorithms

Ensemble learning with speaker embeddings in multiple speech task stimuli for depression detection

Predicting successful trading in the West Texas Intermediate crude oil cash market with machine learning nature-inspired swarm-based approaches

Predictive modeling of acute radiation-induced dermatitis in nasopharyngeal carcinoma patients undergoing tomotherapy using machine learning with multimodal data integration